Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a robotic system and particularly to an autonomous robotic machine for site-specific crop management in an agricultural field.
Description of Related Art
[002] Traditional crop management involves separate activities for weed removal, nutrient application, and plant protection. Farmers rely on manual labor or human-operated machines for each task. This approach creates inefficiency, dependence on a large workforce, and higher operational costs. Lack of integration across different agricultural tasks results in uneven outcomes and reduced productivity.
[003] Current solutions include manual sprayers, autonomous weeders, and drone-based nutrient monitors. These options demonstrate some level of automation but remain restricted to single-purpose functions. Commercial practices rely on combining different tools and machines, each designed for a specific activity. Farmers often use them sequentially to cover the complete set of crop management operations.
[004] However, these solutions carry significant shortcomings. They demand human oversight for operation and coordination, and they fail to provide intelligent, site-specific decisions. Single-purpose devices do not support integration of weed control, nutrient delivery, and plant protection in a unified manner.
[005] There is thus a need for an improved and advanced autonomous robotic machine for site-specific crop management in an agricultural field that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide an autonomous robotic machine for site-specific crop management in an agricultural field. The autonomous robotic machine comprising a detection unit adapted to identify weeds in the agricultural field. The autonomous robotic machine further comprising an elimination unit adapted to remove the identified weeds in the agricultural field. The autonomous robotic machine further comprising a sensing unit adapted to detect nutrient deficiency in plants. The autonomous robotic machine further comprising a nutrient delivery unit adapted to provide site-specific fertilizers based on detected nutrient deficiency. The nutrient delivery unit utilizes micro-dosing of fertilizers tailored to the requirement of each of the plants. The autonomous robotic machine further comprising an image analysis unit adapted to recognize symptoms of disease or pest infestation in the plants. The autonomous robotic machine further comprising a plant protection unit adapted to apply chemical treatments at affected sites on the plants. The autonomous robotic machine further comprising a navigation unit adapted to enable autonomous movement of the autonomous robotic machine in the field. The autonomous robotic machine further comprising a control unit. The control unit is configured to activate the detection unit to identify the weeds; deploy an artificial intelligence model to extrapolate characteristics of the identified weeds; and generate a data packet. The data packet comprises operational parameters of the elimination unit; and activate the elimination unit, following the operational parameters in the generated data packet, to remove the identified weeds in the agricultural field.
[007] Embodiments in accordance with the present invention further provide a method for site-specific crop management in an agricultural field using an autonomous robotic machine. The method comprising steps of activating a detection unit to identify weeds; deploying an artificial intelligence model to extrapolate characteristics of the identified weeds; generating a data packet. The data packet comprise operational parameters of an elimination unit; and activating the elimination unit, following the operational parameters in the generated data packet, to remove the identified weeds in the agricultural field.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide an autonomous robotic machine for site-specific crop management in an agricultural field.
[009] Next, embodiments of the present application may provide an autonomous robotic machine that combines weed removal, nutrient application, and plant protection into a single system.
[0010] Next, embodiments of the present application may provide an autonomous robotic machine that applies inputs only where required, based on computer-driven decisions.
[0011] Next, embodiments of the present application may provide an autonomous robotic machine that eliminates a requirement of continuous human involvement.
[0012] Next, embodiments of the present application may provide an autonomous robotic machine that improves plant health and productivity while minimizing environmental impact through optimized use of resources.
[0013] Next, embodiments of the present application may provide an autonomous robotic machine that operates in different field conditions and with various crop types.
[0014] These and other advantages will be apparent from the present application of the embodiments described herein.
[0015] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0017] FIG. 1A illustrates a block diagram of an autonomous robotic machine, according to an embodiment of the present invention;
[0018] FIG. 1B illustrates the autonomous robotic machine, according to an embodiment of the present invention;
[0019] FIG. 2 illustrates a connectivity diagram of the autonomous robotic machine, according to an embodiment of the present invention; and
[0020] FIG. 3 depicts a flowchart of a method for site-specific crop management in an agricultural field using an autonomous robotic machine, according to an embodiment of the present invention.
