Crop Management System for Predictive Nitrogen and Irrigation Scheduling
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Solution Overview
Problem
Farmers face challenges in determining the optimal timing and amount of nitrogen fertilizer and irrigation for crops, often leading to over-application, which wastes resources, harms the environment, and increases costs, due to the reactive nature of current monitoring systems that fail to predict future crop needs accurately.
Innovation Solution
A system that generates a schedule for nitrogen and irrigation management based on current crop status and predicted future requirements, using weather and soil data to calculate deficit values and provide a display of recommended application dates and amounts, allowing for forward planning and minimizing waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If farmers over-irrigate and over-fertilise to ensure yield is not lost, then crop yield is maintained or improved, but resource waste increases and environmental damage occurs
Solution Approach 1:
The system performs preliminary calculations of nitrogen deficit and water deficit values before the actual crop needs occur. By using crop models and weather forecasts, the system predicts future nitrogen and water requirements in advance, allowing farmers to apply fertilizers and irrigation at optimal times rather than reacting after deficits have already occurred. This preliminary action prevents both over-application and yield-limiting shortages.
Solution Approach 2:
The system continuously monitors actual weather conditions, soil moisture, and crop development stages, then feeds this information back into the crop models to update nitrogen and water deficit predictions. This feedback loop allows the system to adjust recommendations dynamically, ensuring that fertilizer and irrigation applications are precisely matched to actual crop needs rather than following fixed schedules, thereby reducing waste while maintaining yield.
2Measurement precision
If farmers use reactive monitoring systems to determine nitrogen and irrigation needs, then current crop status is addressed, but future crop needs are not predicted accurately leading to timing mismatches
Solution Approach 1:
The system performs preliminary calculations of nitrogen deficit and water deficit values before the actual crop needs occur. By using crop models and weather forecasts, the system predicts future nitrogen and water requirements in advance, allowing farmers to apply fertilizers and irrigation at optimal times rather than reacting after deficits have already occurred. This preliminary action prevents both over-application and yield-limiting shortages.
Solution Approach 2:
The system divides the growing season into discrete time steps (e.g., daily or weekly intervals) and calculates nitrogen and water deficits for each segment separately. This segmentation allows the system to provide specific, time-resolved recommendations for each application event rather than providing a single aggregate recommendation, enabling precise timing of multiple fertilizer and irrigation applications throughout the season.
3Reliability
If farmers apply nitrogen fertilizer in advance to ensure availability, then crop nitrogen needs are met, but nitrogen may be lost through leaching or denitrification before crop uptake
Solution Approach 1:
The system performs preliminary calculations of nitrogen deficit and water deficit values before the actual crop needs occur. By using crop models and weather forecasts, the system predicts future nitrogen and water requirements in advance, allowing farmers to apply fertilizers and irrigation at optimal times rather than reacting after deficits have already occurred. This preliminary action prevents both over-application and yield-limiting shortages.
Solution Approach 2:
The system dynamically adjusts nitrogen application recommendations based on real-time weather conditions, soil moisture status, and crop development stage. Rather than using fixed application schedules, the system continuously updates predictions of nitrogen deficit and crop uptake rates, allowing the timing and amount of fertilizer applications to adapt to changing conditions. This dynamic approach ensures nitrogen is applied when crops are most likely to uptake it efficiently, minimizing losses from leaching and denitrification.
Data Source
AI summary
The invention provides a method of managing fertilizer and irrigation inputs for a crop, the method comprising obtaining management data for the crop, the management data including a planting date for the crop; obtaining weather data representative of the geographic area of the crop; obtaining soil description data representative of the geographic area of the crop; calculating an emergence date at least partly from the planting date; calculating a plurality of nitrogen deficit values at least partly from the emergence date and the soil description data, the nitrogen deficit values associated with respective dates each later than the emergence date; calculating a plurality of water deficit values at least partly from the emergence date and the weather data, the water deficit values associated with respective dates each later than the emergence date; and presenting on a display a schedule of recommended nitrogen application values, irrigation values and application dates, the schedule calculated at least partly from the nitrogen deficit values and the water deficit values.