Description:Technical Field of the Invention:

[0001] The present invention pertains to the field of agricultural robotics and automation, specifically focusing on the development of a manual agricultural robot that assists in tasks such as planting, weeding, and harvesting. The invention integrates features like interchangeable attachments, manual control systems, and safety enhancements to address the needs of small-scale and resource-limited farmers. This field intersects mechanical engineering, electronics, and agricultural sciences, providing innovative solutions to improve farming efficiency, productivity, and safety.

Background of the Invention:

[0002] In the modern agricultural landscape, the adoption of robotic systems is increasingly prevalent as a means to meet rising food demand, optimize resource usage, and mitigate labour shortages. Advanced agricultural robots have been developed to automate tasks such as planting seeds, applying fertilizers and pesticides, and harvesting crops. These robots are typically equipped with sophisticated technologies, including GPS navigation, artificial intelligence, and autonomous control systems, making them highly efficient and precise.
[0003] However, despite these advancements, the current state of agricultural robotics reveals significant gaps and limitations. One of the most pressing challenges is the high cost and complexity of existing systems, which restricts their accessibility to large-scale, industrial farming operations. These systems often require significant investment in terms of purchasing, training, and maintenance, rendering them unsuitable for small-scale or resource-constrained farmers.
[0004] Another limitation lies in the task-specific design of many agricultural robots. These systems are typically optimized for specific tasks, such as harvesting a particular crop or spraying pesticides. This lack of flexibility limits their usability in diverse farming environments where multiple operations need to be performed. Additionally, the reliance on full automation in most modern systems leaves little room for manual intervention. Farmers often require the ability to make real-time adjustments, especially in scenarios where unpredictable field conditions demand flexible and intuitive control mechanisms.

[0005] Safety concerns also persist in the adoption of autonomous systems. Without robust safety features, these robots can pose risks to both farmers and their environment. For instance, accidental collisions or equipment malfunctions can lead to damage, injuries, or loss of crops.

[0006] Given these challenges, there is a pressing need for a solution that bridges the gap between advanced robotics and the practical requirements of farmers. A system that is simple, affordable, and easy to use, yet versatile and adaptable, could address these issues. Such a solution should also emphasize safety and provide manual control capabilities to empower farmers with greater flexibility and precision in their operations.

Summary of the Invention:

[0007] The invention presents a manual agricultural robot designed to overcome the limitations of existing robotic systems while meeting the practical needs of farmers. This robot introduces a novel approach by integrating simplicity, affordability, and versatility, making advanced agricultural technologies accessible even to small-scale farmers with limited resources.
[0008] Unlike conventional systems, the present invention emphasizes a low-maintenance design that minimizes the number of moving parts prone to wear and tear. This feature significantly reduces repair and servicing requirements, ensuring reliable and cost-effective operation over extended periods. The robot's manual control system, built around a Double Pole Double Throw (DPDT) switch, allows farmers to operate it with ease. This system provides intuitive control over the robot’s movement and functions, enabling farmers to make real-time adjustments and adapt to varying field conditions.
[0009] The robot's versatile design includes interchangeable attachments that can be quickly swapped to perform a range of agricultural tasks. For instance, a seed dispenser can be used for planting, while rotating brushes or blades can be employed for weeding. This adaptability ensures that the robot can address diverse farming needs without requiring specialized equipment for each task.
[0010] Safety is a critical aspect of the invention. The robot is equipped with emergency stop buttons and optional obstacle detection sensors, ensuring a secure operating environment. These features protect farmers from potential accidents and allow safe operation even in challenging field conditions. The robot's lightweight yet durable frame further enhances its manoeuvrability and usability, making it suitable for small farms with limited infrastructure.
[0011] Moreover, the invention aligns with sustainability goals by reducing the environmental footprint of farming practices. The robot enables precision in applying fertilizers and pesticides, minimizing waste and environmental impact while optimizing crop yields. It also promotes labour efficiency by automating repetitive tasks, addressing labour shortages, and reducing physical strain on farmers.
[0012] The invention is designed for versatility, with easily interchangeable attachments that can perform a range of agricultural tasks such as planting, weeding, and harvesting. This adaptability makes the robot suitable for diverse farming environments, enhancing its utility for farmers with varying needs. Safety features, including emergency stop buttons and optional obstacle detection sensors, are incorporated to ensure secure operation, reducing the risks of accidents during fieldwork. The robot's low-maintenance design, characterized by minimal moving parts and durable materials, further enhances its appeal by reducing the need for frequent repairs and associated costs.

Brief Description of the Drawings:

[0013] The foregoing and other features of embodiments will become more apparent from the following detailed description of embodiments when read in conjunction with the accompanying drawings.
[0014] FIG 1 illustrates a structural framework of the agricultural robot.
[0015] FIG 2 illustrates a operational workflow of the agricultural robot.

