This study developed a rapid rice yield estimation workflow and customized yield prediction
model by integrating remote sensing and meteorological data with machine learning (ML) …

Scientific irrigation scheduling aims to solve the on-farm allocation of water, deciding
whether or not to irrigate, when, and determining the amount. Studies conducted in various …

Mapping nationwide in-season crop-type data is a significant and challenging task in
agriculture remote sensing. The existing data product for US crop-type planting, such as the …

Wheat is a major cereal crop in China, and its yield and quality play an important role in
ensuring national food security. Wheat ears are the key to predicting and evaluating wheat …

Sugarcane, a significant essential economic crop for sugar products, bioethanol, and fiber
material, is cultivated around the world near tropical regions, such as Brazil, India, China …

task of irrigation scheduling involves sequentially establishing both the timing and quantity
of irrigation to be administered to the field throughout the course of the growing season. This …

Wheat is one of the most significant crops in China, as its yield directly affects the country's
food security. Due to its dense, overlapping, and relatively fuzzy distribution, wheat spikes …

Early crop mapping can provide important information for crop growth monitoring, planting
distribution, and yield prediction, which is important for agricultural resource management as …

This study introduces a Cross-Scale Feature Selection Transformer (CFST) to enhance crop
classification accuracy using street view (SV) images. Firstly, semantic segmentation …

The crop type planting prediction map is an essential agro-geoinformation data source to
explore and quantify agriculture cultivation distribution in the coming year, implying crop …