Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …

The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Plant diseases have a disastrous impact on the safety of food production, and they can
cause a significant reduction in both the quality and quantity of agricultural products. In …

Cardamom is a queen of spices. It is indigenously grown in the evergreen forests of
Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest …

Insect pests are one of the main factors affecting agricultural product yield. Accurate
recognition of insect pests facilitates timely preventive measures to avoid economic losses …

In this study, artificial intelligence and image recognition technologies are combined with
environmental sensors and the Internet of Things (IoT) for pest identification. Real-time …

Agricultural pests severely affect both agricultural production and the storage of crops. To
prevent damage caused by agricultural pests, the pest category needs to be correctly …

Crop diseases and insect pests are major agricultural problems worldwide, because the
severity and extent of their occurrence causes significant crop losses. In addition, traditional …

Computer vision (CV) combined with a deep convolutional neural network (CNN) has
emerged as a reliable analytical method to effectively characterize and quantify high …

Agriculture is one of the most important sources of income for people in many countries.
However, plant disease issues influence many farmers, as diseases in plants often naturally …