Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …

For decades, vision scientists have contemplated the topic of plant species classification. As
plants are of great importance to medicinal research, they are utilized in a wide range of …

Rice paddy diseases significantly reduce the quantity and quality of crops, so it is essential
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …

Crop diseases are caused by pests, insects, and pathogens, and if not promptly handled,
they significantly reduce the yield. Farmers are losing money because of different crop …

Global warming is a challenge for plants and pathogens, involving profound changes in the
physiology of both contenders to adapt to the new environmental conditions and to succeed …

Diagnosing plant diseases is a challenging task due to the complex nature of plants and the
visual similarities among different species. Timely identification and classification of these …

In this study, we refine in vitro propagation techniques for Camellia sinensis using a
machine learning approach to ascertain the influence of different shooting and rooting …

Global warming is a challenge for plants and pathogens, involving profound changes in the
physiology of both contenders to adapt to the new environmental conditions and to succeed …

Global warming is a challenge for plants and pathogens, involving profound changes in the
physiology of both contenders to adapt to the new environmental conditions and to succeed …

Plant diseases can significantly reduce crop yields, quality, and profitability, which can have
serious consequences for farmers, food security, and the economy. The prompt and precise …