Description:FIELD OF THE INVENTION

[0001] The present invention relates to a greenhouse environment management system that is capable of detecting type of plant grown within a greenhouse planting environment and monitors various environmental conditions to maintain optimal temperature for the plants within the environment along with detecting pest infection on the plants and accordingly dispensing suitable amounts of fertilizers, pesticides, and water for proper nourishment and protection of the plants.

BACKGROUND OF THE INVENTION

[0002] Traditional greenhouse management systems often require significant manual intervention for plant monitoring, pest detection, watering, and fertilization, making the process labor-intensive and prone to human error. Farmers and greenhouse operators typically rely on periodic checks to assess soil conditions, plant health, and environmental factors such as temperature and humidity. This lack of automation leads to inconsistent plant care, inefficient resource usage, and reduced yield potential, especially when dealing with large-scale operations or plant species with varying needs.

[0003] In recent years, the demand for smart agriculture solutions has increased to improve productivity and sustainability. However, existing systems are either limited in their ability to accurately identify plant types and conditions or lack integrated automation to provide tailored care. There is a need for a unified and intelligent system that not only monitors environmental and plant conditions in real time but also automates key greenhouse operations such as watering, trimming, pest control, and fertilization. The present invention addresses these limitations by introducing a comprehensive management system capable of automated plant-specific monitoring and responsive care delivery.

[0004] US8707617B2 relates to an invention about a greenhouse generally comprising a growing section and a climate control system adjacent to the growing section. The climate control system controls the environment within the growing section by flowing ambient air from outside the greenhouse into the growing section, re-circulating air from the growing section back into the growing section, or a combination thereof. A method for controlling the temperature within a greenhouse growing section comprises flowing air into the growing section from outside the greenhouse to reduce the temperature in the growing section. Warm air is flowed into the growing section to increase the temperature in the growing section, and air within the growing section is re-circulated when the temperature therein is at the desired level.

[0005] US20160212948A1 discloses about a fully-automated greenhouse that utilizes hydroponic growing techniques in order to maximize the amount of crop production possible in a given footprint, and eliminates the need for soil, fossil fuels, pesticides and toxic chemicals. The greenhouse produces its own pure, clean water supply with proprietary, on-board atmospheric water generators incorporating water treatment technology, namely ozone, hydrodynamic cavitation, acoustical cavitation, and electrochemical oxidation to oxidize and destroy contaminants to maintain purity.

[0006] Conventionally, many systems have been developed to optimize greenhouse environments by integrating climate control technologies, hydroponic cultivation techniques, or water purification methods. However, these systems often focus on isolated functionalities and fail to provide a comprehensive, unified approach that incorporates real-time detection of plant types, environmental monitoring, pest management, and resource distribution. Additionally, such conventional systems lack the adaptability to respond to the specific needs of different plant species or to adjust based on varying weather conditions and growth stages, which lead to sub-optimal plant health and reduced agricultural productivity.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to automatically identify the type of plant grown within the greenhouse environment, and intelligently adjusting internal environmental parameters such as temperature, humidity, lighting, and soil moisture. Moreover, the system also requires to incorporate pest detection means, data-driven control of irrigation and nutrient delivery.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a system that detects a type of plant grown within a greenhouse environment and monitoring of environmental conditions including temperature, humidity, sunlight intensity and soil moisture to ensure optimal growth conditions within the enclosure.

[0010] Another object of the present invention is to develop a system that detects pest infection on the plants and accordingly initiate pest control operations.

[0011] Another object of the present invention is to develop a system that predict plant growth patterns and yield outcomes over time, thereby allowing efficient resource planning and crop management.

[0012] Yet another object of the present invention is to develop a system that provides guided instructions to a user for optimal placement of soil heating mats around plants based on real-time temperature data and plant species needs.

[0013] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0014] The present invention relates to a greenhouse environment management system that manage a plant growth within a greenhouse environment by monitoring environmental parameters such as soil moisture, temperature, sunlight, and plant health to perform irrigation, fertilization, pest control and climate regulation to optimize plant development and yield.

