Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to an agricultural tool and particularly to an unmanned autonomous seed broadcasting machine.
Description of Related Art
[002] Agricultural, afforestation, and ecological restoration projects face significant inefficiencies in seed distribution. Manual seed broadcasting requires intensive labor, consumes time, and often results in uneven placement of seeds. Such practices create inconsistent germination rates and poor vegetation growth. Semi-automated machines provide some relief but still lead to high operational costs, wastage of seeds, and dependence on skilled labor. The lack of precision in these methods affects both yield and sustainability.
[003] Existing solutions include tractor-mounted seeders, aerial drones for seed dispersal, and GPS-guided robots. Tractor-mounted seeders allow mechanized coverage but mainly address row-based planting rather than broadcast distribution. Aerial drones provide access to large and difficult terrains, yet they suffer from payload limitations, short battery life, and susceptibility to wind drift. GPS-guided seeding robots enable controlled seed placement but focus on structured agricultural layouts rather than uneven or challenging terrains. Prior arts disclose automated seed dispensing devices, drone-based mechanisms, and GPS-enabled systems, each introducing partial improvements.
[004] Despite these developments, current systems fall short in achieving complete autonomy, real-time adaptability, and cost efficiency. Most require human operators, create unnecessary wastage of seeds, or remain inaccessible for small-scale farmers due to high costs. Their limited adaptability to soil variations and irregular terrains restricts practical use in diverse agricultural or environmental restoration scenarios.
[005] There is thus a need for an improved and advanced unmanned autonomous seed broadcasting machine that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide an unmanned autonomous seed broadcasting machine. The system comprising a self-navigating mobility unit adapted to navigate the machine on a terrain. The system further comprising terrain-mapping sensors adapted to map geographical characteristics of the terrain. The geographical characteristics are selected from soil conditions, presence of obstacles, environmental factors, or a combination thereof. The system further comprising a seed dispensing unit adapted to dispense seeds on the terrain. The system further comprising a control unit. The control unit is configured to receive the mapped geographical characteristics of the terrain from the terrain-mapping sensors; dynamically adjust seed dispensing rates based on the received geographical characteristics of the terrain; dispense the seeds, with the dynamically adjusted seed dispensing rates, using the seed dispensing mechanism; and activate the self-navigating mobility unit for navigating the machine in the terrain, while continually dispensing the seeds from the seed dispensing mechanism.
[007] Embodiments in accordance with the present invention further provide a method for autonomous seed broadcasting using an unmanned autonomous seed broadcasting machine. The method comprising steps of receiving mapped geographical characteristics of a terrain from terrain-mapping sensors; dynamically adjusting seed dispensing rates based on the received geographical characteristics of the terrain; dispensing the seeds, with the dynamically adjusted seed dispensing rates, using a seed dispensing mechanism; activating a self-navigating mobility unit for navigating the machine in the terrain, while continually dispensing the seeds from the seed dispensing mechanism; and returning the machine to a base station.
[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 unmanned autonomous seed broadcasting machine.
[009] Next, embodiments of the present application may provide a seed broadcasting machine that eliminates a need for manual labor or skilled operators, thus reducing human dependency and overall operational cost.
[0010] Next, embodiments of the present application may provide a seed broadcasting machine that ensures uniform seed placement, minimizes wastage, and enhances germination rates by adapting to real-time terrain and environmental conditions.
[0011] Next, embodiments of the present application may provide a seed broadcasting machine that operates efficiently on uneven, sloped, or rough landscapes.
[0012] Next, embodiments of the present application may provide a seed broadcasting machine that ensures continuous operation in remote areas with reduced environmental impact and low running cost.
[0013] Next, embodiments of the present application may provide a seed broadcasting machine that allows real-time tracking, data analytics, and performance reporting, improving accuracy in agricultural planning and ecological restoration.
