Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …

Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …

Traditional target detection methods cannot effectively screen key features, which leads to
overfitting and produces a model with a weak generalization ability. In this paper, an …

Potato disease management plays a valuable role in the agriculture field as it might cause a
significant loss in crops production. Therefore, timely recognition and classification of potato …

Plant diseases are considered one of the main factors influencing food production and
minimize losses in production, and it is essential that crop diseases have fast detection and …

Recently, plant disease classification has been done by various state-of-the-art deep
learning (DL) architectures on the publicly available/author generated datasets. This …

Anthracnose, brown spot, mites, black rot, downy mildew, and leaf blight are six common
grape leaf pests and diseases, which cause severe economic losses to the grape industry …

With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

With the enhancement in agricultural technology and the use of artificial intelligence in
diagnosing plant diseases, it becomes important to make pertinent research to sustainable …

Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …