Application of Cloud Computing and Artificial Intelligence in Agriculture System

Abstract

Technical improvements are required for better growth and sustainability in today's age of severe market rivalry and uncertainty. The same is true for the agricultural industry. Agriculture is a major economic force in the country. While some countries adopt precision agriculture, breakthroughs in cloud computing and Artificial Intelligence (AI) technology are required to increase agricultural productivity. A key contributor to this increase is the growing number of individuals in need of services and products. Because of agricultural modernization, less labour and land are enough. Yield Produce, quality, and quantity are all important considerations for any farmer. The growing worry over water and the need for adequate farm maintenance practices are critical issues that must be handled with the utmost seriousness. To handle these issues, this study automates agricultural system operations by embedding cloud computing and AI technology in farming operations. This helps with the automatic turning on and off of the farm's water supply, which helps to reduce water waste, and it also provides suggestions to the farmers, whether they supply pesticides or not, which eliminates expert opinion. The suggested system is composed of two phases. The first AI model has been created, trained, validated, and deployed on the cloud. The accuracy and loss functions are used to validate the AI model. We'll use the LSTM as an AI model. Second, using sensors, collect soil data from the farm and transport it to the cloud for storage, analysis, and decision making. The data is compiled and presented in an easy-to-use smartphone app for farmers.