Cloud Analytics based Farming with Predictive Analytics using Artificial Intelligence

Abstract

ImplementingData Analytics and Artificial Intelligence in Indian rural farms enhances crop productivity. Our system involves Real-time farm monitoring, Cloud data analytics, and a mobile application. We sense soil moisture, soil pH, light intensity and soil nutrient content from soil. In a cloud server, we perform predictive analytics on sensed data, soil type, landscape, climate, day-to-day market price, and farmer's economy. The system predicts suitable crops and fertilizers using Artificial Intelligence algorithms. The application also includes marketing and community platform. Marketing platform links vendors with farmers for selling crops for good price. Community platform provides guidance to the farmers by officials, experts, and other farmers. Collected data will be used in Big Data Analytics for further advancements. The system monitors the farm for 30 days either by drone or human agent for analysis. From the central stations, human agent transfers the sensed data. Information on climatic changes, natural calamities, and government schemes are provided. System furnishes storage places for crops, pesticides, and market prices of crops information. The main aspect is to provide better harvesting to increase crop productivity and good profit for farmers.