Description:FIELD OF THE INVENTION
This invention relates to Vision Enabled Architecture for auto Irrigation in Mountain Regions.
BACKGROUND OF THE INVENTION
The water is an important issue for today's arena. This issue is particularly significant in hilly areas, as farmers are considerably concerned about availability of water for farming. Climate change is exacerbating as these dry overland conditions center around the worst affected regions of rural farmers who find it more difficult than ever to water their crops. As a result, lots of farmers have to migrate elsewhere in search of stable work. Problems like this could be aided by the camera's artificial intelligence (AI), which can provide irrigation systems with sound advice. This can help increase water use, even in the driest regions of our planet; leading to sustainable agriculture and farming methods thanks to technology. Decided by the AI having specific parameters, which show how much water is needed for each crop. This requires no human intervention and provides consistent watering. The software analyzes multiple data points crop needs, soil type and weather for highly specific irrigation recommendations. For the farmers in hilly regions, this camera is beneficial due to AI integration. It disencumbers farmers from the initial manual work of irrigation in the first place, freeing time and energy for other farming chores. Secondly, it is water efficient by minimizing waste and protecting valuable resources from depleting, ensuring that crops get exactly what they need. In addition, the AI system can respond to weather changes promptly and change irrigation accordingly. The weather forecast can predict the water demand which is worth irrigating by analyzing historical data; this ensures that, even when there is a drought or water scarcity, crops will get enough water to thrive.
US10548268 A soil moisture auto control system which can be used in subsurface irrigation, outer space agricultural farm irrigation, semi-arid and arid agricultural areas irrigation and nutrients addition, as well as auto watering and nutrients addition devices for flower and/or vegetable pots in indoor planting, by an external negative pressure design system responding to soil moisture needs by plants in the agricultural areas by bi-directional flows arrangements to automatically adjust moisture needs for plants.
RESEARCH GAP: Focus: The patent number US10548268 focuses on the technical aspects of a soil moisture auto control system designed for diverse environments and applications. It emphasizes automation and precision in irrigation and nutrient delivery.
Application and Scope: In contrast, our work describe the integration of AI technology specifically for sustainable water management in mountainous regions. It addresses the challenges unique to these areas, such as water scarcity and climate variability, using AI to optimize irrigation practices.
Technological Approach: While both involve advanced technology (automation and AI), they apply it differently: one through a hardware-driven control system for irrigation and nutrient management, and the other through AI-driven decision-making to enhance water efficiency and sustainability in challenging geographical settings.
US20110173884 An auto-irrigation apparatus is provided. A control panel and a water-level indicator light are inserted in the side of an irrigating case. A water pump, a cell box, and a control circuit are inserted in the irrigating case. The control panel, water-level indicator light, cell box, and water pump are coupled to the control circuit. A solar panel is embedded in each of two cover panels. Each of the two cover panels are mounted on opposite sides of the irrigating case. The embedded solar panels are coupled to the cell box. A water conduit adapter is connected to an outlet of the water pump. A planter box is placed in the irrigating case above a built-in water reservoir so that the water conduit adapter passes through an aperture in the planter box. Then, the water conduit adapter is connected to a spray pipe positioned above the planter box.
RESEARCH GAP: Technology Integration: The patent number patent number US20110173884 describes a straightforward, automated irrigation apparatus utilizing basic electronic and mechanical components (control panel, water pump, solar panels). In contrast, our work emphasizes the integration of AI to optimize irrigation decisions based on complex data analysis and machine learning algorithms.
Scale and Application: The patent number US20110173884 seems suitable for smaller-scale irrigation needs (e.g., gardens, small farms), whereas our work addresses larger agricultural challenges in mountainous regions, focusing on sustainability and water conservation on a broader scale.
Automation Level: The patent number US20110173884 describes the basic irrigation functions (water pumping and distribution), while our work introduces advanced automation through AI, which can dynamically adjust irrigation schedules based on real-time and predictive data.
Purpose: The patent number US20110173884 primarily describes a physical device and its components, whereas our work advocates for a technological solution to address socio-environmental challenges (water scarcity, climate change impacts) in agriculture.
IN201911027611 The present invention relates to a smart water-irrigation system that predicts the quality / fertility of the soil and accordingly can be utilized for agricultural irrigation. The invention consists of a soil fertility meter, a solar-panel, battery, motor, and a smart processing unit (mini-processor) to perform all the calculations. All the inputs are given by the user through a smart device or manually and accordingly the system works. For the protection of agricultural seeds during the sowing period, small sirens is inserted in to the field to keep the birds away from the agricultural fields.