[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 unmanned autonomous seed broadcasting machine, according to an embodiment of the present invention;
[0018] FIG. 1B illustrates the unmanned autonomous seed broadcasting machine, according to an embodiment of the present invention;
[0019] FIG. 2 illustrates a connectivity diagram of the unmanned autonomous seed broadcasting machine, according to an embodiment of the present invention; and
[0020] FIG. 3 depicts a flowchart of a method for autonomous seed broadcasting using the unmanned autonomous seed broadcasting 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 unmanned autonomous seed broadcasting machine 100 (hereinafter referred to as the machine 100), according to an embodiment of the present invention. In an embodiment of the present invention, the machine 100 may be provided to autonomously perform seed broadcasting operations across agricultural terrains, afforestation sites, and degraded terrains. The machine 100 may be configured to operate without human intervention and may be adapted to function in diverse environments by integrating autonomous navigation, intelligent control, and optimized seed broadcasting strategies.
[0026] The machine 100 may be initialized by defining parameters such as seed type, broadcasting density, and target area. Once initialized, the machine 100 may autonomously commence broadcasting by moving systematically across a terrain. The machine 100 may be adapted to dynamically adjust its broadcasting operations in response to real-time conditions so that seeds are dispersed with uniformity and minimal wastage.
[0027] During operation, the machine 100 may follow optimized movement patterns to maintain systematic terrain coverage while minimizing overlap and avoiding gaps in seed placement. The machine 100 may continuously analyze performance and may regulate its operations to maintain precision. After completion of the broadcasting task, the machine 100 may automatically conclude operations and may generate performance data regarding coverage efficiency, seed distribution quality, and overall operational effectiveness. The machine 100 may therefore deliver a fully autonomous, efficient, and adaptive platform for large-scale seed broadcasting, providing advantages in the terrains where conventional broadcasting methods are insufficient.
[0028] According to the embodiments of the present invention, the machine 100 may incorporate non-limiting hardware components to enhance a processing speed and an efficiency such as the machine 100 may comprise a self-navigating mobility unit 102, terrain-mapping sensors 104, a seed dispensing unit 106, a control unit 108, a communication interface 110, and a hybrid power source 112. In an embodiment of the present invention, the hardware components of the machine 100 may be integrated with computer-executable instructions for overcoming the challenges and the limitations of the existing systems.
[0029] In an embodiment of the present invention, the self-navigating mobility unit 102 may be adapted to navigate the machine 100 on a terrain. The self-navigating mobility unit 102 may comprise a set of wheels adapted to drive and navigate the machine 100 on the terrain. In an embodiment of the present invention, the self-navigating mobility unit 102 may be provided to enable autonomous movement of the machine 100 across diverse terrains. The self-navigating mobility unit 102 may be adapted to follow predefined paths or dynamically generated routes based on real-time inputs. The self-navigating mobility unit 102 may incorporate drive mechanisms, steering assemblies, and adaptive movement strategies so that smooth navigation may be achieved on flat terrains, sloped areas, and rough terrain surfaces. The self-navigating mobility unit 102 may further ensure stable operation during seed broadcasting by maintaining balance, traction, and consistent forward motion. In an embodiment of the present invention, the self-navigating mobility unit 102 may comprise an adjustable suspension system that may enable stable movement across rough, rocky, or sloped terrains. The adjustable suspension system may be adapted to reduce mechanical shocks and maintain uniform seed dispensing during broadcasting operations.
[0030] In an embodiment of the present invention, the self-navigating mobility unit 102 may be adapted to scan and map the terrain using a Global Positioning System (GPS), a Light Detection and Ranging (LiDAR), an artificial intelligence based path planning algorithm, or a combination thereof. The self-navigating mobility system may autonomously prevent overlapping coverage of seed distribution.
[0031] In an embodiment of the present invention, the artificial intelligence based path planning algorithm may be configured in the self-navigating mobility unit 102 of the machine 100 to dynamically generate navigation routes. The artificial intelligence based path planning algorithm may be adapted to analyze input from the terrain-mapping sensors 104 and adjust the route in real time to avoid obstacles and optimize seed coverage. In an embodiment of the present invention, the artificial intelligence based path planning algorithm may be adapted to evaluate terrain complexity and select an optimized trajectory for the machine 100. The artificial intelligence based path planning algorithm may be configured to prioritize smoother surfaces, reduce traversal over steep slopes, and maintain uniform seed broadcasting.
