IoT and Big Data Framework for Paddy Cultivation

Abstract

Agriculture needs agriculturists to adopt digital in terms of low cost data acquisition from Soil, Weather and water related resources through drones, satellites, sensors and weather stations where in data sources are different, unstructured, volume and veracity of data generated is also huge which poses as a big data problem to solved. Agriculture is the backbone of India and being the largest paddy producer in the world. TamilNadu alone contributes at 7% of the overall paddy cultivation. The key aspect of TamilNadu paddy cultivation is 90% of its farmers belong to the small and medium size category. It's important for farmers who are producing paddy to be equipped with the technology advancements in a simple and effective manner to manage better way of irrigation in terms of water management, improving yield and efficient use of fertilizer and pesticides. Due to inherent nature of large area involved and complex eco system involved paddy cultivation have been always posing challenges in new technology adoption in terms of data acquisition, processing and reporting and lacks easy to follow contextual framework technologists to adopt. This paper would discuss on the infrastructure, technology and big data aspects for paddy cultivation by qualitative research methods. The research would involve identification of the appropriate contextual framework through architectural means and algorithm which would help in sensor deployment strategy. At the end the paper would develop a framework for approaching the IoT and Big Data in paddy cultivation. The framework would outline the architecture components, protocols, communication interfaces which could be leveraged for paddy cultivation. Apart from this the framework also discusses the Wireless sensor network deployment and its key aspect such as coverage in the paddy fields

Evaluation of Automatic Irrigation System for Rice Cultivation and Sustainable Agriculture Water Management

“…In particular, agricultural water in Korea is provided free of charge, and the efforts made by farmers to save water are insufficient. Moreover, the increase in labor wages for agricultural activities negatively affects farmer income [19]. For sustainable irrigation water supply practices in rural areas, a system for supplying agricultural water is being automated using Internet of things (IoT) sensors and images.…”