Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …

The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …

An accurate image retrieval technique is required due to the rapidly increasing number of
images. It is important to implement image annotation techniques that are fast, simple, and …

A total of 8.46 million tons of date fruit are produced annually around the world. The date fruit
is considered a high-valued confectionery and fruit crop. The hot arid zones of Southwest …

Sunflower is an important crop that is susceptible to various diseases, which can
significantly impact crop yield and quality. Early and accurate detection of these diseases is …

Different kinds of techniques are evaluated and analyzed for various classification models
for the detection of diseases of citrus fruits. This paper aims to systematically review the …

Predicting subcellular protein localization has become a popular topic due to its utility in
understanding disease mechanisms and develo** innovative drugs. With the rapid …

Seeds image analysis has become essential to preserve biodiversity. This is why
recognition and classification of plant species on the earth's planet is nowadays a great …

Anemia is a condition in which the oxygen-carrying capacity of red blood cells is insufficient
to meet the body's physiological needs. It affects billions of people worldwide. An early …