Food is a basic human need that is indispensable. The population of the world is increasing
daily, making it crucial to produce sufficient food to sustain such a large populace. However …

A technique to determine diseases in agricultural crops from leaf images using deep
convolutional neural networks is proposed. 12 different diseases in potato, tomato and bell …

Smart Farming with the transformative potential of Artificial Intelligence has emerged as a
promising breakthrough in enhancing the agricultural productivity. The rapid in …

For several decades, plants have demonstrated to be an effective assessment of human life
in a variety of fields. Plant pathogens are currently wreaking havoc on our farming sector. As …

In today's environment, Machine Learning has the potential to make huge strides toward
making life better for everyone in the horticulture sector. Disease identification and …

Agriculture is the major for the people in India, where the loss of irrigation is due to
deficiency in plants. This project is to identify the nutrient deficiency in plants like calcium …

Automated methods intended for image classification have become increasingly popular in
recent years, with applications in the agriculture field including weed identification, fruit …

The world's most important crop, paddy, provides nourishment for hundreds of millions of
people. However, the area is frequently afflicted with various illnesses, which can …

The main motive of this project is “to create a website for the farmers to get a better crop,
fertilizer recommendation, and plant disease prediction”. The Open Weather API is used to …

Leaf disease prediction is an important problem in agriculture because it impacts crop yield
and quality. It is feasible to reliably predict leaf detection uses in machine learning and …