RESEARCH GAP:
? The patent number IN201911027611 is focused on a specific invention—a smart irrigation system with soil fertility monitoring and bird deterrent features.
? But our work discusses the broader application of AI technology in agriculture, particularly in water-scarce mountainous regions, aiming to optimize irrigation through real-time data analysis and automation.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Vision Enabled Architecture for auto Irrigation in Mountain Regions.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
The vision-enabled auto irrigation system for mountainous regions comprises a camera module configured to capture real-time images of crops. A computing unit integrated with a neural compute stick processes these images using artificial intelligence to assess crop health and irrigation needs. The system further includes a cloud server that securely stores and analyzes the image data to determine precise irrigation requirements. A communication module transmits the analyzed data to a user’s mobile application, Agri App, which serves as an interface for real-time monitoring, notifications, and manual control. The irrigation process is automated through a motor-controlled sprinkler system, which activates based on AI-determined irrigation needs. To ensure continuous operation in remote locations, the system is powered by solar energy with a battery backup, efficiently managed by a power management unit.
The camera module, referred to as "Agri Eyes," is mounted on a perpendicular arrangement to capture high-resolution images of crops. These images are analyzed using machine learning algorithms to evaluate crop maturity, detect water scarcity, and optimize the irrigation schedule. The cloud server plays a crucial role in storing and processing this data while providing a secure infrastructure for real-time monitoring. It also sends alerts and insights to users through the Agri App, enabling them to make informed decisions regarding their crops.
The Agri App acts as the primary interface for farmers, providing them with notifications, analyzed images, and the ability to manually control irrigation settings if necessary. The irrigation system is further enhanced by a motor driver that regulates the sprinkler’s movement, ensuring even water distribution across the agricultural field based on AI-generated insights. Additionally, an ultrasonic sensor continuously monitors the water level in the storage tank and triggers an alert if the level drops below a predefined threshold, thereby preventing water shortages.
The system's sustainability is ensured through a solar panel that generates and stores energy in a battery. A power management unit optimizes energy distribution to various components, maximizing the system’s efficiency and longevity. A display panel provides real-time updates on critical parameters such as crop health, water levels, battery life, and irrigation schedules, allowing users to monitor and override automatic irrigation if needed. The AI-powered irrigation system ultimately optimizes water usage, minimizes resource wastage, and enhances crop yield while reducing labor dependency for farmers in mountainous regions.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In mountainous regions and rural areas, efficient irrigation is crucial for maintaining agricultural productivity and ensuring food security. However, manual irrigation methods are often time-consuming and labor-intensive, especially for farmers living in remote areas. Therefore, there is a need to develop an automatic irrigation system that can overcome these challenges. This system must be simple to set up and keep up, and it ought to be able to automate irrigation with little assistance from humans. It should also be able to distribute the appropriate amount of water at the appropriate time and be economical and energy-efficient.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: AGRI EYE 1-N
FIGURE 2: ARCHITECTURE OF AGRI EYE 1-N
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In mountainous regions and rural areas, efficient irrigation is crucial for maintaining agricultural productivity and ensuring food security. However, manual irrigation methods are often time-consuming and labor-intensive, especially for farmers living in remote areas. Therefore, there is a need to develop an automatic irrigation system that can overcome these challenges. This system must be simple to set up and keep up, and it ought to be able to automate irrigation with little assistance from humans. It should also be able to distribute the appropriate amount of water at the appropriate time and be economical and energy-efficient.
The camera or Agri Eyes device watches over the harvesting process. The sophisticated sensors and optics of this device will also make it photo ready for the harvest, with high-quality images and videos. Agri Eyes has been mounted on the perpendicular arrangements to take clean photographs of plants. After it is set up, the Agri Eyes device takes photographs of the harvest non-stop. Then, top of the line algorithms analyze these pictures to gather data. A few steps in the analysis process could be determining the health of the crop, looking for anomalies, evaluating crop maturity, and calculating yield. The photos are taken and then sent to a secure cloud server for analysis. The data that the Agri Eyes device collects is managed and stored centrally via the cloud server. In addition, it offers a strong infrastructure for real-time image and data transmission. The information is received from the cloud server by the Agri App, which is placed on the users' registered mobile numbers. The platform for viewing and evaluating the photos and data that have been taken is provided by the Agri App. It gives users notifications, insights, and real-time updates about the harvesting process. We examine these photos to find any indications of water scarcity or irrigation requirements. When the AI system detects that the harvest needs irrigation, it will start the appropriate processes.