[0015] According to an embodiment of the present invention, a greenhouse environment management system, comprises of a plurality of artificial intelligence-based imaging units installed inside a greenhouse environment and paired with a processor for capturing and processing multiple images of inner surroundings of an enclosure, a first sensing module integrated within the enclosure, configured to monitor environmental conditions including temperature, humidity, CO2 concentration, light intensity, and growth metrics of the grown plants, plurality of rotatable air blowers provided inside the enclosure adjusting temperature and humidity inside the enclosure to optimize plant health and maximizing yield, a motorized dual-axis slider provided on a ceiling portion of the enclosure to translate a telescopic rod attached with the slider over different areas of soil to insert a free-end of the rod inside the soil, a second sensing module integrated with the free-end of the rod for monitoring parameters including pH level and nutritional content in soil of the enclosure, a rotatable thermal camera provided inside the enclosure to monitor condition of the plants and detect pest infection in the plants, a multi-sectioned chamber installed on the slider via a supporting link and configured with an electronically controlled spout to dispense the suitable fertilizer/pesticide on the plants and soil.

[0016] According to another embodiment of the present invention, the system further comprises of an articulated arm integrated with a motorized cutting unit installed on the slider to cut different parts of plant which are collected inside a receptacle installed inside the enclosure, an electronic valve attached with a vessel stored with water and configured at the slider for dispensing the water over soil, a storage unit stored with soil heating mats is provided inside the enclosure, providing real-time instructions to user via a computing unit accessed by the user for optimal placement of soil heating mats around plants based on soil temperature data and plant species requirements, multiple solar panels mounted on roof top of the enclosure via tilting assembly, configured to automatically adjust angle of the solar panels to capture maximum sunlight based on real-time weather data and sun's position, as detected by a sun sensor integrated on the body and multiple LED lights are mounted on ceiling of the enclosure, with intensity and activation of the lights being dynamically adjusted based on light intensity requirements of specific plant species.

[0017] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0018] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of a greenhouse environment management system.

DETAILED DESCRIPTION OF THE INVENTION

[0019] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0020] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0021] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0022] The present invention relates to a greenhouse environment management system that is designed to detect a type of plant cultivated within a greenhouse setup and monitor various environmental parameters to maintain optimal growing conditions, including temperature regulation. The system further identify pest infections on the plants and, in response, dispense appropriate quantities of fertilizers, pesticides and water to ensure proper nourishment and protection of the plants.

[0023] Referring to Figure 1, an isometric view of a greenhouse environment management system is illustrated, comprising a plurality of artificial intelligence-based imaging units 101 installed inside a greenhouse environment for capturing and processing multiple images of an enclosure 102, a first sensing module 103 integrated within the enclosure 102, plurality of rotatable air blowers 104 provided inside the enclosure 102, a motorized dual-axis slider 105 provided on a ceiling portion of the enclosure 102, a telescopic rod 106 attached with the slider 105, a second sensing module 107 integrated with the free-end of the rod 106, a rotatable thermal camera 108 provided inside the enclosure 102.

[0024] Figure 1 further illustrates a multi-sectioned chamber 109 installed on the slider 105 via a supporting link 110 and configured with an electronically controlled spout, an articulated arm 111 integrated with a motorized cutting unit 112 installed on the slider 105, a receptacle 113 installed inside the enclosure 102, an electronic valve attached with a vessel 114 configured at the slider 105, a storage unit 115 stored with soil heating mats provided inside the enclosure 102, multiple solar panels 116 mounted on roof top of the enclosure 102 via tilting assembly, a sun sensor 117 integrated on the enclosure 102 and multiple LED lights 118 mounted on ceiling of the enclosure 102.

[0025] The present system comprises a plurality of artificial intelligence-based imaging units 101 strategically installed within an enclosure of greenhouse planting environment. Each imaging unit 101 is operatively paired with a processor configured to capture and process images of the internal surroundings of an enclosure 102. An inbuilt microcontroller is associated with the system and operably connected to each of the imaging units 101, wherein the microcontroller activates the imaging unit 101 to capture multiple images of the internal surroundings of the enclosure 102.

