Published Paper Details:

For a very long time, it has been believed that the primary source of supplies for supplying people's basic needs has been agriculture. It is recognised as both a necessary kind of employment and a significant industrial sector in India. In order to maintain a healthy diversity, farmers should engage in traditional naked eye observation and produce healthy crops without using pesticides on their cultivation field or on the animals that eat such products. Farmers are assisted by a variety of machine learning algorithms in their agricultural processes. Systems like soil categorization, crop forecasting, disease detection, and feltilizer recommendation are created to make farming easier. To obtain a high degree of accuracy for the suggested approaches for disease prediction, crops prediction and soil classification, machine learning algorithms like SVM, kNN, and decision trees are utilised. Use of IoT in agriculture includes water sprinklers, drones, robots, livestock management, smart greenhouse, etc.