[0021] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0022] 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 scope of the invention as defined in the claims.
[0023] 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.
[0024] 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.
[0025] FIG. 1A illustrates a block diagram of an autonomous robotic machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the autonomous robotic machine 100 may be adapted to operate in agricultural conditions with full autonomy and may execute multiple operations in a coordinated manner. The autonomous robotic machine 100 may rely on artificial intelligence for making real-time site-specific decisions so that inputs are applied only where required. The autonomous robotic machine 100 may function through a systematic cycle that begins with identifying the field condition, followed by analyzing plant health parameters, and then applying precise remedial actions. The operation may be continuous without the need for human intervention, and the autonomous robotic machine 100 may adapt itself according to different crop types and varying field conditions.
[0026] The overall working of the autonomous robotic machine 100 may ensure that the agricultural field receives timely weed removal, nutrient delivery, and plant protection, all integrated into a single cycle of operations. The arrangement may thereby reduce dependency on manual labor, minimize wastage of agricultural inputs, and sustainably improve productivity.
[0027] According to the embodiments of the present invention, the autonomous robotic machine 100 may incorporate non-limiting hardware components to enhance a processing speed and an efficiency such as the autonomous robotic machine 100 may comprise a detection unit 102, an elimination unit 104, a sensing unit 106, a nutrient delivery unit 108, an image analysis unit 110, a plant protection unit 112, a navigation unit 114, a control unit 116, a power supply unit 118, and a communication interface 120. In an embodiment of the present invention, the hardware components of the autonomous robotic machine 100 may be integrated with computer-executable instructions for overcoming the challenges and the limitations of the existing autonomous robotic machines.
[0028] In an embodiment of the present invention, the detection unit 102 may be adapted to identify weeds in the agricultural field. The detection unit 102 may incorporate multispectral sensors, Red-Green-Blue (RGB) sensors, depth sensors, and so forth that may continuously capture field imagery as the autonomous robotic machine 100 traverses the agricultural field. The data acquired by the detection unit 102 may be processed by an artificial intelligence model trained on large datasets of crop and weed images, allowing the detection unit 102 to differentiate between desirable crops and unwanted weed species. The detection unit 102 may be further enabled with adaptive thresholding and image segmentation techniques to ensure weed identification even under variable lighting conditions, soil textures, and crop densities. The detection unit 102 may thereby enable precise location mapping of weeds, that may be transmitted to the elimination unit 104 for elimination.
[0029] In an embodiment of the present invention, the elimination unit 104 may be adapted to remove the identified weeds in the agricultural field. The elimination unit 104 may comprise a robotic arm 122 (as shown in the FIG. 1B) integrated with mechanical implements such as rotary blades, grippers, or pulling tools, capable of physically extracting or severing weeds. The elimination unit 104 may further comprise precision spraying nozzles that may deliver herbicides directly on the weed surface in site-specific quantities. A combination of mechanical and chemical means may be employed to optimize weed removal efficiency while reducing herbicide usage. The elimination unit 104 may include force sensors and position encoders to ensure precise alignment of tools with weed coordinates as determined by the detection unit 102. The elimination unit 104 may thereby ensure targeted elimination without damaging surrounding crops.
[0030] In an embodiment of the present invention, the sensing unit 106 may be adapted to detect nutrient deficiency in plants. The sensing unit 106 may integrate multispectral sensors, soil moisture probes, and electrochemical nutrient sensors to measure parameters such as chlorophyll content, nitrogen levels, soil pH, and so forth. The sensing unit 106 may acquire reflectance signatures from plant leaves and compare them against predefined spectral libraries to determine nutrient status. The sensing unit 106 may further measure soil conductivity and temperature to correlate nutrient availability with soil conditions. The readings from the sensing unit 106 may be continuously transmitted to the control unit 116, that may interpret the data using the artificial intelligence model to anticipate nutrient deficiencies before visible symptoms occur. The sensing unit 106 may enable precision agriculture through early detection of plant health issues.
