The accurate and timely map** of summer maize is vital for agricultural management and
food security. Time-series remotely sensed imagery provides a promising data resource for …

Map** crop types and land cover in smallholder farming systems in sub-Saharan Africa
remains a challenge due to data costs, high cloud cover, and poor temporal resolution of …

Crop identification is key to global food security. Due to the large scale of crop estimation,
the science of remote sensing was able to do well in this field. The purpose of this study is to …

Abstract Dual-pol Shannon Entropy captures the dynamic crop growth parameters. It was
used to evaluate biophysical parameters of important crops using Sentinel-1 data. Improved …

Catch crops are intermediate crops sown between two main crop cycles. Their adoption into
the crop** system has increased considerably in the last years due to its numerous …

Crop-specific land suitability analysis can better support a region's agricultural base and
enhance its resource utilization efficiency. In this study, we employ the Analytical Hierarchic …

Synergistic use of satellite data has an advantage over single-source data as optical,
thermal, and microwave datasets. Previous studies have demonstrated the efficacy and …

The agriculture sector in Egypt faces several problems, such as climate change, water
storage, and yield variability. The comprehensive capabilities of Big Data (BD) can help in …

Pearl millet (Pennisetum glaucum LR Br.), is the most widely cultivated food crop after rice,
wheat, and maize. The aim of the project is to determine the crop acreage of Pearl millet …

Study on pearl millet discrimination in mixed crop** environment was carried out as it
forms the major coarse cereal crop in India. The study aims at determining the capabilities of …