Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

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 …

In the field of agricultural information, the automatic identification and diagnosis of maize leaf
diseases is highly desired. To improve the identification accuracy of maize leaf diseases and …

The latest generation of convolutional neural networks (CNNs) has achieved impressive
results in the field of image classification. This paper is concerned with a new approach to …

Human activities significantly contribute to worldwide spread of phytopathological
adversities. Pathogen-related food losses are today responsible for a reduction in quantity …

Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …

Volatile organic compounds (VOCs) released by plants serve as information and defense
chemicals in mutualistic and antagonistic interactions and mitigate effects of abiotic stress …

Soybean (Glycine max L. Merrill) is an economically important commodity for United States
agriculture. Nonetheless, the profitability of soybean production has been negatively …

Aim To describe the patterns and trends in the spread of crop pests and pathogens around
the world, and determine the socioeconomic, environmental and biological factors …

According to studies, the human population would cross 9 billion by 2050 and the food
demand would increase by 60%. Therefore, increasing and improving the quality of the crop …