Predictive Analysis of Crops Cultivation for a Smart Green Environment Using Azure Services
Sujatha Rajkumar1, Arun. M2, Jagriti Hirwani3, Sirohi Sajal Sanjeev4
1Sujatha Rajkumar, Associate Professor, Department of Embedded Technology Lot and Sensors Specialization, VIT Institute of Technology, Vellore (Tamil Nadu), India.
2Arun. M, Associate Professor and Head, Department of Embedded Technology Lot and Sensors Specialization, VIT Institute of Technology, Vellore (Tamil Nadu), India.
3Jagriti Hirwani, Student, Department of Embedded Technology Lot and Sensors Specialization, VIT Institute of Technology, Vellore (Tamil Nadu), India.
4Sirohi Sajal Sanjeev, Student, Department of Embedded Technology Lot and Sensors Specialization, VIT Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 06 February 2019 | Revised Manuscript received on 19 February 2019 | Manuscript Published on 04 March 2019 | PP: 295-298 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2051017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of Things is a pervasive field and can be efficiently implemented in the agriculture sector. Internet of things can revolutionize the world today making it more efficient and smart. Agriculture is very essential in a country and integrating it with Internet of things (IoT) technology can take automation in agriculture to a whole another level. Ever increasing population brings with an increase in demand for food and to sustain the farming must be made more productive. IoT enhances the agricultural productivity by providing the farmer with information about soil moisture, temperature, humidity and acidity of the soil. This research work implements a practical system which deals with monitoring the crop field through a wireless network of sensors (light, humidity, temperature, soil moisture, water level indicator etc.) along with automating the irrigation system based on several field constraints. The farmers can monitor the farm conditions through a web app from anywhere, anytime and receive timely notification about the changes in the farm. This makes IoT based farming highly efficient when compared with the conventional cultivation approach. IoT technology and predictive data analytics can be used to enhance the agricultural productivity by providing the farmer, information about soil moisture, temperature, humidity and acidity of the soil. In IoT-based farming, the crops are monitored with the help of light, humidity, temperature, soil moisture and Ultrasonic sensors along with automating the irrigation system. Even in case of environmental issues, IoT based farming provides great benefits like more efficient water usage and optimization of fertilizers and plant treatments. The article aims in making use of IoT technology for smart agriculture. ThingSpeak Math works IoT platform is used for analyzing and presenting agriculture fields sensor data. The major objective of this paper is to collect real-time sensor data of a green environment and make predictions on crops cultivation pattern based on the weather condition through MS Azure IFTTT services.
Keywords: Internet of Things, Smart Agriculture, Cloud Computing, IFTTT, Wireless Sensor area Network, Thing Speak Cloud, Azure Web App.
Scope of the Article: Predictive Analysis