Crop Nitrogen Stress Identification at Different Phenological Stages for Sorghum Using a Regional Crop Yield Estimation System (RCYES)

Abstract

During the growth period of a crop, estimating the crop yield and other crop stresses like water and nitrogen helps the farmers, planners, policymakers, and researchers in making decisions on effective maintenance and utilization of resource input distribution, and regulation on import and export. Crop stress identification during the crop growth at different stages helps categorize potential zones and variation in production as a result of managing crops, agronomic, and climatic features. The crop’s nitrogen requirement is a crucial factor in determining the season’s crop production. It is an essential element for plant growth and development. The most important agricultural phases that can reduce production of the crop are the Leaf growing, Anthesis, and grain filling phases. Many approaches are adopted to identify crop nitrogen stress. Various users use CSM (crop simulation model) decision support system (DSS) for Agrotechnology Transfer (DSSAT) software for their study. The CERES-Sorghum CSM embedded in the DSSAT software is used to estimate crop nitrogen stress during our research. We used the developed RCYES (regional crop yield estimation system) created using Python to prepare an experimental file and simulate yield and crop nitrogen stress at the spatial resolution of 25 km in the districts of Maharashtra, India for Sorghum crop. The RCYES system has different modules. It simulates the crop model, extracts the required information, and efficiently prepares files, graphs, and maps without much human intervention. © 2025 by Apple Academic Press, Inc.