Crop Recommendation and Prediction System
Ch. Rakesh D, Vishnu Vardhan, Babu Bhavani Vasantha, G. Sai Krishna
Abstract
Agriculture is a major driver of India's economic development and jobs. Worldwide, agricultural research has bolstered profit optimization and is a significant and large field to acquire more advantages. There are innumerable people who own land today, but they have no idea how to produce food. Everyone can only succeed in the future through agriculture. Most people practice unproductive agriculture because they grow crops on subpar soil. India's farmers frequently select crops that are not suitable for their soils, which reduces production. By providing the proper crops, precision agriculture has addressed this issue for farmers. Based on the state of the soil. In India, which is regarded as an agricultural nation, there are various ways to offer advice. The advice given today is based on communications amongst farmers and draws on knowledge from a number of sources. Precision farming is a cutting-edge farming method that offers the best crop to farmers based on site-specific criteria after collecting and analyzing data on soil properties, soil types, and crop production. By doing this, the likelihood of picking the incorrect crop is decreased, and productivity is raised. This structure is said to be able to forecast the ideal crop for the agronomist's region. Additionally, recommendations are offered for a variety of farming techniques and tactics, such as crop diversity, crop spacing, irrigation, sow processing, etc. as well as advice on pesticides and fertilizers. They are founded on previous soil indices. cost projections for crops and the weather. You will be able to determine the sorts of soil, the water source on that property, and what crop you should grow with this application. Additionally, you will be able to recommend which crops will thrive in that soil. Therefore, the application offers details about those who work in agriculture. For instance, we can identify the crop that will grow best given the soil, the climate, the temperature, etc. As a result, machine learning is used to determine the crop for each soil. Farmers can receive advice on what crop to plant and what fertilizer to use based on historical data from agricultural operations. Based on your previous agricultural actions, this tool can also be used to boost crop yields and suggest that you plant particular crops.