Climate change affects plant growth, food production, ecosystems, sustainable socio-
economic development, and human health. The different artificial intelligence models are …

An increasing number of studies are focused on developing and evaluating machine
learning (ML) models for crop yield prediction. However, poor reporting and intentional or …

Introduction Cotton yield estimation is crucial in the agricultural process, where the accuracy
of boll detection during the flocculation period significantly influences yield estimations in …

Context Predicting crop yields with high precision and timeliness is essential for crop
breeding, enabling the optimization of planting strategies and efficients resource allocation …

Agriculture is essential for global income, poverty reduction, and food security, with crop
yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant …

Aboveground biomass (AGB) directly reflects crop carbon fixation capacity. Utilizing
unmanned aerial vehicle (UAV) remote sensing for high-throughput AGB monitoring offers …

Accurate monitoring of crop organ biomass facilitates optimizing agronomic strategies to
maximize yield or economic benefit. Unmanned aerial vehicle (UAV) is extensively …

The diagnosis of lymphomas is challenging due to their diverse histological presentations
and clinical manifestations. There is a need for inexpensive tools that require minimal …

The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a
stable food supply and food security. In the last few years, many studies have demonstrated …

Many environmental variables, in particular, related to air or water quality, are measured in a
limited number of points and often for a limited time span. This forbids the development of …