Browsing by Author "Ganesh B. Gohain"

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Crop Nitrogen Stress Identification at Different Phenological Stages for Sorghum Using a Regional Crop Yield Estimation System (RCYES)
(Apple Academic Press, 2024) Ganesh B. Gohain; R.S. Singh; Anil Kumar Singh; Abhishek Singh; Ragini Sharma; Vishnu D. Rajput; Karen Ghazaryan
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.
Sensitivity Analysis of DSSAT CERESWheat Model for Uttar Pradesh for Variations
(Apple Academic Press, 2024) Yogesh Kumar; Shivam Sharma; Sushan Rungta; Anil Kumar Singh; Ganesh B. Gohain; Mahfooz Alam
Plant growth is impacted by variation in atmospheric conditions. The impacts of changes in the climate on the growth and maturation of the plant body may be estimated and assessed using crop simulation models (CSMs). In order to assess the model’s sensitivity to alterations in a variety of climatic parameters, including rainfall, minimum and maximum temperature, DSSAT CSM integrated with a wheat model – CERES (crop environment resource synthesis) was used over four growing seasons (2015-2016 to 2018-2019) for Meerut district of Uttar Pradesh state on three different dates of sowing (DOS) 15th Nov (D1), 22nd Nov (D2) and 29th Nov (D3) with a variety HD2967 (V1). The Sensitivity analysis study showed yield variation due to changes in meteorological parameters. The actual maximum temperature increased by 1.0 °C, 2.0 °C, and 3.0 °C, and decreased by 1.0 °C, 2.0 °C, and 3.0 °C for the whole crop season using the environmental modification field to check the impact on crop yield. The observed yield and crop simulation yield results have less percent deviation on 22nd Nov (D2) as compare the results with 15th Nov (D1) and 29th Nov (D3) for study area and the simulated yield increases with successive increase of maximum temperature and decreases by successive decrease of maximum temperature of wheat crop for Meerut district. © 2025 by Apple Academic Press, Inc.