Purpose This review offers insight into AI's current and future contributions to medical image
analysis. The article highlights the challenges associated with manual image interpretation …

Artificial intelligence has been incorporated into modern agriculture to increase agricultural
output and resource efficiency. Utilizing deep learning, particularly convolutional neural …

One of the most significant risks impacting crops is pests, which substantially decrease food
production. Further, prompt and precise recognition of pests can help harvesters save …

The agricultural industry has enormous potential to meet the world's growing need for
nutritious and healthful food. However, pests destroy a significant portion of the harvest and …

As pests can cause heavy crop losses, integrated pest management is a vital aspect of
agriculture. In general, pest recognition is essential to the integrated pest management …

Modern agriculture is more scientific, analytical, and technological. IoT technology has
smartened agriculture. This upheaval changed farming and created many opportunities …

Maize leaf disease significantly reduces the quality and overall crop yield. Therefore, it is
crucial to monitor and diagnose illnesses during the growth season to take necessary …

Under the new demand model of Agriculture 4.0, automated spraying is a very complex task
in precision agriculture, which needs to be combined with a computerized vision perception …

Pests are always the main source of field damage and severe crop output losses in
agriculture. Currently, manually classifying and counting pests is time consuming, and …

Pests pose a major danger to a variety of industries, including agriculture, public health, and
ecosystems. Fast and precise pest detection, as well as the ability to predict infestations, are …