Our auto irrigation system utilizes advanced algorithms to analyze the images captured from cameras. The auto irrigation system utilizes a network of sensors, valves, and sprinkler to irrigate the land automatically. Once the AI system has detected the required irrigation, it will activate the system to start the irrigation process.
The presented irrigation system offers several advantages for farmers. One significant benefit is that the farmer no longer needs to take the burden of irrigation on their land. The system is equipped with an automatic feature, which locates and irrigates the land without any manual intervention from the farmer. However, if desired, the farmer can also manually irrigate their land using the system's manual mode. The farmer can select their preferred method based on their preferences and conditions thanks to this flexibility. All things considered, this irrigation system saves the farmer time and labor by streamlining the irrigation procedure.
Agriculture is a vital component of local populations' subsistence in hilly areas. For farmers, however, the difficult terrain and restricted resource availability present serious difficulties. The current system aims to ensure the effective functioning of agricultural operations while addressing the challenges faced by farmers in hilly regions through the application of state-of-the-art techniques. One of the primary objectives of the existing system is to keep farmers from abandoning hilly areas. Inadequate employment opportunities and social networks are two main reasons for migrating. It is encouraged for farmers to stay in rural areas and contribute to the local economy by implementing various programs like effective crop diversification and training. Harvesting agricultural products in hilly areas can be challenging due to the uneven terrain and steep slopes. The current approach makes use of cutting-edge techniques to shield the crop from harm throughout growing and the post-harvest procedures. The use of terraced farming techniques helps to stabilize the soil and minimize erosion, thereby safeguarding the crops. Additionally, the construction of sturdy storage facilities ensures the preservation of the harvest, minimizing losses and guaranteeing a steady supply of agricultural products.
The diagram titled "Figure 1: Agri Eye 1-N" depicts a system for agricultural monitoring and management. Below is a description of the components and their interactions:
10 Agri Eye Key 1, Key 2 ... Key N: These are the sensors or cameras labeled as "Agri Eye," mounted on structures (indicated as 10). Each Agri Eye device appears to be equipped with wireless communication capabilities.
30 Cloud Server: The Agri Eye devices send data, presumably images, to a central Cloud Server. This server likely handles the processing and storage of the data received from the Agri Eye devices.
60 Agri App: A mobile application named "Agri App" interacts with the Cloud Server. The diagram shows that the Cloud Server sends information to the Agri App.
The functionalities of the system are as follows:
? Image Analysis by AI: The images captured by the Agri Eye devices are analyzed using Image Analysis by AI: The images captured by the Agri Eye devices are analyzed using artificial intelligence.
? User Image Notification: Images are sent to users based on their registered number.
? Problem and Solution Information: The system send user information about problems and possible solutions, which is detected by sensor.
Figure 2, number 11 of the diagram describes the computing unit as the central brain of the system, coordinating the functions of all other components. It processes data from the camera, runs algorithms on the Neural Compute Stick, and sends commands to the motor driver and other peripherals. The computing unit ensures that the system operates seamlessly, making decisions based on real-time data. It also manages user inputs from the keyboard and mouse, facilitating manual control when needed. This unit is essential for integrating all system components and ensuring smooth operation.
Figure 2, number 12 of the diagram describes, the battery provides the necessary power to keep the system running continuously, even during periods of low sunlight. It stores energy harvested by the solar panel, ensuring a consistent power supply. A well-maintained battery is crucial for the system's reliability, especially in remote or off-grid locations. The battery's capacity determines how long the system can operate without additional energy input. This component ensures the system's autonomy and uninterrupted operation.
Figure 2, number 13 of the diagram describes, the power management unit regulates the flow of energy from the solar panel to the battery and other components. It ensures efficient energy usage, preventing overcharging or deep discharging of the battery. This unit plays a critical role in maximizing the lifespan of the battery and maintaining the overall efficiency of the system. It also distributes power to the computing unit, motor driver, and other peripherals as needed. Effective power management is key to the system's sustainability and performance.