[0031] In an embodiment of the present invention, the nutrient delivery unit 108 may be adapted to provide site-specific fertilizers based on detected nutrient deficiency. The nutrient delivery unit 108 may utilize micro-dosing of fertilizers tailored to the requirement of each of the plants. The nutrient delivery unit 108 may incorporate micro-dosing nozzles, variable-rate pumps, and precision tubing arrangements that may deliver the fertilizers directly to a root zone of affected plants. The nutrient delivery unit 108 may operate in synchronization with location coordinates generated by the sensing unit 106, ensuring that only deficient plants receive nutrients. The nutrient delivery unit 108 may regulate dosage based on plant size, growth stage, and soil nutrient content. Advanced metering systems integrated in the nutrient delivery unit 108 may allow precise control of liquid or granular fertilizers, thereby minimizing wastage and environmental runoff. The nutrient delivery unit 108 may be adapted to switch between different nutrient formulations stored in multiple reservoirs, depending on crop-specific requirements.
[0032] In an embodiment of the present invention, the image analysis unit 110 may be adapted to recognize symptoms of disease or pest infestation in the plants. The image analysis unit 110 may process high-resolution images captured by onboard cameras using convolutional neural networks and machine learning classifiers trained on datasets of plant diseases and pest damage. The image analysis unit 110 may detect anomalies such as leaf discoloration, lesions, or insect presence, and assign a probability score to each detected condition. The image analysis unit 110 may further utilize temporal analysis, comparing current images with historical data, to identify progressive patterns of infection. The image analysis unit 110 may generate digital disease maps of the agricultural field and forward the processed information to the plant protection unit 112.
[0033] In an embodiment of the present invention, the plant protection unit 112 may be adapted to apply chemical treatments at affected sites on the plants. The plant protection unit 112 may comprise precision sprayers capable of adjusting droplet size, flow rate, and spray angle to target diseased plant areas while avoiding excess application. The plant protection unit 112 may operate with real-time feedback from the image analysis unit 110, ensuring that chemical application is confined to diseased leaves or stems. In addition to chemical spraying, the plant protection unit 112 may be adapted to apply biological agents or organic pesticides stored in separate compartments, offering versatility for different agricultural practices. The plant protection unit 112 may thus reduce chemical consumption, minimize crop exposure to unnecessary treatments, and enhance a sustainability of plant health management.
[0034] In an embodiment of the present invention, the navigation unit 114 may be adapted to enable autonomous movement of the autonomous robotic machine 100 in the agricultural field. The navigation unit 114 may be adapted to maneuver the autonomous robotic machine 100 in an approachable periphery of the identified weeds. The navigation unit 114 may comprise a global positioning system, obstacle detection sensors, multispectral sensors, multispectral mapping sensors, Light Detection and Ranging (LiDAR), ultrasonic proximity sensors, and so forth that may collectively provide three-dimensional situational awareness. The navigation unit 114 may be enabled with simultaneous localization and mapping (SLAM) algorithms that may allow the autonomous robotic machine 100 to navigate uneven terrain, avoid obstacles such as stones or irrigation channels, and optimize path planning for efficient coverage of the agricultural field. The navigation unit 114 may further enable adaptive movement patterns based on crop row geometry and planting density, thereby ensuring full field coverage without human assistance.
[0035] In an embodiment of the present invention, the control unit 116 may be configured to serve as the central processing and coordination module of the autonomous robotic machine 100. The control unit 116 may be configured to integrate data streams from the detection unit 102, sensing unit 106, and image analysis unit 110, and process them through artificial intelligence models. Based on this analysis, the control unit 116 may be configured to generate operational parameters and transmit them to the elimination unit 104, nutrient delivery unit 108, and plant protection unit 112. The control unit 116 may be configured to continuously update navigation commands to the navigation unit 114, ensuring seamless operation across multiple functions. The control unit 116 may be implemented using high-performance processors capable of executing deep learning inference in real time, thereby enabling the autonomous robotic machine 100 to function without network connectivity.
