Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …

Photographs of skin lesions taken with standard digital cameras (macroscopic images) have
gained wide acceptance in dermatology. However, uneven background lighting caused by …

Since the advent of smart agriculture, technological advancements in solar energy have
significantly improved farming practices, resulting in a substantial revival of different crop …

The solar insecticidal lamp (SIL) is an electronic device designed for physical pest control,
widely utilized in orchards and farmland. Currently, the characteristic of the phototactic …

Carpophilus marginellus Motschulsky is a storage pest that damages fruits, dried fruits,
grains, and other agricultural produce. Because the beetle is also saprophagous and has …

Although existing facial expression recognition (FER) methods have achieved great
success, their performance degrades significantly under noisy labels caused by low-quality …

The importance of forecasting crop yields in agriculture cannot be overstated. The effects of
yield forecasting are observed in all the aspects of the supply chain from staffing to supplier …

Simple Summary In this study, we tackled an important issue in modern farming: predicting
plant pests and diseases more effectively. Traditional methods are slow and often incorrect …

Cotton plant disease identification poses challenges due to image acquisition limitations,
diverse illnesses, lack of labelled data, and cost constraints. Despite these obstacles, early …

Climate conditions significantly influence agricultural productivity, with regional fluctuations
impacting both crop yield and quality. This study explores the significant impact of climate …