Figure 2, number 14 of the diagram describes, the solar panel harvests solar energy to power the system and charge the battery. It produces electrical energy from sunshine, making it a sustainable and renewable power source. The device is perfect for distant agricultural regions because the solar panel makes sure it can run without external power sources. How much energy is accessible to the system depends on its efficiency, which affects how well it functions as a whole. The system's cost-effectiveness and environmental sustainability depend heavily on this component.
The motor driver regulates the motor's activity by converting commands from the computing unit into tangible actions, as shown in Figure 2, number 15 of the schematic. It controls the power, direction, and speed of the motor to provide exact control over the sprinkler's movements. In order to maintain effective and efficient irrigation, the motor driver is essential in controlling the motor's performance. It ensures accurate execution of the system's instructions by acting as a conduit between the motor and the computer. This component is necessary for the system's accuracy and dependability.
The sprinkler is driven by a motor in Figure 2, number 16 of the design, which allows the sprinkler to move and distribute water evenly around the field. It is managed by the motor driver, which receives instructions from the computing unit. To ensure even water distribution, the motor's direction and speed can be adjusted. For the sprinkler system to run smoothly and avoid over- or underwatering, a dependable motor is essential. This part makes sure that there is the physical movement required for focused irrigation.
Water is distributed over the agricultural field via the sprinkler system, as shown in Figure 2, number 17 of the figure. Based on the information and instructions from the computing unit, it makes sure the crops get enough water. The amount of water provided by the sprinkler can be altered based on the unique requirements of various areas of the field. This irrigation accuracy guarantees ideal crop development while also assisting in water conservation. A sprinkler is a necessary part of an automated watering system.
The display panel serves as a user interface for the system, providing real-time data, alarms, and system status, as shown in Figure 2, number 18 of the schematic. It enables farmers to keep an eye on the system's functioning and manually alter it as needed. Numerous indicators, including soil moisture content, camera feed, battery life, and irrigation schedules, may be seen on the screen. A visual interface makes it easier for users to comprehend how the system works and to address any problems quickly. It serves as a link between the automated system and the user, making control and monitoring simple.
The Intel Movidius Neural Compute Stick, shown in Figure 2, number 19, of the schematic, offers the computational capacity required to execute intricate neural network algorithms. Because of its edge computing design, this GPU can process data in real time without requiring a connection to a cloud server. It uses algorithms to process the camera's acquired photos and finds patterns, abnormalities, and other pertinent data. The Neural Compute Stick ensures faster and more effective data processing by taking these chores off the primary CPU. This part is essential to the system's capacity to decide quickly and precisely using visual data.
The camera records live video or still photographs of the agricultural field, as shown in Figure 2 of the schematic at number 20. These images are essential for keeping an eye on crop health, spotting pest infestations, and determining how much water is distributed. The computing unit can use the camera's data analysis to make well-informed decisions about irrigation and other agricultural tasks. Detailed images can be captured by high-resolution cameras, which facilitates the identification of particular problems at the plant level. The initial phase in the system's decision-making process is the data from the camera.
The user can enter commands and data into the system via the keyboard, as shown in Figure 2 and number 21 of the schematic. It offers a way to manually adjust and configure the system's settings. Using the keyboard, users may change system parameters, enter customized watering schedules, and react to alerts. This input device makes control easy and accurate, which is why it is crucial for user engagement. It improves the usefulness and flexibility of the system.
The mouse offers a user-friendly interface for interacting with the graphical user interface of the system on the display screen, as seen in Figure 2, number 22 of the schematic. It makes it simple for users to choose alternatives, traverse menus, and enter commands. The mouse enhances the keyboard and facilitates system configuration and control. It is especially helpful for jobs that call for exact control and selection. This component enhances the user experience and operational efficiency.
Figure 2, number 23 of the diagram describes, the water tank stores water that is used by the sprinkler system for irrigation. It ensures that there is an adequate supply of water available for the system to operate effectively. The tank's capacity determines how much water can be stored and used for irrigation, impacting the system's autonomy. A well-maintained water tank is crucial for consistent and reliable irrigation. This component is essential for managing water resources efficiently.
Figure 2, number 24 of the diagram describes, An ultrasonic sensor measures water levels in a tank by sending sound waves and calculating the return time from the water surface. Mounted at the tank's top, it provides non-contact and precise level readings. The sensor data is processed by a microcontroller, enabling real-time monitoring. This method ensures accurate and continuous water level detection. It's a cost-efficient solution suitable for automated water management systems.
