Estimation of Agri-Produce Using Deep Learning and Smart Vision by Using Prominent Feature Extraction

Agriculture needs a very high degree of physical as well as financial support. It is also an important occupation for people all over the globe. Due to a lack of crop estimation, countries like India have various issues such as storage, transportation, selling of crops, etc. Accurate and early estimation of grains is essential for the farmers to easily manage all these problems. Estimating crop yields may be used for crop insurance, delivery management, storage requirements, and cash-flow budgeting. Farmers can benefit greatly from early and accurate crop yield predictions, which have completely changed how they approach their agricultural practices. The area of planning offers one of the biggest benefits. With accurate predictions of future crop yields, farmers can plan and make wise decisions. The best crop varieties should be chosen, planting and harvesting times should be optimized, and specialized cultivation methods should be used. The better allocation of resources is yet another benefit. Farmers can use labor, water, fertilizer, and other resources more effectively and minimize waste by having a clear understanding of the expected yields. Additionally, by enabling farmers to participate in crop insurance programs based on precise yield projections, early forecasts can help them manage financial risks. This paper represents a model based on AI and ML for easily estimating the production of crops before growing by analyzing the current weather conditions, location-wise soil conditions and seasons, etc. This prediction system will be able to predict the production of crops before harvesting.