[0026] The imaging unit 101 comprises of an image capturing arrangement including a set of lenses that captures multiple images of the surroundings of the enclosure 102, and the captured images are stored within a memory of the imaging unit 101 in form of an optical data. The imaging unit 101 also comprises of the processor that is integrated with artificial intelligence protocols, such that the processor processes the optical data and extracts the required data from the captured images. The extracted data is further converted into digital pulses and bits and are further transmitted to the microcontroller. The microcontroller processes the received data and identifying the type of plants cultivated within the enclosure 102.

[0027] A first sensing module 103 is integrated within the enclosure 102, configured to monitor environmental conditions including temperature, humidity, CO2 concentration, light intensity, and growth metrics of the grown plants. The sensing module 103 used herein comprises of DHT22 sensor, MH-Z19 sensor, LDR, and an ultrasonic distance sensor, respectively, that are activated by the microcontroller.

[0028] The DHT22 sensor operates using a capacitive humidity sensing element and a thermistor for temperature measurement. Inside the DHT22 sensor, the humidity sensing component consists of two electrodes separated by a moisture-holding substrate whose dielectric permittivity changes with relative humidity. This change is converted into an electrical signal. The thermistor is a temperature-sensitive resistor whose resistance varies predictably with temperature. A low-power 8-bit microcontroller integrated within the sensor reads analog data from both components, performs digital signal processing (DSP) to filter noise and calibrate the readings, and then transmits the data in a digital format to the microcontroller. The microcontroller processes the received data to evaluate the prevailing temperature and humidity inside the enclosure 102.

[0029] The MH-Z19 sensor is a nondispersive infrared (NDIR) CO₂ sensor that works by measuring the absorption of infrared light at a wavelength specific to carbon dioxide. The sensor contains an infrared light emitter and a detector positioned at opposite ends of a small optical chamber. As air flows into the chamber, any CO₂ molecules present absorb IR radiation at a wavelength of around 4.26 µm. The photodetector measures the intensity of the transmitted light; a drop in intensity correlates with higher CO₂ concentration. The microcontroller processes this signal and detects the CO₂ level inside the enclosure 102.

[0030] The LDR (Light Dependent Resistor), also known as a photoresistor, operates by changes its electrical resistance based on the intensity of incident light. The LDR (Light Dependent Resistor) is made of a high-resistance semiconductor material like cadmium sulfide (CdS). When light photons hit the surface, they excite electrons, increasing the material’s conductivity and thus decreasing its resistance. The change in resistance is measured through a voltage divider circuit, where the voltage drop across the LDR varies depending on the light intensity. This analog voltage signal is then read by an analog-to-digital converter (ADC) in the microcontroller, which interprets it as varying levels of ambient light inside the enclosure 102.

[0031] The ultrasonic distance sensor operates using a pair of transducers: a transmitter and a receiver. The transmitter emits high-frequency ultrasonic sound waves (typically at 40 kHz), which propagate through the air until they hit an object (e.g., the top of a plant) and reflect back. The receiver detects the echo, and the sensor calculates the time interval between sending and receiving the signal. The internal circuitry and timing logic of the sensor enable precise distance measurements, which are relayed to the main microcontroller to infer the plant’s height and monitor growth over time.

[0032] The data collected by the sensing module 103 is aggregated by the inbuilt microcontroller, which continuously processes the data and adjusts the actuation of a plurality of rotatable air blowers 104 positioned inside the enclosure 102. The air blowers 104 regulate airflow, temperature, and humidity to maintain optimal growing conditions for the plants. The rotatable air blowers 104 comprises of an electric motor, fan blades and a servo motor. The electric motor, typically a brushless DC motor, drives the fan blades to generate a high-velocity stream of air, which aids in regulating the enclosure’s 102 internal airflow. The air blowers 104 are mounted on the enclosure 102 by means of a motorized pivot joint that enables angular displacement to the air blowers 104 in different directions.

[0033] A motorized dual-axis slider 105 is mounted on a ceiling portion of the enclosure 102 that is activated by the microcontroller to provide translation motion to a telescopic rod 106 attached with the slider 105 over different areas of the soil to allow the rod 106 to insert a free-end of the rod 106 inside the soil. The dual-axis motorized slider 105 consists of two axes of motion, typically arranged perpendicular to each other, allowing movement in both horizontal and vertical directions. At its core, the slider 105 consists of a motorized means that drives the translation of the telescopic rod 106. The slider 105 utilize a stepper motor. The microcontroller sends signals to the motorized slider 105, dictating the precise movements required for positioning the telescopic rod 106 at specific coordinates above the soil.