[0036] In an embodiment of the present invention, the control unit 116 may be configured to activate the detection unit 102 to identify the weeds. In an embodiment of the present invention, the control unit 116 may be configured to deploy an artificial intelligence model to extrapolate characteristics of the identified weeds. In an embodiment of the present invention, the control unit 116 may be configured to generate a data packet. The data packet comprises operational parameters of the elimination unit 104. In an embodiment of the present invention, the control unit 116 may be configured to activate the elimination unit 104, following the operational parameters in the generated data packet, to remove the identified weeds in the agricultural field.
[0037] In an embodiment of the present invention, the control unit 116 may be configured to activate the sensing unit 106 to the detect nutrient deficiency and activate the nutrient delivery unit 108 to provide site-specific fertilizers based on the detected nutrient deficiency. In an embodiment of the present invention, the control unit 116 may be configured to activate the image analysis unit 110 to recognize symptoms of the disease or the pest infestation and activate the plant protection unit 112 to apply the chemical treatments at the affected sites on the plants. In an embodiment of the present invention, the control unit 116 may be configured to deploy the artificial intelligence model to extrapolate the symptoms of the disease or the pest infestation in the plants. In an embodiment of the present invention, the control unit 116 may be configured to store operation logs and transmit summaries via the communication interface 120 for external monitoring.
[0038] In an embodiment of the present invention, the power supply unit 118 may be adapted to supply operational power to the control unit 116 and all peripheral units of the autonomous robotic machine 100. The power supply unit 118 may comprise rechargeable battery packs, solar photovoltaic modules, or hybrid energy systems capable of delivering sustained power for extended field operation. The power supply unit 118 may further incorporate power management circuits that may regulate voltage and current for sensitive electronic components, while enabling high-load delivery for motors and actuators. The power supply unit 118 may be equipped with smart charging functionality that may allow the autonomous robotic machine 100 to recharge itself during idle cycles using renewable energy sources, thereby enhancing operational independence. The power supply unit 118 may comprise a battery pack, a solar based energy generation, and so forth.
[0039] In an embodiment of the present invention, the communication interface 120 may be adapted to transmit a real-time operational status of the autonomous robotic machine 100 to a computing unit 200 (As shown in FIG. 2). The communication interface 120 may support wireless protocols such as a Wireless Fidelity (Wi-Fi), a cellular, a low-power wide-area network, and so forth, enabling remote monitoring of field operations. The communication interface 120 may further allow bidirectional communication, whereby updated instructions, software patches, or operational parameters may be uploaded to the autonomous robotic machine 100 from an external command center. The communication interface 120 may thereby enable seamless integration of the autonomous robotic machine 100 with farm management platforms, ensuring transparency, traceability, and scalability of agricultural operations.
[0040] FIG. 1B illustrates the autonomous robotic machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the autonomous robotic machine 100 may incorporate mobility elements governed by the navigation unit 114, allowing movement across varied terrains with obstacle avoidance and path optimization.
[0041] The detection unit 102 may be adapted to identify the weeds in the agricultural field using imaging and artificial intelligence classification. The elimination unit 104 may be adapted to remove the identified weeds through mechanical tools, precision herbicide spraying, and so forth. The sensing unit 106 may be adapted to detect the nutrient deficiency in the plants using soil and plant health measurements. The nutrient delivery unit 108 may be adapted to provide micro-dosed fertilizers directly to the plants based on detected requirements.
[0042] In an embodiment of the present invention, the image analysis unit 110 may be adapted to recognize disease or pest symptoms in plants through real-time image processing. The plant protection unit 112 may be adapted to apply chemical or biological treatments at affected plant sites with precision. The navigation unit 114 may be adapted to guide an autonomous movement of the autonomous robotic machine 100 with obstacle avoidance. The control unit 116 may be adapted to process data from all functional units and coordinate their operations in real time. The power supply unit 118 may be adapted to deliver sustained energy for continuous operation of the autonomous robotic machine 100. The communication interface 120 may be adapted to transmit operational data of the autonomous robotic machine 100 for remote monitoring and updates.
[0043] In an exemplary scenario, the autonomous robotic machine 100 may be adapted to operate in a rice field. The detection unit 102 may identify weeds such as Echinochloa between rice plants, and the elimination unit 104 may precisely uproot them. The sensing unit 106 may detect nitrogen deficiency in rice leaves, and the nutrient delivery unit 108 may apply targeted urea-based micro-dosing. The image analysis unit 110 may recognize bacterial leaf blight lesions, and the plant protection unit 112 may spray localized bactericide only on infected leaves.
