Plant diseases are a major threat to global food security. Infection of plants by pathogens
can have serious consequences on plant health which inherently affects human health. With …

Automatic classification process in images has been used in many fields, especially
agriculture and medical fields in recent years. Especially in our country, image processing …

Convolutional Neural Network is the base of all deep learning models. Therefore a
Convolutional Neural Network model is created and developed to perform plant disease …

A country's inventive growth is dependent on the agricultural sector. Agriculture, the
foundation of all nations, offers food and raw resources. Agriculture is hugely important to …

The prediction of the growth in population will be 7.2 billion to 9.6 billion in year 2100. To
meet the demands of food from agriculture, we have to move fast to smart agriculture. We …

Day-by-day the cultivation of plants and albumen are increased speedily in order to fulfill the
demand of human being and all the animals in this universe. Recently, the production rate of …

The diagnosis of leaf diseases depict a wide range of information about the crop status.
Diagnosis plays a very crucial ro le on the amount of resources available the farmt It gets …

Smart farming system using necessary infrastructure is an innovative technology that helps
improve the quality and quantity of agricultural production in the country including tomato …

Nowadays the grain food demand is increasing due to population increase. Rice is one of
the essential foods for half of the world's population. In India most of the farmer struggled to …

Crop diseases are a major threat to food security, but due to lack of infrastructure this area
remains untouched. We are proposing a system based on IoT and Deep Learning. This …