[0032] In an embodiment of the present invention, the artificial intelligence based path planning algorithm may be configured to minimize overlap in the broadcasting coverage area. The artificial intelligence based path planning algorithm may adapt the movement path of the self-navigating mobility unit 102 so that systematic seed distribution may be achieved without redundancy. In an embodiment of the present invention, the artificial intelligence based path planning algorithm may be adapted to reduce energy consumption by computing the most efficient navigation routes for the machine 100. The artificial intelligence based path planning algorithm may minimize unnecessary turns, retracing, or extended detours so that the hybrid power source 112 may be utilized efficiently.
[0033] In an embodiment of the present invention, the artificial intelligence based path planning algorithm may be configured to employ machine learning techniques. The artificial intelligence based path planning algorithm may analyze historical operational data from the control unit 108 and improve navigation accuracy and efficiency during subsequent broadcasting cycles.
[0034] In an embodiment of the present invention, the terrain-mapping sensors 104 may be adapted to map geographical characteristics of the terrain. The geographical characteristics of the terrain may be, but not limited to, soil conditions, presence of obstacles, environmental factors, and so forth. The terrain-mapping sensors 104 may comprise real-time soil moisture sensors to optimize seed placement. The terrain-mapping sensors 104 may be provided to detect and analyze surface conditions during movement of the machine 100. The terrain-mapping sensors 104 may be adapted to collect information regarding obstacles, slopes, and uneven terrain. The terrain-mapping sensors 104 may provide continuous data to the control unit 108 such that that real-time decisions are taken for navigation and broadcasting adjustments. The terrain-mapping sensors 104 may be utilized to ensure safe traversal, minimize collision risks, and enhance precision in seed placement by aligning broadcasting with terrain variations. The terrain-mapping sensors 104 may comprise a terrain adaptability system comprising real-time soil and moisture sensors. The terrain adaptability system may be adapted to determine the optimal seed placement density and regulate seed distribution according to soil conditions and ecological requirements.
[0035] In an embodiment of the present invention, the seed dispensing unit 106 may be adapted to physically release seeds into the environment during operation of the machine 100. In an embodiment of the present invention, the seed dispensing unit 106 may be adapted to dispense the seeds with the dynamically adjust seed dispensing rates for achieving uniform seed distribution. The seed dispensing unit 106 may comprise a centrifugal spreader, a pneumatic dispenser, a gravity-based dispenser, or a combination thereof. The seed dispensing unit 106 may ensure even spread of the seeds over a target area and may operate in synchronization with the self-navigating mobility unit 102 for controlled output.
[0036] In an embodiment of the present invention, the seed dispensing unit 106 may be adapted to regulate the release of seeds from the machine 100. In an embodiment of the present invention, the seed dispensing unit 106 may be adapted to dynamically adjust seed dispensing rates based on soil texture, wind speed, topographical variations, or a combination thereof. The seed dispensing unit 106 may be adapted to vary dispensing density based on pre-programmed crop requirements. Further, the seed dispensing unit 106 may be adapted to optimize seed utilization so that wastage may be minimized and uniform coverage may be achieved. In an embodiment of the present invention, the seed dispensing unit 106 may include a hopper integrated with the seed dispensing unit 106 for seed storage. The hopper may be adapted to hold a predefined quantity of seeds and may work in coordination with the seed dispensing unit 106 to ensure continuous and controlled release of seeds during broadcasting operations.
[0037] In an embodiment of the present invention, the control unit 108 may be provided to govern overall functioning of the machine 100. The control unit 108 may be adapted to process inputs from terrain-mapping sensors 104, regulate actions of the self-navigating mobility unit 102, and synchronize operation of the seed dispensing unit 106 and the seed dispensing unit 106.