[0044] In another exemplary scenario, the autonomous robotic machine 100 may be adapted for a maize field. The detection unit 102 may locate broadleaf weeds competing with maize, and the elimination unit 104 may remove them without affecting crop rows. The sensing unit 106 may measure low phosphorus levels, and the nutrient delivery unit 108 may deliver phosphorus fertilizer near maize roots. The image analysis unit 110 may identify elongated lesions of maize leaf blight, and the plant protection unit 112 may apply fungicide directly on symptomatic plants.
[0045] In yet another exemplary scenario, the autonomous robotic machine 100 may be adapted for wheat cultivation. The detection unit 102 may map clusters of grassy weeds, and the elimination unit 104 may remove them using mechanical tools. The sensing unit 106 may detect potassium deficiency in wheat plants, and the nutrient delivery unit 108 may micro-dose potash fertilizer. The image analysis unit 110 may identify yellow rust patches on wheat leaves, and the plant protection unit 112 may apply fungicide sprays in the affected zones. In another embodiment of the present invention, the nutrient delivery unit 108 may be operatively connected to a micro-injection system capable of delivering liquid or granular formulations directly into the soil near crop roots. The system may include variable-rate applicators regulated by the sensing unit 106 to ensure precise dosage based on nutrient deficiency levels. The nutrient delivery unit 108 may also comprise multi-compartment reservoirs allowing simultaneous storage of different fertilizers, which may be selectively dispensed according to crop requirements.
[0046] In another embodiment of the present invention, the plant protection unit 112 may include ultra-low-volume (ULV) sprayers configured to release protective chemicals in atomized form for efficient coverage of target leaves. The plant protection unit 112 may further integrate with the image analysis unit 110 to localize spray zones, thereby reducing chemical wastage and environmental contamination. In some implementations, the plant protection unit 112 may also employ biocontrol agents such as beneficial microbes or pheromone-based pest disruptors as alternatives to chemical pesticides.
[0047] In an embodiment of the present invention, the elimination unit 104 may be configured to actuate the robotic arm 122 that may be integrated with mechanical weeding tools, targeted herbicide nozzles, and so forth. The robotic arm 122 may comprise a plurality of joints and degrees of freedom enabling three-dimensional maneuverability within crop rows. The robotic arm 122 may further include interchangeable end-effectors, such as grippers for uprooting weeds, micro-sprayers for applying herbicides, or precision blades for cutting undesired plants. A vision-guided control system may synchronize the movement of the robotic arm 122 with real-time feedback from the detection unit 102 to ensure accurate operation without damaging nearby crops. In certain embodiments, the robotic arm 122 may be retractable or foldable to minimize space during navigation through narrow field paths.
[0048] FIG. 2 illustrates a connectivity diagram of the autonomous robotic machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the computing unit 200 may be adapted to receive continuous operational data from the autonomous robotic machine 100 through the communication interface 120, including task progress, performance metrics, and field condition updates. The computing unit 200 may be adapted to process this data to generate advanced analytics, predictive models, and decision recommendations that may be adapted to transmit back to the autonomous robotic machine 100 through the communication interface 120.
[0049] In an embodiment of the present invention, the computing unit 200 may be adapted to support communication protocols such as Zigbee, Wireless Fidelity (Wi-Fi) infrastructures, cellular networks, and low-power wide-area networks to ensure flexible and reliable connectivity with the autonomous robotic machine 100. The computing unit 200 may be adapted to provide a user-facing dashboard (not shown) or a mobile application (not shown) for farmers and/or users for enabling remote supervision, task scheduling, and system updates. Furthermore, the user-facing dashboard or the mobile application may enable the farmers and/or the user to view, save, share, print, and so forth the advanced analytics, the predictive models, and the decision recommendations, and so forth.
