Smart farming using cloud-based Iot data analytics

• Published in: Measurement. Sensors Vol. 27; p. 100806
• Main Authors: Anil V. Turukmane, M. Pradeepa, K Shyam Sunder Reddy, R. Suganthi, Y.Md Riyazuddin, V.V Satyanarayana Tallapragada
• Format: Journal Article
• Language: English
• Published: Elsevier 01.06.2023
• Subjects: Analytics; Big data; Cloud data; Internet of things; Smart farming
• ISSN: 2665-9174; 2665-9174
• DOI: 10.1016/j.measen.2023.100806

The introduction of cutting-edge technologies like Internet of Things (IoT) detectors and drones, and farm surveillance, is transforming the farming sector in the Big Data era. Huge quantities of priceless agridata are generated by IoT systems, and cutting-edge application technologies enable the true collection and analysis of this information. This technological combination, referred to as “smart farming,” enables different agriculture-based players to analyze plants in real-time and enhance profitability and efficiency in farm and company activities with the least amount of work. Even though several precision agriculture methods have been developed by academics and businesses, it is sadly never possible to apply those strategies to all farms. A custom, semi-public big data processing infrastructure serves as the foundation for the majority of these applications. Throughout this article, we suggest WALLeSMART, a virtualized precision agriculture management system used in India's Wallonia. The framework presents a broad framework to handle the difficulties associated with collecting, analyzing, storing, and visualizing extremely huge volumes of information on a factual and batch basis. A first version has indeed been created and then pushed to the limit on several fields, with impressive outcomes.