Simple Summary Insect pests can damage crops and food production, causing problems for
farmers. The detection of plant pests is essential for ensuring the excellent productivity of …

Crop yield production could be enhanced for agricultural growth if various plant nutrition
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …

This paper discusses a sweetgum leaf-spot image segmentation method based on an
improved DeeplabV3+ network to address the low accuracy in plant leaf spot segmentation …

In the modern era, agriculture is necessary for human existence globally, and it is imperative
to work toward increasing agricultural yields. Yet, crop production may be affected due to the …

Agriculture plays a crucial role in the economy, and there is an increasing global emphasis
on automating agricultural processes. With the tremendous increase in population, the …

We propose a lightweight neural network-based method to detect the estrus behavior of
ewes. Our suggested method is mainly proposed to solve the problem of not being able to …

The key problems that influence plant health and crop yield quality are leaf disease and
pests. To improve crop production many advanced technologies are deployed. One of the …

Pests and diseases significantly impact the quality and yield of maize. As a result, it is crucial
to conduct disease diagnosis and identification for timely intervention and treatment of maize …

Plant pest and disease management, especially in the early stages of infestation, is a critical
challenge that poses significant threats and has potential to devastate agricultural crops …

The agriculture sector plays a crucial role in supplying nutritious and high-quality food. Plant
disorders significantly impact crop productivity, resulting in an annual loss of 33%. The early …