Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant
stress symptoms, yet data analysis remains a key challenge. Data challenges include …

Avocado is one of the most commercialized and profitable fruits in the international market.
Its cultivation and production are centered in countries characterized by tropical and …

The accurate segmentation of apple leaf disease spots is the key to identifying the
classification of apple leaf diseases and disease severity. Therefore, a DeepLabV3+ …

In the era of advancing artificial intelligence (AI), its application in agriculture has become
increasingly pivotal. This study explores the integration of AI for the discriminative …

Infestations or parasitism by forestry pests can lead to adverse consequences for tree
growth, development, and overall tree quality, ultimately resulting in ecological degradation …

Sorting seedlings is laborious and requires attention to identify damage. Separating healthy
seedlings from damaged or defective seedlings is a critical task in indoor farming systems …

Leaf Rusting Disease in coffee plants is a severe agricultural issue that affects the growth of
plants and the production of crops. Coffee farming is a highly organized agricultural industry …

Maize is widely cultivated and planted all over the world, which is one of the main food
resources. Accurately identifying the defect of maize seeds is of great significance in both …

Hydroponic lettuce was prone to pest and disease problems after transplantation. Manual
identification of the current growth status of each hydroponic lettuce not only consumed time …

Agriculture is pivotal in Bangladesh, with maize being a central crop. However, leaf diseases
significantly threaten its productivity. This study introduces deep learning models for …