[0034] Once the telescopic rod 106 reaches the desired location, the microcontroller activates the telescopic rod 106 to insert the free-end of the rod 106 inside the soil. The telescopic rod 106 is linked to a pneumatic unit, including an air compressor, air cylinders, air valves and piston which works in collaboration to aid in extension and retraction of the rod 106. The pneumatic unit is operated by the microcontroller. Such that the microcontroller actuates valve to allow passage of compressed air from the compressor within the cylinder, the compressed air further develops pressure against the piston and results in pushing and extending the piston. The piston is connected with the rod 106 and due to applied pressure, the rod 106 extends and similarly, the microcontroller retracts the rod 106 by closing the valve resulting in retraction of the piston. Thus, the microcontroller regulates the extension/retraction of the rod 106 in order to insert free-end of the rod 106 inside the soil.

[0035] A second sensing module 107 is mounted at the tip of the rod 106 to analyze soil parameters like pH and nutrient content, ensuring targeted and automated soil assessment across the enclosure 102. The second sensing module 107 includes a NPK (nitrogen, phosphorous and potassium) sensor, a pH sensor, and a laser diffraction sensor. The NPK (nitrogen, phosphorous and potassium) sensor that operates using ion-selective electrodes (ISEs) that detect the specific ions of each nutrient in the soil. Each ISE is designed to be sensitive to one of the NPK nutrients. When the microcontroller activates the NPK sensor, the sensor's electrodes are placed in contact with the soil or soil solution. The ion-selective membrane of each electrode interacts with its respective ion (nitrate for nitrogen, phosphate for phosphorus, and potassium ions). This interaction generates a potential difference across the membrane, proportional to the concentration of the specific ion. The resulting electrical signals from each ISE are then transmitted to the microcontroller, which processes these signals to quantify the concentration levels of nitrogen, phosphorus, and potassium in the soil.

[0036] The pH sensor consists of a glass electrode and a reference electrode submerged in the soil. The glass electrode is composed of a special hydrogen-ion-sensitive glass membrane that selectively allows hydrogen ions (H⁺) to interact with it. When the pH sensor is inserted into the soil, hydrogen ions from the moisture in the soil interact with the outer surface of the membrane, generating a measurable potential difference between the glass electrode and the stable internal reference electrode. This voltage, which varies with the hydrogen ion concentration, is processed using a high-impedance amplifier circuit and then converted into a pH value by the microcontroller. The resulting data provides an accurate measurement of soil acidity or alkalinity, which is critical for nutrient uptake and plant health.

[0037] The laser diffraction sensor works on the principle of scattering and diffraction of a coherent laser beam when it passes through a soil sample containing suspended particles. The core components include a laser diode, a sample presentation module, and a ring of photodetectors positioned at various angles. As the laser beam interacts with soil particles, it scatters at different angles depending on particle size—larger particles scatter light at smaller angles, while smaller particles scatter at wider angles. The photodetectors capture the angular intensity distribution of the scattered light. This allows the sensor to assess the texture and granulometry of the soil, which directly affects nutrient retention and water infiltration capacity.

[0038] A rotatable thermal camera 108 is provided inside the enclosure 102 that is activated by the microcontroller to continuously scan and monitor the plant’s condition by detecting heat signatures emitted from different parts of the plant. The thermal camera 108 consists of an infrared sensor array, a signal processor and a motorized rotation unit. The infrared sensor array captures the surface temperature variations of the plants, where any abnormal heat patterns such as localized hot spots or cold patches, indicates pest infestation and disease. The rotation of the thermal camera 108 is controlled by a servo motor, allowing the thermal camera 108 to turn across the enclosure 102 and capture thermal data from multiple angles. The data is processed and transmitted to the microcontroller, which interprets the condition of the crops in real time.

