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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Published on: December 9, 2012

An Optimal Decision Support System Based on Crop Dynamic Model for N-Fertilizer Treatment.

Abhaya Pal Singh¹, Amol Yerudkar¹, Davide Liuzza²

¹Department of Engineering, University of Sannio, 82100 Benevento, Italy.

Sensors (Basel, Switzerland)

|October 14, 2022

Summary

This summary is machine-generated.

This study developed an optimal decision support system for nitrogen fertilizer management. The system enhances crop biomass growth by 28-53% while minimizing costs and environmental impact.

Keywords:

N-fertilizer crop growth dynamics optimization precision agriculture rice sensors

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Area of Science:

Agricultural Science
Environmental Science
Computational Science

Background:

Efficient nitrogen management is crucial in agriculture for economic and environmental reasons.
Excessive nitrogen fertilizer use leads to environmental issues and financial losses.
Manure compost improves soil but requires nitrogen fertilizer for optimal grain yield.

Purpose of the Study:

To develop an optimal decision support system for nitrogen fertilization.
To guide fertilization timing based on nitrogen-limited (N-limited) crop growth dynamics.
To balance nitrogen fertilizer supply with crop demand for increased yield.

Main Methods:

Utilized the N-limited crop growth model (LINTUL3).
Formulated and resolved optimization challenges: maximizing biomass growth and minimizing N-fertilizer costs.
Developed case studies for single and multiple field optimizations, considering fertilizer drift.

Main Results:

Simulations demonstrated significant increases in biomass growth.
Achieved a 28% to 53% increase in biomass growth under specific scenarios.
Validated the effectiveness of the proposed nitrogen management system.

Conclusions:

The developed decision support system optimizes nitrogen fertilizer application.
The system effectively balances crop yield, economic costs, and environmental considerations.
Optimal nitrogen management strategies are essential for sustainable modern agriculture.