Algorithm –
Step 1: Initialize all components.
Step 2: Generate and store power using solar panels.
Step 3: Power up the computing unit and connect the GPU.
Step 4: Measure water level using ultrasonic sensor.
Step 5: Capture field images using camera.
Step 6: Process data using a computing unit and GPU.
Step 7: Display data on the display screen.
Step 8: If water level < threshold:
Trigger refill alert.
Step 9: Analyze images for crop health and watering needs.
Step 10: If watering needed:
Activate motor driver to start motor.
Motor controls the sprinkler to water crops.
Step 11: Allow user inputs via keyboard and mouse.
Step 12: Continue watering until the time limit is reached.
Step 13: Monitor water levels and system health continuously.
Step 14: Stop the motor after watering.
Step 15: Return to monitoring state.
Step 16: Repeat from step 4.
ADVANTAGES –
? Collects and stores rainwater to ensure a consistent water supply even during dry periods.
? Provide storage for harvested rainwater, reducing dependency on external water sources.
? Activate based on image assessments, ensuring crops receive the right amount of water at the right time.
? Reduces water wastage by delivering water directly to the crops as needed.
? Power the entire system by solar panel, ensuring sustainability and operation in remote areas without a reliable power grid.
? Reduces carbon footprint and reliance on non-renewable energy sources.
? Minimizes water wastage by optimizing irrigation schedules based on real-time data.
? Promotes the conservation of water resources in water-scarce regions.
? Decreases the need for manual labor in watering crops, allowing farmers to focus on other essential tasks.
? Farmers can invest more time in crop management and other productive activities.
? Leads to better crop health and potentially higher agricultural yields.
? Ensures crops receive consistent and adequate hydration, enhancing growth and productivity.
? Alleviates water scarcity issues, reducing the need for farmers to migrate in search of better opportunities.
? Encourages farmers to remain in their home regions, preserving the agricultural community and economy.
? · Reduces the high cost of running it over time by utilizing renewable energy and water saving techniques.
? Encourages the preservation of the environment by utilizing renewable resources and sustainable practices.

? Provides a strong strategy for water resource management in the context of climate change.
, Claims:1. A vision-enabled auto irrigation system for mountainous regions, comprising:
A camera module configured to capture real-time images of crops;
A computing unit integrated with a neural compute stick for processing the captured images using artificial intelligence;
A cloud server configured to store and analyze image data, determining irrigation requirements;
A communication module for transmitting analyzed data to a user’s mobile application (Agri App);
A motor-controlled sprinkler system activated based on the AI-determined irrigation needs; and
A solar power supply with a battery backup to ensure continuous operation in remote locations.
The system as claimed in claim 1, wherein the camera module, referred to as "Agri Eyes," is mounted on a perpendicular arrangement to capture high-resolution images of crops and analyze growth patterns, anomalies, and hydration levels.
2. The system as claimed in claim 2, wherein the computing unit utilizes machine learning algorithms to evaluate crop maturity, detect water scarcity, and determine the optimal irrigation schedule based on real-time image data.
3. The system as claimed in claim 3, wherein the cloud server processes and stores image data, providing a secure infrastructure for real-time monitoring and analysis, and sending alerts via the Agri App to registered users.
4. The system as claimed in claim 4, wherein the Agri App serves as an interface for users to receive notifications, view analyzed images, and manually control irrigation through a user-friendly interface.
5. The system as claimed in claim 5, wherein the irrigation process is controlled by a motor driver that regulates the sprinkler’s movement, ensuring even water distribution based on AI-generated insights.
6. The system as claimed in claim 6, wherein an ultrasonic sensor continuously monitors the water level in a storage tank and triggers an alert if the water level falls below a predefined threshold.
7. The system as claimed in claim 7, wherein a solar panel generates and stores energy in a battery, with a power management unit optimizing energy distribution to various system components.
8. The system as claimed in claim 8, wherein the display panel provides real-time updates on system status, including crop health, water levels, battery life, and irrigation schedules, enabling users to manually override automatic irrigation if needed.
9. The system as claimed in claim 9, wherein the AI-powered irrigation system optimizes water usage, minimizes resource wastage, and enhances crop yield while reducing labor dependency for farmers in mountainous regions.