Windrower Yield Determination System Using Header Load Sensors
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Solution Overview
Problem
Agricultural vehicles, such as windrowers, face challenges in determining crop yield variations across fields, which affects fertilizer distribution and overall yield optimization.
Innovation Solution
The implementation of a system that includes sensors to measure load on the windrower's header and driveline, along with location data, allows for real-time crop yield determination and generation of yield maps, enabling targeted fertilizer application and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional uniform fertilizer application is used across the field, then the操作简单性 (ease of operation) is maintained, but the crop yield optimization is compromised due to inability to address local yield variations
Solution Approach 1:
The field is divided into multiple zones based on yield data collected from sensors at different locations. Each zone is characterized by specific yield levels, allowing differential fertilizer application strategies to be applied to different segments of the field rather than uniform treatment
Solution Approach 2:
The system applies different fertilizer rates to different zones based on their specific yield characteristics. Low-yield zones receive higher fertilizer rates while high-yield zones receive lower rates, optimizing resource allocation according to local conditions rather than applying uniform treatment throughout
2Measurement precision
If yield determination systems with multiple sensors are implemented, then the measurement precision is improved, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The sensor system is designed to collect multiple types of data (yield information, location data, operational parameters) using integrated sensors that serve multiple functions. The controller processes various data types through a unified algorithm framework, reducing overall system complexity despite the multi-parameter measurement requirements
Solution Approach 2:
The controller acts as an intermediary that receives data from multiple sensors and processes it through yield determination algorithms. This centralized processing approach simplifies the system architecture by providing a single point of data integration and analysis rather than requiring complex distributed processing across multiple independent systems
3Loss of information
If real-time yield monitoring is implemented during harvesting, then the information availability is improved for fertilizer application decisions, but the loss of time in data processing and analysis increases
Solution Approach 1:
The system collects and stores yield data during the harvesting operation itself, before fertilizer application decisions are made. This preliminary data collection allows subsequent fertilizer application decisions to be based on already-processed information rather than requiring real-time analysis during the critical decision-making window
Solution Approach 2:
The system provides feedback to the operator about yield conditions in different zones, enabling informed decisions about fertilizer application rates. This feedback mechanism allows the operator to adjust fertilizer application based on actual yield data without requiring complex real-time calculations during the application process
Data Source
AI summary
A method of determining a crop yield of a field harvested by a windrower includes receiving, from a header sensor, header data indicative of a load experienced by a header of the windrower, the header including a cutter configured to cut plant material and a conditioning system configured to condition the plant material. The method further includes receiving, from a location sensor, location data indicative of a location of the windrower, and determining the crop yield at the location of the windrower based on the header data and the location data.