Machine Intelligence, Big Data Analytics, and IoT in Image Processing

6Smart Irrigation and Cultivation Recommendation System for Precision Agriculture Driven by IoT

N. Marline Joys Kumari¹, N. Thirupathi Rao² and Debnath Bhattacharyya³*

¹ Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Sanghivalasa, Visakhapatnam, AP, India

² Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, AP, India

³ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India

Abstract

Agriculture is a distinct sector of the economy from the rest of the country’s economy. India is ranked second in the world for food production. Irrigation, fertilizer and crop rotation are the three most critical aspects of farming to consider. Farmers are unable to produce as much food as they could in the modern world due to advances in technology. The primary objective should be to maximize the usage and collaboration of new technology in agriculture. The relevant vector analysis (RVA) algorithm used for accurate farming of farming cultivation recom-mender and smart irrigation system initial module is called recommendations. It is divided into two sections: agricultural factors and vector models of importance. Precision agriculture enables farmers to manage irrigation in such a way that they consume less water while producing more food. By utilizing this system’s many sensors and forecasts, farmers can determine ...