Artificial Intelligence Applications in Soil & Crop Management

Abstract

Farming is the activity of preparing the soil for planting crops and raising livestock. A nation's economic development depends heavily on agriculture. Farming makes up nearly 60 percent of a nation's primary source of income. Farmers have so far used traditional farming methods. These methods took a lot of time and were not precise, which decreased productivity. By precisely identifying the steps that must be taken at the appropriate time of year, smart Farming helps to increase productivity. Precision farming includes a variety of techniques such as weather forecasting, soil analysis, crop recommendations, and calculating the necessary dosages of pesticides and fertilizers. Precise Farming gathers data, trains systems, and forecasts outcomes using cutting-edge technologies like the Internet of Things (IoT), Data Mining, Data Analytics, Machine Learning, and Deep Learning. Precise Farming boosts productivity by reducing manual labor with the aid of technology. Farmers have recently faced several difficulties, such as crop failure due to insufficient rainfall, soil fertility issues, and so forth. The proposed work assists in identifying the best practices for crop management and harvesting in light of the current environmental changes. It instructs someone on how to farm wisely. The purpose of this work is to assist a person in efficiently cultivating crops in order to maximize productivity. This would enable a person to plan their cultivation activities, resulting in an integrated farming solution.