[0039] Based on this thermal data and the soil condition data (gathered by the second sensing module 107), the microcontroller actuates a suitable electronically controlled spout integrated within a multi-sectioned chamber 109 mounted on the slider 105 via a supporting link 110. Each section of the chamber 109 is designated to store a specific type of fertilizer or pesticide. The microcontroller evaluates the condition of the plant and soil, and selects the appropriate treatment from the chamber 109. Upon selection, the microcontroller actuates the corresponding electronically operated spout.

[0040] The electronically controlled spout operates primarily using a solenoid valve as its key component. The solenoid valve consists of a coil and a movable plunger. When the microcontroller sends an electric current to the coil, it generates a magnetic field that pulls the plunger, opening the spout to allow material flow. When the current is stopped, the plunger returns to its default position, closing the spout and halting the flow. This on/off actuation allows precise dispensing of the required quantity of the selected fertilizer or pesticide over the plant and soil. This results in a precise, targeted dispensing of fertilizer or pesticide over affected plants and soil areas, thereby optimizing crop health and minimizing waste.

[0041] An articulated arm 111 integrated with a motorized cutting unit 112 is mounted on the slider 105, wherein the articulated arm 111 is controlled by the microcontroller to perform precise cutting operations on targeted plant parts such as dead leaves, infected branches, or overgrown stems. The articulated arm 111 operates on the principle of coordinated multi-joint motion, achieved through a series of interconnected segments linked via rotary joints. Each joint is actuated by a servo motor that allows precise angular movement. These motors receive electrical signals from the microcontroller, which determines the position, speed, and angle of each segment based on real-time sensor and imaging data. The motors rotate each joint in a calculated sequence to move the motorized cutting unit 112 into the desired location.

[0042] The microcontroller then actuates the motorized cutting unit 112 work in sync with said imaging units 101 to selectively trim specific parts of the plant, such as wilted leaves, pest-infected segments, or overgrown stems. The cutting unit 112 involves a DC (Direct Current) motor and a blade. When the microcontroller activates the cutting unit 112, it supplies direct current to the DC motor. This motor converts the electrical energy into mechanical energy through the interaction of its internal coils and magnets, causing the motor shaft to rotate. This rotational motion is transferred to the blade. As the blade rotates, it moves precisely over the targeted regions of the plant as identified by the imaging unit 101, cutting out the undesired sections such as wilted leaves, pest-infected segments, or overgrown stems.

[0043] The trimmed materials are then directed into a receptacle 113 installed within the enclosure 102 for disposal, while the motorized lid on the receptacle 113 is regulated by the microcontroller to open and close during each collection cycle. The motorized lid operates using a compact electric motor integrated with a hinged lid. When the microcontroller sends a command signal, the motor receives power and rotates a gear arrangement connected to the lid, causing it to pivot open. This controlled movement allows trimmed materials to be directed into the receptacle 113 during collection cycles, and then securely closes the receptacle 113 to prevent spillage, all while maintaining synchronization with the overall plant maintenance operations.

[0044] An electronic valve is connected to a water vessel 114 and mounted on the slider 105. When soil moisture sensors detect dry soil, the microcontroller sends the signal to the electronic valve, which then opens to allow water to flow over the soil. The electronic valve comprises of an upper body that serves to hold down all the components present inside the valve including a permanent magnet that is incorporated with a shaft, a thread, a needle, and a seat to carry out the specified function of opening and closing the valve as per requirement. A stepper motor equipped with copper coils is used in the electronic valve to ensure smooth movement inside the valve when water are dispensed over the soil. The valve further includes a holder to hold down all the components aside from the motor and coil to maintain the longevity of the motor and is connected with the microcontroller to dispense the necessary amount of water over the soil to ensure that the plants receive optimal hydration for healthy growth.

[0045] Further, the microcontroller incorporates machine learning protocols like deep learning technique to analyze data collected from the enclosure’s 102 various sensors and imaging units 101. This analysis allows the system to forecast plant growth and yield over both short-term and long-term periods. In practice, the deep learning technique process trends and patterns in environmental conditions, plant health, and growth metrics. Based on these predictions, the system adjusts resource allocation such as water, fertilizer, or pesticide application in order to precisely match the anticipated needs of the plants. This proactive approach enables optimized resource usage, minimizes waste, and ensures that the plants receive the right inputs at the right times to maximize growth and overall yield.

