In the era of frequently changing climatic conditions along with ever increasing world
population, it becomes imperative to ensure food security. The burden of biotic stresses …

As one of the necessary cash crops in China and many other countries, wolfberry is
parasitized by multiple pests, and its yield is highly susceptible to being affected. On the …

Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring
both nutrition and economic stability in diverse communities, particularly in Africa and Latin …

The olive tree is affected by a variety of diseases. To identify these diseases, many farmers
typically use traditional methods that require a lot of effort and specialization. These methods …

In the agricultural sector, identifying plant diseases at their earliest possible stage of
infestation still remains a huge challenge with respect to the maximization of crop production …

Ensuring the quality and yield of rice depends heavily on the accurate identification of early-
stage rice diseases. Existing models face significant challenges in balancing lightweight …

Wheat leaf diseases are considered to be the foremost threat to wheat yield. In the realm of
crop disease detection, convolutional neural networks (CNNs) have emerged as important …

Early detection of plant diseases is critical to prevent disease spread and assist farmers.
Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based …

Agriculture plays a significant role in meeting food needs and providing food security for the
increasingly growing global population, which has increased by 0.88% since 2022. Plant …

Sunn pest (Eurygaster integriceps put.) causes severe damage to wheat fields annually,
reducing production by up to 50%. Rapid identification of pest concentration points and …