[0050] FIG. 3 depicts a flowchart of a method 300 for site-specific crop management in the agricultural field using the autonomous robotic machine 100, according to an embodiment of the present invention.
[0051] At step 302, the autonomous robotic machine 100 may activate the detection unit 102 to identify the weeds.
[0052] At step 304, the autonomous robotic machine 100 may be navigated in the approachable periphery of the identified weeds.
[0053] At step 306, the autonomous robotic machine 100 may deploy the artificial intelligence model to extrapolate the characteristics of the identified weeds.
[0054] At step 308, the autonomous robotic machine 100 may generate the data packet comprising the operational parameters of the elimination unit 104.
[0055] At step 310, the autonomous robotic machine 100 may activate the elimination unit 104, following the operational parameters in the generated data packet, to remove the identified weeds in the agricultural field.
[0056] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0057] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. An autonomous robotic machine (100) for site-specific crop management in an agricultural field, the autonomous robotic machine (100) comprising:
a detection unit (102) adapted to identify weeds in the agricultural field;
an elimination unit (104) adapted to remove the identified weeds in the agricultural field;
a sensing unit (106) adapted to detect nutrient deficiency in plants;
a nutrient delivery unit (108) adapted to provide site-specific fertilizers based on detected nutrient deficiency, wherein the nutrient delivery unit (108) utilizes micro-dosing of fertilizers tailored to the requirement of each of the plants;
an image analysis unit (110) adapted to recognize symptoms of disease or pest infestation in the plants;
a plant protection unit (112) adapted to apply chemical treatments at affected sites on the plants;
a navigation unit (114) adapted to enable autonomous movement of the autonomous robotic machine (100) in the field; and
a control unit (116), characterized in that the control unit (116) is configured to:
activate the detection unit (102) to identify the weeds;
deploy an artificial intelligence model to extrapolate characteristics of the identified weeds;
generate a data packet, wherein the data packet comprise operational parameters of the elimination unit (104); and
activate the elimination unit (104), following the operational parameters in the generated data packet, to remove the identified weeds in the agricultural field.
2. The autonomous robotic machine (100) as claimed in claim 1, wherein the elimination unit (104) comprises a robotic arm (122) integrated with mechanical weeding tools, targeted herbicide nozzles, or a combination thereof.
3. The autonomous robotic machine (100) as claimed in claim 1, wherein the navigation unit (114) comprises a Global Positioning System (GPS), obstacle detection sensors, multispectral sensors, or a combination thereof.
4. The autonomous robotic machine (100) as claimed in claim 1, wherein the control unit (116) is configured to activate the sensing unit (106) to the detected nutrient deficiency and activate the nutrient delivery unit (108) to provide site-specific fertilizers based on the detected nutrient deficiency.
5. The autonomous robotic machine (100) as claimed in claim 1, wherein the control unit (116) is configured to activate the image analysis unit (110) to recognize symptoms of the disease or the pest infestation and activate the plant protection unit (112) to apply the chemical treatments at the affected sites on the plants.
6. The autonomous robotic machine (100) as claimed in claim 1, wherein the control unit (116) is configured to transmit a real-time operational status of the autonomous robotic machine (100) to a computing unit (200) using a communication interface (120).
7. The autonomous robotic machine (100) as claimed in claim 1, wherein the control unit (116) is configured to deploy the artificial intelligence model to extrapolate the symptoms of the disease or the pest infestation in the plants.
8. The autonomous robotic machine (100) as claimed in claim 1, comprising a power supply unit (118) adapted to supply operational power to the control unit (116).
9. A method (300) for site-specific crop management in an agricultural field using an autonomous robotic machine (100), the method (300) is characterized by steps of:
activating a detection unit (102) to identify weeds;
deploying an artificial intelligence model to extrapolate characteristics of the identified weeds;
generating a data packet, wherein the data packet comprises operational parameters of an elimination unit (104); and
activating the elimination unit (104), following the operational parameters in the generated data packet, to remove the identified weeds in the agricultural field.
10. The method (300) as claimed in claim 9, comprising a step of navigating the autonomous robotic machine (100) in an approachable periphery of the identified weeds.
Date: September 19, 2025
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant