In the last ten years, there has been an upsurge in focus on sustainable agribusiness as a
response to the bio-hazards posed by the effects of climate change, severe weather events …

Apple leaf diseases seriously affect the sustainable production of apple fruit. Early infection
monitoring of apple leaves and timely disease control measures are the key to ensuring the …

Plant disease is an important factor affecting crop yield. With various types and complex
conditions, plant diseases cause serious economic losses, as well as modern agriculture …

Plant disease detection has made significant strides thanks to the emergence of deep
learning. However, existing methods have been limited to closed-set and static learning …

Strawberry (Fragaria× ananassa Duch.) has been widely accepted as the “Queen of Fruits”.
It has been identified as having high levels of vitamin C and antioxidants that are beneficial …

The current methods, while in use, continue to grapple with accuracy and effectiveness
concerns. It is imperative to establish dependable solutions capable of distinguishing and …

Tomatoes are widely grown vegetables, and farmers face challenges in caring for them,
particularly regarding plant diseases. The MobileNet architecture is renowned for its …

Plant diseases can result in significant yield losses, posing a threat to food security and
economic stability. Deep neural networks, particularly Convolutional Neural Networks …

Red jujube is one of the most important crops in China. In order to meet the needs of the
scientific and technological development of the jujube industry, solve the problem of poverty …

Accurate detection of tea diseases is essential for optimizing tea yield and quality, improving
production, and minimizing economic losses. In this paper, we introduce TeaDiseaseNet, a …