Abstract Cassava Mosaic Disease (CMD) poses a significant threat to cassava (Manihot
esculenta Crantz) production, both globally and in Thailand. Caused by the Cassava Mosaic …

Accurate and rapid classification of large-scale lychee images is crucial for collecting
germplasm resources and studying the characteristics of different lychee varieties, and it …

BACKGROUND Crop recognition is the basis of intelligent agricultural machine operations.
Visual perception methods have achieved high recognition accuracy. However, the …

Machine Learning (ML) has a big impact on smart farming, especially rice productivity. This
is especially true for intelligent farming. Machine Learning is crucial for seed prediction …

Agriculture is facing significant challenges in the development of crop yield forecasts, which
are important aspects of decision‐making at the international, regional, and local levels. The …

Abstract In agricultural research, Crop Yield Prediction (CYP) offers the best decision-
making to assist farmers in agricultural yield forecasting efficiently. Most of the existing …

Crop Yield Prediction (CYP) plays a vital role in mitigating emerging food security
challenges, particularly when the rapid shifts in global climate patterns occur. Machine …

Recently remote sensing represents a powerful and effective tool to monitor and assess the
change in land surface temperature (LST), vegetation cover and evapotranspiration (ET) in …