Agriculture is crucial to the growth of every country's economy. Due to population growth,
unpredictable weather, and a lack of available resources, meeting the world's food needs …

Mosaic, early blight, late blight, Septoria virus, leaf mold, Brown spot, and spider mite are the
nine common types of tomato leaf diseases. The early and accurate analysis of tomato leaf …

A local-based image augmentation method to cooperate with convolutional neural networks
for plant leaf disease classification is proposed. There are three processes of the diseased …

Farming can be made more productive and accurate with the help of technologies like IOT.
IOT can be used in different domains of farming or agriculture. The area of implementation of …

Machine learning (ML) technology is a learning technology that is developing yearly,
especially in scientific fields, for example, biochemistry [1],[2], meteorology [3],[4], economics …

Currently, the detection of plant diseases relies heavily on manual observation, which is time-
consuming and susceptible to inaccuracies. To address the significant threat posed by plant …

Excessive yield losses are due to delayed identification of leaf diseases, resulting in lower
farmer revenue. To address this, early and precise detection methods are crucial. Sunflower …

Crop disease is a major factor in the agriculture sector. To get great quality and quantity of
crop, checking on the plant condition is the most important factor. Identifying the problems …

The rapid evolution of remote sensing technologies has transformed the monitoring of plant
health, providing crucial insights for precision agriculture and environmental management …

This paper mainly concentrates and discusses on sugarcane crop, the variety of cane seeds
available for sowing; various cane diseases and its early detection using different …