Detailed Description of the Invention:

[0016] The present invention discloses an autonomous agricultural robot system, referred to as AgriBot, designed to automate the process of seed planting with enhanced precision, efficiency, and adaptability. This invention addresses the challenges associated with traditional farming practices, including labour-intensive methods, inconsistent planting accuracy, and the inability to dynamically adapt to changing field conditions. By integrating advanced sensor technology, control systems, and intelligent algorithms, the invention revolutionizes modern agriculture, ensuring optimal resource utilization and higher crop yields.
[0017] Figure 1 illustrates the structural framework of the agricultural robot, referred to as AgriBot (100), which integrates multiple modules to perform agricultural tasks efficiently. At the top of the structure lies the Control System (101), which serves as the central command unit of the robot. The control system (101) is further divided into two primary subsystems: the Navigation System (102) and the Sensing System (103). The navigation system (102) is responsible for guiding the robot's movement across the field, ensuring precise and controlled mobility. Simultaneously, the sensing system (103) collects environmental data, enabling the robot to make informed decisions and adjust its operations dynamically, such as detecting obstacles or monitoring field conditions.
[0018] Beneath the control system (101) is the sensor array (104), which acts as the primary interface between the robot and its external environment. The sensor array (104) comprises a collection of sensors designed to gather real-time data from the field. This data includes information on soil conditions, crop parameters, and other agricultural metrics essential for effective operation. The sensor array (104) continuously feeds data into the system, facilitating dynamic and responsive task execution.
[0019] The next component in the system is the Motor Control System (105), which drives the physical components of the robot, such as its wheels or tracks, enabling mobility and operational tasks. Closely linked to the motor control system (105) is the Algorithm Processing Unit (106), which serves as the computational core of the robot. The processing unit (106) analyses the data received from the sensor array (104) using sophisticated algorithms. This analysis generates actionable commands for the motor control system (105), ensuring precise and context-specific operations.
[0020] The figure also highlights the bidirectional communication between the motor control system (105) and the algorithm processing unit (106), as represented by feedback loops. This feedback mechanism is critical for real-time adjustments, allowing the robot to respond effectively to environmental changes or operational challenges. The modular design of the AgriBot (100), as depicted in the figure, underscores the seamless integration of hardware and software components, delivering optimal performance in a variety of agricultural applications. Each component is designed to work in unison, ensuring efficiency, precision, and adaptability in diverse field conditions.
[0021] Figure 2 illustrates the operational workflow of the agricultural robot (AgriBot) for performing autonomous seed planting tasks in a systematic manner. The method begins with the initialization of the AgriBot (201). In this step, the robot is powered on, and key operational parameters are set. These parameters may include the type of seed, the desired planting depth, row spacing, and specific field dimensions. This initialization ensures the robot is configured to meet the requirements of the planting task effectively.
[0022] Once initialized, the method proceeds to Step (202), where the AgriBot evaluates the field conditions. Using its integrated sensor array, the robot collects data on critical parameters such as soil moisture, temperature, and terrain features. Based on this data, the robot analyzes the field to identify a suitable planting area. Following this, the method advances to Step (203), where the robot navigates to the selected planting area. This navigation is achieved using the AgriBot's navigation system, which ensures precise and efficient movement while avoiding obstacles and minimizing soil disturbance.
[0023] Upon reaching the designated planting area, the method activates the seed planting attachment (204). This activation prepares the mechanism responsible for distributing seeds into the soil. The method then moves to Step (205), where the AgriBot starts planting seeds by systematically depositing them into the soil at the predetermined depth and spacing. During this operation, the method ensures continuous monitoring of seed distribution and depth (206) using the AgriBot's sensor array. This step is crucial for maintaining consistency and accuracy throughout the planting process.
[0024] If any irregularities are detected, such as incorrect seed depth or uneven distribution, the method includes a dynamic adjustment step (207). In this step, the robot modifies the planting parameters in real-time to ensure that the operation adheres to the predefined specifications. The planting process continues until the entire designated area has been covered (208).
[0025] Once the planting is completed, the method deactivates the seed planting attachment (209) to conclude the planting operation and to prevent unnecessary wear on the machinery. Finally, the AgriBot either navigates to the next task or returns to its base station (210). This marks the end of the method (200). The structured sequence of steps ensures that the AgriBot operates autonomously with precision, efficiency, and adaptability to varying field conditions.
[0026] At the core of the invention is a control system, which serves as the primary coordinator for the AgriBot's operations. This system comprises two subsystems: the navigation system and the sensing system. The navigation system enables the AgriBot to autonomously traverse the field by leveraging GPS technology and terrain-mapping algorithms. It ensures accurate positioning and obstacle avoidance, thereby facilitating seamless movement across various types of agricultural land. The sensing system, on the other hand, utilizes a sophisticated sensor array to gather critical data about the field's conditions. Sensors integrated into the array measure soil moisture, temperature, and terrain features, providing real-time inputs to guide planting decisions.
[0027] The invention incorporates a seed planting mechanism designed to deposit seeds at predefined depths and spacing. This mechanism includes a seed metering unit that ensures precise control over the seed flow rate, allowing for uniform distribution. The planting mechanism is actuated by a motor control system, which translates control commands into mechanical actions. This motor control system works in tandem with the navigation and sensing systems, enabling the robot to plant seeds efficiently while adapting to variations in field conditions.
[0028] To achieve dynamic adaptability, the invention includes an algorithm processing unit that processes the data collected by the sensing system. This unit uses advanced computational algorithms, including machine learning techniques, to analyze sensor inputs and optimize planting parameters such as depth, spacing, and seed distribution. The algorithm processing unit continuously adjusts the planting operations in real-time, ensuring that the robot adapts to variations in soil quality, moisture levels, and environmental conditions.
[0029] Communication is a key feature of the invention, facilitated by a communication module that enables real-time interaction with a remote base station. This module transmits field data, planting progress, and system diagnostics, allowing operators to monitor and manage the AgriBot's activities remotely. The communication capability also ensures seamless task coordination, enabling the robot to integrate into larger agricultural workflows.
[0030] The AgriBot operates on a sustainable energy model, integrating renewable energy sources such as solar panels to power its components. This feature enhances the system's environmental friendliness and reduces operational costs, making it accessible to a wider range of users, including small and medium-scale farmers.
[0031] The present invention offers numerous advantages over existing agricultural technologies. It eliminates the need for manual labor in seed planting, reduces human error, and enhances planting precision. By leveraging real-time data analysis and intelligent algorithms, the AgriBot ensures optimal utilization of resources such as seeds and water. Furthermore, the system is highly scalable and can be adapted for use in diverse agricultural scenarios, from small-scale farms to large industrial plantations.
[0032] In conclusion, the disclosed invention represents a significant advancement in agricultural automation. By combining advanced sensing, navigation, and control technologies with intelligent data processing, the AgriBot provides a comprehensive solution for efficient and precise seed planting. Its innovative features make it a valuable tool for modern agriculture, addressing critical challenges and paving the way for a more sustainable and productive future.
, Claims:WE CLAIM:

