Agricultural Planning System for Sustainability Benchmarking
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Solution Overview
Problem
Agricultural growers face challenges in accurately predicting and responding to weather and disease impacts on crop quality and yield, and in balancing economic, environmental, and social sustainability in crop production planning.
Innovation Solution
A computer-based agricultural planning system that receives input from growers on field and crop practices, determines optimal time windows for activities like seeding and irrigation, forecasts yields, and assesses sustainability scores against benchmarks, providing alerts and recommendations for improving sustainability and yield.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If growers manually monitor and manage crop practices, then they can respond to conditions, but it is difficult to accurately predict weather and disease impacts and take appropriate actions in time
Solution Approach 1:
The system performs preliminary actions by predicting weather conditions, disease risks, and yield outcomes before they actually occur. The crop model forecasts potential issues and recommends preventive practices in advance, allowing growers to take action before problems manifest, thus improving both prediction accuracy and response time.
Solution Approach 2:
The system implements continuous feedback loops where crop model predictions are compared with actual field conditions, and the model is refined based on observed outcomes. This feedback mechanism improves the accuracy of weather and disease impact predictions over time, while the timely delivery of recommendations reduces response time.
2Adaptability or versatility
If growers implement sustainable growing practices, then environmental and social needs are met, but it is difficult to easily observe and understand the impact on sustainability
Solution Approach 1:
The sustainability assessment module acts as an intermediary that translates complex sustainability metrics into understandable scores and recommendations. It mediates between the grower's practices and the difficult-to-measure sustainability impacts by providing quantitative assessments that make the impact observable and comprehensible.
Solution Approach 2:
The system uses visual indicators (such as color-coded sustainability scores and traffic light systems) to represent the impact of different practices on sustainability. This transforms abstract sustainability concepts into easily observable visual signals, allowing growers to quickly understand the environmental, social, and economic impacts of their decisions.
3Productivity
If growers change crop practices to improve yield or sustainability, then crop outcomes may be improved, but it is difficult to understand the impact of such changes on time windows and yield forecasts
Solution Approach 1:
The system performs preliminary yield forecasting and time window determination based on current crop practices before growers make changes. When growers modify practices, the system proactively recalculates and provides updated predictions, ensuring that information about the impact on yield and timing is available in advance rather than lost.
Solution Approach 2:
The system implements feedback mechanisms that immediately update yield forecasts and optimal time windows when crop practices are modified. This continuous feedback loop ensures that growers receive timely information about how their practice changes will impact productivity and timing, preventing information loss.
Data Source
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AI summary
A computing device receives data for a plan to grow an agricultural crop. The computer determines an overall sustainability score for sustainability categories by determining an overall level for indicators that indicative of the sustainability category. Benchmark scores are also determined for the sustainability categories by determining benchmark levels corresponding to the indicators. A benchmark level is at least in part a function of the crop, the location of the field in which the crop is planted and the sustainability category. The computer determines a comparison value of the overall sustainability score to the benchmark scores for the sustainability categories. The computer outputs an indicator of whether the comparison value is below a predetermined minimum threshold comparison value and thereby indicates whether a plan for growing the crop meets acceptable sustainability practices.