Christian Cumini
DSSAT with Differential Evolution: A Receding Horizon Approach for Online Fertilizer Optimization.
Rel. Alessio Sacco, Guido Marchetto, Simone Silvestri. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2024
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Abstract
Achieving sustainable agriculture requires balancing economic viability with environmental responsibility, particularly in fertilizer management. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program widely used among researchers and professionals due to its accuracy and flexibility in simulating crop growth, development, and final yield across diverse soil-plant-atmosphere dynamics. It contains the models for many different crops, and a suite of utilities for soil, weather, crop management, and experimental data management. Despite its strengths, the DSSAT crop simulation model exhibits certain limitations. Its whole-season simulation approach precludes real-time adjustments throughout the growing season, due, for example, to unexpected weather events or inaccurate forecasts.
Furthermore, its automatic management tool is limited to handling automatically only irrigation, sowing, and harvesting, and does not provide the option to define the fertilization strategy
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