1. An autonomous agricultural robot system (100) for seed planting, comprising:
a control system (101) configured for navigation and sensing;
a navigation system (102) for autonomous movement based on field parameters;
a sensing system (103) with a sensor array (104) to detect field conditions, including soil moisture, temperature, and terrain features;
a seed planting mechanism (105) for dispensing seeds at a predefined depth and spacing;
a motor control system (106) to actuate robot movement and planting operations;
an algorithm processing unit (107) for analysing sensor data and adjusting planting parameters dynamically; and
a communication module (108) for data transmission and task coordination with a remote base station.

2. The system (100) as claimed in claim 1, wherein the navigation system (102) includes a GPS module for precise field navigation.

3. The system (100) as claimed in claim 1, wherein the sensor array (104) comprises soil moisture, temperature, and infrared sensors for real-time data acquisition.
4. The system (100) as claimed in claim 1, wherein the algorithm processing unit (107) utilizes machine learning for optimizing planting operations.

5. The system (100) as claimed in claim 1, wherein the seed planting mechanism (105) includes an adjustable seed metering unit to control seed flow rate.

6. The system (100) as claimed in claim 1, wherein the communication module (108) enables real-time monitoring and control through a mobile or web interface.

7. The system (100) as claimed in claim 1, further comprising renewable energy sources, such as solar panels, for sustainable operation.

8. A method (200) for autonomous seed planting, comprising:
initializing the robot system and setting planting parameters;
detecting field conditions using a sensing system (103) to identify suitable planting areas;
navigating the robot to planting locations using a navigation system (102);
activating the seed planting mechanism (105) to dispense seeds at specified depths and spacing;
monitoring and adjusting planting parameters dynamically based on sensor data;
deactivating the planting mechanism upon task completion; and
returning the robot to a base station or transitioning to the next task.

9. The method (200) as claimed in claim 8, wherein detecting field conditions involves measuring soil moisture, temperature, and terrain features.

10. The method (200) as claimed in claim 8, wherein navigation is performed using a GPS-enabled system for accurate positioning.

11. The method (200) as claimed in claim 8, further comprising data transmission to a remote base station for real-time monitoring and reporting.