[0046] A storage unit 115 houses soil heating mats is provided within the housing that is able to be deployed within the enclosure 102 to maintain optimal soil temperatures. The system integrates soil temperature sensors that continuously monitor the ambient conditions. This data, along with stored plant species requirements, is processed by a computing unit. The computing unit then provides real-time instructions to the user via a display interface, indicating the optimal placement of the soil heating mats around the plants. This ensures that the soil temperature is maintained within a range that promotes healthy root development and plant growth, especially during colder periods, thereby optimizing crop yield and resource efficiency.

[0047] Multiple solar panels 116 are mounted on the roof of the enclosure 102 using a tilting assembly that automatically adjusts the angle of the solar panels 116. A sun sensor 117 integrated into the enclosure 102 is activated by the microcontroller to detect the position of the sun and measures sunlight intensity, while real-time weather data further informs the microcontroller. The sun sensor 117 operates by using an array of light-sensitive components, such as photodiodes or phototransistors, which are arranged to capture sunlight from different angles. When sunlight strikes these sun sensor 117, they generate electrical signals proportional to the light intensity. The sun sensor 117 circuitry, which may include amplifiers and filters, processes these signals to accurately determine both the intensity and the directional angle of the sun relative to the enclosure 102.

[0048] This processed data is then sent to the microcontroller, enabling microcontroller to adjust the tilt assembly of the solar panels 116. The tilting assembly works using a simple motor-driven arrangement to adjust the angle of the solar panels 116. The tilting assembly mainly consists of a DC motor connected to a hinge or pivot joint that supports the panel 116. When the microcontroller receives input from the sun sensor 117 about the sun’s position, it sends a signal to the DC motor. The motor then rotates, which moves the hinge and tilts the panel 116 to a better angle for sunlight. This helps the solar panels 116 get the most sunlight during different times of the day, thus the solar panels 116 maximize solar energy capture based on the current position of the sun and prevailing weather conditions.

[0049] Multiple LED lights 118 are mounted on the ceiling of the enclosure 102, and their brightness and activation are automatically adjusted by the microcontroller based on the specific light intensity needs of different plant species. The LED (Light Emitting Diode) lights 118 operate based on the principle of electroluminescence, where light is emitted from a semiconductor material when an electric current passes through it. At the core of each LED is a semiconductor chip made of two layers—one with excess electrons (n-type) and the other with electron holes (p-type). When a voltage is applied, electrons from the n-type layer recombine with holes in the p-type layer at the junction, releasing energy in the form of photons (light). The color or wavelength of the emitted light depends on the materials used in the semiconductor. The LED lights 118 also includes a lens or encapsulation to focus and protect the lights 118, and a heat sink to dissipate heat, ensuring efficient and long-lasting illumination

[0050] The present invention works best in the following manner, where the microcontroller continuously receives input data from the sensing module 103 and imaging units 101 positioned within the enclosure 102 of the greenhouse environment. The sensing module 103, including a DHT22 sensor and soil-embedded second sensing module 103, collect vital environmental parameters such as temperature, humidity, soil pH, and nutrient levels. The imaging units 101, including the thermal camera 108, capture visual and thermal information about the plants to detect conditions like pest infestations or unhealthy growth patterns. Based on the analyzed data, the microcontroller dynamically regulates the plurality of components to maintain optimal conditions for plant growth. The rotatable air blowers 104 mounted on the pivot joint is activated to ensure uniform air circulation and climate control within the enclosure 102. The articulated arm 111, integrated with a motorized cutting unit 112 driven by the DC motor, is precisely guided to trim wilted or infected plant parts, which are collected inside the receptacle 113 having a motorized lid that opens and closes under microcontroller control. For irrigation, the electronic valve connected to a water vessel 114 dispenses water over dry soil areas identified through the sensors. The motorized dual-axis slider 105 mounted on the ceiling of the enclosure 102 translates a telescopic rod 106 across different soil regions for in-depth soil analysis using the integrated second sensing module 107. The multi-sectioned chamber 109 mounted on the slider 105 and equipped with electronically controlled spouts dispenses fertilizer or pesticide based on the plant’s needs. Solar panels 116 mounted via a tilting assembly adjust their angles based on sun sensor 117 data to maximize solar energy capture, while LED lights 118 on the ceiling automatically adjust brightness depending on the specific lighting requirements of each plant species. The storage unit 115 with heating mats also provides the user with placement instructions for localized soil warming.