[0038] In an embodiment of the present invention, the control unit 108 may be configured to receive the mapped geographical characteristics of the terrain from the terrain-mapping sensors 104. In an embodiment of the present invention, the control unit 108 may be configured to dynamically adjust seed dispensing rates based on the received geographical characteristics of the terrain. In an embodiment of the present invention, the control unit 108 may be configured to dispense the seeds, with the dynamically adjusted seed dispensing rates, using the seed dispensing unit 106. In an embodiment of the present invention, the control unit 108 may be configured to activate the self-navigating mobility unit 102 for navigating the machine 100 in the terrain, while continually dispensing the seeds from the seed dispensing unit 106.
[0039] In an embodiment of the present invention, the control unit 108 may be configured to deploy machine learning algorithms to utilize past operational data to improve efficiency of future seed broadcasting cycle. In an embodiment of the present invention, the control unit 108 of the machine 100 may be configured with machine learning algorithms to analyze operational data from previous seed broadcasting cycles. The machine learning algorithms may be adapted to adjust parameters of the seed dispensing unit 106 and the seed dispensing unit 106 to improve efficiency in subsequent operations.
[0040] In an embodiment of the present invention, the machine learning algorithms may be configured in the control unit 108 to predict terrain conditions based on historical sensor data from the terrain-mapping sensors 104. The machine learning algorithms may be adapted to anticipate obstacles, soil variations, and moisture levels to optimize broadcasting strategies in future deployments of the machine 100. In an embodiment of the present invention, the machine learning algorithms may be configured to monitor power consumption of the hybrid power source 112. The machine learning algorithms may be adapted to identify energy-intensive navigation patterns and recommend optimized routes for reducing energy usage of the machine 100 during broadcasting operations.
[0041] In an embodiment of the present invention, the machine learning algorithms may be integrated with the artificial intelligence based path planning algorithm to enable real-time adaptability. The machine learning algorithms may continuously refine decision-making of the control unit 108 by learning from immediate sensor data during field operation of the machine 100. In an embodiment of the present invention, the machine learning algorithms may be adapted to utilize feedback from seeding efficiency reports generated by the machine 100. The machine learning algorithms may be configured to correlate seed coverage data with environmental conditions to enhance future broadcasting performance.
[0042] In an embodiment of the present invention, the control unit 108 may be configured to return the machine 100 to a base station 202 (as shown in FIG. 2) after dispensing the seeds. The control unit 108 may be configured to execute decision-making algorithms and may continuously adapt broadcasting strategies to changing terrain conditions.
[0043] The control unit 108 may be configured to generate and store operational data. The stored operational data may be patched to the base station 202 for later analysis. Further, the control unit 108 may be configured to provide data analytics for precision farming. The data analytics may include data on seed coverage, terrain adaptation, and overall operational performance, that may additionally be transmitted to a remote monitoring device 200 (As shown in FIG. 2) for analysis. The control unit 108 may be configured to process operational data collected during broadcasting and may present insights to optimize future seed distribution strategies.
[0044] In an embodiment of the present invention, the communication interface 110 may be adapted to establish data exchange between the machine 100 and the remote monitoring device 200. In an embodiment of the present invention, the communication interface 110 may be adapted to transmit real-time operational data, live seeding progress updates, seed level alerts, and maintenance notifications, or a combination thereof. The communication interface 110 may utilize wireless communication technologies such as Bluetooth, Zigbee, Wi-Fi, or cellular networks depending on deployment scenarios. In a preferred embodiment, the communication interface 110 may be an Internet of Things (IoT) enabled modem. The communication interface 110 may therefore allow continuous connectivity for monitoring and control. The Internet of Things (IoT) enabled modem may enable remote operation and monitoring of the machine 100 through a mobile application or a web-based dashboard. The communication interface 110 may thus provide alerts regarding seed levels, navigation performance, and required maintenance onto the mobile application or a web-based dashboard.
