In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …

Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …

The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …

In traditional practices, detection of rice plant diseases by experts is a subjective matter
whereas by testing in the laboratory is time-consuming. As a consequence, it causes …

Plant diseases are a vital risk to crop yield and early detection of plant diseases remains a
complex task for the farmers due to the similar appearance in color, shape, and texture. In …

Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

In the field of modern agriculture, plant disease detection plays a vital role in improving crop
productivity. To increase the yield on a large scale, it is necessary to predict the onset of the …

The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …