Understanding crop phenology is fundamental to agricultural production, management, planning, and decision-making. This study used 250 m 16-day Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) time-series data to detect crop phenology across the Midwestern United States, 2007–2015. Key crop phenology metrics, start of season (SOS) and end of season (EOS), we...

Modelling crop evapotranspiration (ET) response to different planting scenarios in an irrigation district plays a significant role in optimizing crop planting patterns, resolving agricultural water scarcity and facilitating the sustainable use of water resources. In this study, the SWAT model was improved by transforming the evapotranspiration module. Then, the improved model was applied in Qin...

Rainfall data of 17 districts in Chhattisgarh state has been used to determine the quantity rainfall at different probability levels through incomplete gamma distribution. Bastar highest total annual rainfall, with 1090.0 mm, 1247.5 and 1440.0 respectively, 90 percent, 75 50 percent likelihood levels. Sukma district 1696.6 mm 1955.3 25% 10% levels, respectively. At Bilaspur lowest 300.8 542.8 K...