Deep learning and machine learning are cutting-edge methods for analysing images that
have considerable potential. Artificial Neural Networks (A-NNs), one of the most well-known …

Economic strength of a country is highly depending on agriculture productivity. More number
of researches has been done based on detecting disease of plant by processing its leaf …

Categorizing plant diseases is crucial for ensuring agricultural production and food security.
In this research, we investigate two distinct methods for classifying plant diseases …

Food is one of life's vital resources that everyone needs in order to survive. But not everyone
is entitled to a nice meal every day. The World Health Organization estimates that two-thirds …

Agriculture industry is the foundation of Indian economy where quality fruit production plays
an important role. Apple or pome fruits are always in demand because of rich nutrients in it …

Detecting early signs of plant leaf diseases is vital in an agrarian economy. Automatic Leaf
disease recognition is extremely important because predictive mechanisms that aid in the …

Diseases in plants pose a major impact on the crop yield. They severely affect the quality
and quantity of agricultural crops. Therefore accurate detection of infection in plants in a …

In this paper, we proposed a novel plant leaf disease identification model based on a deep
convolutional neural network (Deep CNN). The Deep CNN model is trained using an open …

Rice is one of the most widely grown crop in China, Bangladesh, and India. Crop
productivity is eventually impacted by nutritional imbalances in plants, which affect their …

The agriculture sector is one of the major sectors in India. India is well known for the
production of various varieties of spices, fruits, vegetables, herbs, etc. Along with the …