[0045] In an embodiment of the present invention, the hybrid power source 112 may be adapted to enable a continuous power supply and operation of the control unit 108. The hybrid power source 112 may comprise a solar energy, a battery storage, or a combination thereof. The hybrid power source 112 may be adapted to switch between energy inputs based on availability and consumption demand. The hybrid power source 112 may support a low energy consumption configuration to ensure sustainable operation and reduced operational costs. The low energy consumption design may optimize use of the hybrid power source 112 and extend operational runtime during field deployment. The hybrid power source 112 may thus support sustainable operation and extended runtime while minimizing dependency on conventional fuels.
[0046] FIG. 1B illustrates the machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the self-navigating mobility unit 102 may enable autonomous movement across the terrain, afforestation sites, and degraded lands. The terrain-mapping sensors 104 may be integrated to detect obstacles, slopes, and terrain irregularities so that real-time navigation decisions may be supported.
[0047] The machine 100 may further include the seed dispensing unit 106 configured to regulate broadcasting density and optimize seed release. The seed dispensing unit 106 may execute physical release of the seeds into the terrain in coordination with the seed dispensing unit 106.
[0048] The machine 100 may be governed by the control unit 108, that may process data from the terrain-mapping sensors 104, regulate the self-navigating mobility unit 102, and synchronize seed dispensing operations. The communication interface 110 may provide connectivity with the remote monitoring device 200 and the base station 202, allowing transfer of operational data and reception of control instructions. Power requirements may be met by the hybrid power source 112, that may combine renewable and rechargeable energy inputs to ensure uninterrupted and sustainable functioning of the machine 100.
[0049] The arrangement of the self-navigating mobility unit 102, the terrain-mapping sensors 104, the seed dispensing unit 106, the seed dispensing unit 106, the control unit 108, the communication interface 110, and the hybrid power source 112 as depicted in FIG. 1B may enable the machine 100 to perform seed broadcasting tasks autonomously, efficiently, and with minimal wastage.
[0050] In one exemplary embodiment, the machine 100 may be deployed in a rice cultivation terrain covering five hectares. The machine 100 may include the self-navigating mobility unit 102 that may allow traversal across muddy and waterlogged terrain. The terrain-mapping sensors 104 may continuously scan the surface to detect patches of standing water, slopes, and irregular terrain, enabling real-time adjustments to the movement path.
[0051] The seed dispensing unit 106 may regulate the density of rice seed distribution, while the seed dispensing unit 106 may execute the physical release of seeds uniformly. The control unit 108 may process the inputs from the terrain-mapping sensors 104 and adjust the functioning of the seed dispensing unit 106 and the seed dispensing unit 106 so that precise coverage may be maintained.
[0052] The communication interface 110 may transmit live updates of operational progress to the remote monitoring device 200 positioned at a farmer’s workstation, enabling remote supervision. Energy for continuous operation may be provided by the hybrid power source 112, allowing the machine 100 to function for extended hours in the terrain. After completion of the operation, the machine 100 may return to the base station 202 for seed refilling, recharging, and diagnostic checks.
[0053] This exemplary embodiment shows how the machine 100 may achieve autonomous rice seed broadcasting with minimal wastage, uniform seed coverage, adaptability to waterlogged terrain, and provision for remote monitoring and sustainable power utilization.
[0054] FIG. 2 illustrates a connectivity diagram of the machine 100, according to an embodiment of the present invention.
[0055] In an embodiment of the present invention, the remote monitoring device 200 may be adapted to track, supervise, and analyze the operation of the machine 100. The remote monitoring device 200 may be adapted to display real-time performance parameters, seed coverage data, and operational status on a user interface. The remote monitoring device 200 may further allow intervention by operators when required and may store historical operation data for precision farming analytics.
[0056] In an embodiment of the present invention, the base station 202 may be provided to act as the central hub for deployment and recovery of the machine 100. The base station 202 may be adapted to provide charging facilities, seed refilling support, and system diagnostics. The base station 202 may further enable initialization of the machine 100 before operation and may act as a docking point after task completion. The base station 202 may thus ensure continuous readiness and maintenance of the machine 100.
