Autonomous Row-Crop Robot for In-Season Fertilizer Precision
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Solution Overview
Problem
Current agricultural technologies face inefficiencies in fertilizer application, particularly in-season management tasks, due to the limitations of conventional tractor-drawn equipment and the loss of nutrients through various processes, leading to uneven nutrient distribution and increased costs for farmers.
Innovation Solution
An autonomous vehicle platform capable of navigating between planted rows, equipped with a seeding structure, navigation module, and microprocessor, which allows for autonomous operation in performing tasks such as sampling and seeding cover crops, while alerting operators to obstacles, thereby optimizing fertilizer application and reducing nutrient loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional tractor-drawn equipment is used for fertilizer application, then equipment availability and simplicity are maintained, but the ability to perform in-season management tasks is limited due to crop height restrictions
Solution Approach 1:
The system divides the field into manageable rows and processes them sequentially using an autonomous vehicle that navigates between rows. This segmentation allows the system to perform in-season management tasks on tall crops without requiring complex high-clearance equipment across the entire field.
Solution Approach 2:
The autonomous vehicle performs fertilizer application and monitoring tasks independently without human intervention. The system self-navigates, self-monitors for obstacles, and self-adjusts operation parameters, eliminating the need for complex operator-controlled high-clearance equipment.
2Reliability
If fertilizer is applied to the soil surface for quick availability, then nutrient accessibility is improved, but loss through volatilization and runoff increases
Solution Approach 1:
The system performs soil sampling and nutrient analysis before fertilizer application to determine precise application rates and timing. This preliminary assessment ensures fertilizer is applied only when and where needed, reducing waste from runoff and volatilization while maintaining nutrient availability.
Solution Approach 2:
The autonomous vehicle continuously monitors field conditions and crop nutrient status, using this feedback to adjust fertilizer application rates in real-time. This closed-loop control optimizes nutrient availability while minimizing losses through volatilization and runoff.
3Reliability
If uniform fertilizer application is used to ensure adequate nutrient supply, then crop growth requirements are met, but nutrient distribution efficiency decreases and costs increase
Solution Approach 1:
The system applies fertilizer at varying rates based on local soil nutrient status and crop needs identified through sampling and monitoring. This localized approach ensures adequate nutrient supply in deficient areas while avoiding over-application in sufficient areas, improving efficiency and reducing costs.
Solution Approach 2:
The system dynamically adjusts fertilizer application parameters (rate, timing, location) based on real-time field conditions and crop responses. This parameter optimization ensures reliable nutrient supply while maximizing application efficiency and minimizing waste.
4Adaptability or versatility
If high-clearance systems are used to access tall crops, then in-season management capability is improved, but equipment complexity and cost increase
Solution Approach 1:
The autonomous vehicle independently navigates and operates between crop rows, using sensors and navigation systems to access tall crops without requiring complex mechanical high-clearance structures. The system's intelligence compensates for the simpler mechanical design.
Solution Approach 2:
The system replaces complex mechanical high-clearance equipment with an autonomous navigation and sensing system that can operate effectively among tall crops. The mechanical simplicity is compensated by electronic and software complexity in the autonomous control system.
Data Source
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AI summary
An agricultural robot configured to perform one or more in-season management tasks on an agricultural field while autonomously navigating between adjacent rows of planted crops, based at least in part on an increased data collection range of one or more aerial navigation sensors coupled to a mast extending generally upward, away from a surface of the agricultural field.