The early diagnosis of leaf diseases is essential for maintaining the health and yield of
crops. With advancements in deep learning and computer vision, transfer learning has …

The early diagnosis of leaf diseases is essential for maintaining the health and yield of
crops. With advancements in deep learning and computer vision, transfer learning has …

Plant diseases can sometimes be so bad that there is no grain harvest at all. Consequently,
there is a great need for automatic plant disease identification and diagnosis in the realm of …

Plant disease identification is critical for lowering output losses and guaranteeing food
security. This study looks at the use of four common transfer learning models for early plant …

Tomatoes are among the most important and widespread crops worldwide. The amount of
tomatoes produced varies according to the method of fertilization used. Leaf diseases are …

Abstract Deep Neural Networks in the field of Machine Learning (ML) are broadly used for
deep learning. Among many of DNN structures, the Convolutional Neural Networks (CNN) …

An estimated 15-25% of potential crop production in India is lost to pests, diseases and
weeds. Advanced technologies for the early detection of crop diseases are required to …

Plant diseases are a principal threat to the safety of food. In agriculture sectors, it is the
greatest challenge to identify plant diseases. The state-of-the-art Convolutional Neural …

Plant diseases have a detrimental impact on agricultural yield worldwide. Farmers that
detect diseases early and accurately can reduce crop losses by taking appropriate action …

The wide scale prevalence of diseases in agricultural crops affects both the production
quality and quantity of agricultural products at local to regional scale. More often than not …