[0051] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A greenhouse environment management system, comprising:

i) plurality of artificial intelligence-based imaging units 101 installed inside a greenhouse environment and paired with a processor for capturing and processing multiple images of enclosure 102 of said environment, respectively to detect type of plants grown inside said enclosure 102;
ii) a first sensing module 103 integrated within said enclosure 102, configured to monitor environmental conditions including temperature, humidity, CO2 concentration, light intensity, and growth metrics of said grown plants, wherein an inbuilt microcontroller aggregates data collected from said imaging unit 101 and first sensing module 103 and accordingly regulates actuation of plurality of rotatable air blowers 104 provided inside said enclosure 102 adjusting temperature and humidity inside said enclosure 102 to optimize plant health and maximizing yield;
iii) a motorized dual-axis slider 105 provided on a ceiling portion of said enclosure 102, configured to translate a telescopic rod 106 attached with said slider 105 over different areas of soil, said rod 106 is actuated by said microcontroller to insert a free-end of said rod 106 inside said soil, wherein a second sensing module 107 is integrated with said free-end for monitoring parameters including pH level and nutritional content in soil of said enclosure 102;
iv) a rotatable thermal camera 108 provided inside said enclosure 102 to monitor condition of said plants and detect pest infection in said plants, wherein a multi-sectioned chamber 109 is installed on said slider 105 via a supporting link 110, each section is integrated with an electronic spout, said microcontroller based on detected condition of soil and plant evaluates a suitable fertilizer/ pesticide, in accordance to which said microcontroller said electronically controlled spout integrated in said chamber 109 to dispense said suitable fertilizer/pesticide store in said chambers 109 on said plants and surface for proper nourishment of said crops; and
v) an articulated arm 111 integrated with a motorized cutting unit 112 installed on said slider 105, wherein said articulated arm 111 is guided by said microcontroller to cut different parts of plant which are collected inside a receptacle 113 installed inside said enclosure 102, wherein a motorized lid is provided on apex of said receptacle 113, dynamically regulated by said microcontroller for controlled collection of different parts of said plant.

2) The system as claimed in claim 1, wherein said first sensing module 103 comprises of DHT22 sensor, MH-Z19 sensor, LDR, and an ultrasonic distance sensor.

3) The system as claimed in claim 1, wherein said second sensing module 107 includes a NPK sensor, a pH sensor, and a laser diffraction sensor.

4) The system as claimed in claim 1, wherein an electronic valve is attached with a vessel 114 stored with water and configured at said slider 105, said microcontroller actuates said valve for dispensing said water over soil in synchronization with actuation of said slider 105 for watering over detected dry soil.

5) The system as claimed in claim 1, wherein said microcontroller utilizes machine learning protocols like deep learning techniques to predict plant growth and yield over different time intervals, including short-term and long-term, and thereby allowing for optimized resource usage and anticipation of plant needs.

6) The system as claimed in claim 1, wherein a storage unit 115 stored with soil heating mats is provided inside said enclosure 102, providing real-time instructions to user via a computing unit accessed by said user for optimal placement of soil heating mats around plants based on soil temperature data and plant species requirements.

7) The system as claimed in claim 1, wherein a plurality of solar panels 116 mounted on roof top of said enclosure 102 via tilting assembly, configured to automatically adjust angle of the solar panels 116 to capture maximum sunlight based on real-time weather data and sun's position, as detected by a sun sensor 117 integrated on said enclosure 102.

8) The system as claimed in claim 1, wherein a plurality of LED (Light Emitting Diodes) lights 118 are mounted on ceiling of said enclosure 102, with intensity and activation of said lights 118 being dynamically adjusted based on light intensity requirements of specific plant species.