[0057] FIG. 3 depicts a flowchart of a method 300 for autonomous seed broadcasting using the machine 100, according to an embodiment of the present invention.
[0058] At step 302, the machine 100 may receive the mapped geographical characteristics of the terrain from the terrain-mapping sensors 104.
[0059] At step 304, the machine 100 may dynamically adjust the seed dispensing rates based on the received geographical characteristics of the terrain.
[0060] At step 306, the machine 100 may dispense the seeds, with the dynamically adjusted seed dispensing rates, using the seed dispensing unit 106.
[0061] At step 308, the machine 100 may activate the self-navigating mobility unit 102 for navigating the machine 100 in the terrain, while continually dispensing the seeds from the seed dispensing unit 106.
[0062] At step 310, the machine 100 may be navigated to return to the base station 202.
[0063] 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.
[0064] 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 unmanned autonomous seed broadcasting machine (100), the machine (100) comprising:
a self-navigating mobility unit (102) adapted to navigate the machine (100) on a terrain;
terrain-mapping sensors (104) adapted to map geographical characteristics of the terrain, wherein the geographical characteristics are selected from soil conditions, presence of obstacles, environmental factors, or a combination thereof;
a seed dispensing unit (106) adapted to dispense seeds on the terrain; and
a control unit (108) operably coupled to the mobility unit (102), the terrain-mapping sensors (104), and the seed dispensing unit (106), characterized in that the control unit (108) is configured to:
receive the mapped geographical characteristics of the terrain from the terrain-mapping sensors (104);
dynamically adjust seed dispensing rates based on the received geographical characteristics of the terrain;
dispense the seeds, with the dynamically adjusted seed dispensing rates, using the seed dispensing unit (106); and
activate the self-navigating mobility unit (102) for navigating the machine (100) in the terrain, while continually dispensing the seeds from the seed dispensing unit (106).
2. The machine (100) as claimed in claim 1, comprising a hybrid power source (112) comprising a solar energy, a battery storage, or a combination thereof for enabling a continuous power supply and operation of the control unit (108).
3. The machine (100) as claimed in claim 1, wherein the control unit (108) is configured to enable a communication interface (110) adapted to transmit real-time operational data, live seeding progress updates, seed level alerts, and maintenance notifications, or a combination thereof, to a remote monitoring device (200).
4. The machine (100) as claimed in claim 1, wherein the control unit (108) is configured to deploy machine learning algorithms to utilize past operational data to improve an efficiency of future seed broadcasting cycle.
5. The machine (100) as claimed in claim 1, wherein the self-navigating mobility system autonomously prevents overlapping coverage of seed distribution.
6. The machine (100) as claimed in claim 1, wherein the terrain-mapping sensors (104) comprise real-time soil moisture sensors to optimize seed placement.
7. The machine (100) as claimed in claim 1, wherein the seed dispensing unit (106) comprises a centrifugal spreader, a pneumatic dispenser, a gravity-based dispenser, or a combination thereof.
8. The machine (100) as claimed in claim 1, wherein the control unit (108) is configured to return the machine (100) to a base station (202) after dispensing of the seeds.
9. The machine (100) as claimed in claim 1, wherein the seed dispensing unit (106) is adapted to vary dispensing density based on pre-programmed crop requirements.
10. A method (300) for autonomous seed broadcasting using an unmanned autonomous seed broadcasting machine (100), the method (300) is characterized by steps of:
receiving mapped geographical characteristics of a terrain from terrain-mapping sensors (104);
dynamically adjusting seed dispensing rates based on the received geographical characteristics of the terrain;
dispensing the seeds, with the dynamically adjusted seed dispensing rates, using a seed dispensing unit (106);
activating a self-navigating mobility unit (102) for navigating the machine (100) in the terrain, while continually dispensing the seeds from the seed dispensing unit (106); and
returning the machine (100) to a base station (202).
Date: October 08, 2025
Place: Noida

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