Crop Management System Using Spatial Moisture Mapping for Targeted Tedding
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Solution Overview
Problem
The haymaking process faces a challenge in balancing the need to dry crop material to prevent mold and spoilage while minimizing handling that damages the material and reduces nutritional value, as excessive handling can compromise the crop's nutritional quality, especially in dry regions.
Innovation Solution
A crop management system utilizing field sensors to detect moisture content at multiple locations, transmitting data to a central processor for mapping, which determines the specific areas needing tedding, raking, and baling, allowing for targeted handling to maximize nutritional value and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If crop material is handled extensively through tedding and raking to ensure thorough drying, then the crop material dries adequately to prevent mold and spoilage, but the handling damages individual strands and removes leaves, reducing nutritional value
Solution Approach 1:
The system implements spatially differentiated handling by dividing the field into multiple zones based on moisture content measurements. Each zone receives tedding or raking operations only if its moisture level exceeds the threshold, allowing dry areas to remain undisturbed while wet areas receive necessary handling. This local quality approach ensures that handling is applied selectively rather than uniformly across the entire field.
Solution Approach 2:
The field is segmented into multiple discrete zones based on moisture content data collected from sensors positioned throughout the area. The data processor divides the field into zones requiring handling and zones that do not, enabling independent treatment of each segment. This segmentation allows the system to optimize handling operations for each zone individually, preventing unnecessary damage to already-dry crop material.
2Loss of substance
If crop material is handled minimally to preserve nutritional value, then less damage occurs to strands and leaves, but the crop material may not dry sufficiently, leading to mold and spoilage
Solution Approach 1:
The system continuously monitors moisture content in each field zone using sensor data and uses this feedback to dynamically adjust handling operations. The data processor compares real-time moisture measurements against target thresholds and automatically determines which zones require tedding or raking. This closed-loop feedback mechanism ensures handling is applied only when and where moisture levels indicate it is necessary, optimizing both drying adequacy and nutritional preservation.
Solution Approach 2:
The system performs preliminary moisture assessment across the entire field before initiating any handling operations. By measuring moisture content in advance and mapping spatial variations, the system can pre-identify zones that will require handling versus those that will not. This preliminary action allows operators to plan and execute handling operations efficiently, avoiding unnecessary interventions in zones that are already sufficiently dry.
3Reliability
If the entire field is processed uniformly for drying, then all crop material has equal opportunity to dry, but time and resources are wasted on areas that are already dry
Solution Approach 1:
The system applies different drying strategies to different spatial locations based on their specific moisture conditions. Rather than uniform processing, each zone receives handling operations tailored to its moisture level. This local quality approach ensures that dry areas are not subjected to unnecessary handling while wet areas receive appropriate attention, optimizing both drying uniformity across the field and overall processing efficiency.
Solution Approach 2:
The system applies handling operations partially, only to the extent necessary for each zone's drying needs. By using moisture threshold criteria, the system determines the minimum required handling for each area, avoiding excessive action in already-dry zones. This partial action approach maintains adequate drying where needed while eliminating wasteful processing in areas that have already achieved sufficient dryness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enables precise handling of crop material based on moisture levels, minimizing unnecessary handling in dry areas and ensuring wet regions are adequately dried, thus maintaining nutritional value and optimizing the haymaking process.
Implementation Method 1
a field sensor configured to detect one or more parameters of the crop material at multiple locations in the field and to output a signal representative of the detected parameters at each location
Data Source
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AI summary
A crop management system (10) for processing crop material (14) positioned on afield (18) is disclosed. The crop management system (10) comprising: a field sensor (22) configured to detect one or more parameters of the crop material (14) at multiple locations in the field (18) and to output a signal representative of the detected parameters at each location; and a data processor (26) in operable communication with the field sensor (22) and configured to receive the signal, and wherein the data processor (26) is also configured to compile the data representative of the one or more parameters of the crop material (14) at the multiple locations with corresponding position data to determine the timing and location of a processing process.