A Multiple Criteria-Based Context-Aware Recommendation System for Agro-Cloud

In the hierarchy of developing countries, India has been on a predominant position in terms of food production, and agriculture has been a backbone of the country. But with food production, food security and distribution, advanced farming techniques, recent technological advances in Cloud Computing has great significance in many industry areas including the agricultural sector. Utilization of Cloud Computing technology in an agricultural sector enhances the overall growth of the country. The cause of low productivity and less profit to the farmers in India are crude methods used by farmers compared to farmers well equipped with tech. In this paper, we have proposed effective recommendation system for management of farms can recommend the farmers to make suitable decisions. This proposed system that uses the Cloud Computing technology to make system available anywhere and anytime. The proposed model contains multiple criteria such as soil type, soil fertility, and nutrients, water needed, and sunlight intensity required for recommendation as single criteria is not enough for recommendation. So, the proposed system will use these multiple criteria for effective recommendation and increase the productivity.