Sensor Based Smart Farming and Plant Diseases Monitoring
Tarannum U. Pathan1, Saurabh Chakole2
1Tarannum U. Pathan, Department of Electronics and Communication Engineering, Priyadarshini Bhagwati College of Engineering Nagpur (Maharashtra), India.
2Saurabh Chakole, Department of Electronics Engineering, Yeshwantrao Chavan College of Engineering Nagpur (Maharashtra), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 05 May 2019 | PP: 442-446 | Volume-8 Issue-2S2, May 2019 | Retrieval Number: B10920182S219/19©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: In India, farming is the primary source of income in almost all villages. Depending upon the weather conditions and availability of power supply, farming systems in India are strategically utilized .With the acute water crisis being faced by our country and the depleting water level, farmers now face optimum water management issues. Power supply to farmers is untimely and not reliable, nearly one-fifth of India’s rural households still remain in acute darkness. The proposed system mitigates and provides a cost effective solution to address these issues. The system detects the water requirement of the soil based on soil moisture, temperature and humidity sensors. A threshold water level is set based on the plant type to automate the motor on/off operations. This is a convenient and affordable system which detects the supply voltage to automatically control motor operations. This system detects the phase voltage by using a phase detection circuit and sends a message to the farmer regarding availability of power supply. By using above sensors this system can also be tuned for disease monitoring. It also consists of a look up table which provides early stage plant disease prediction based on disease monitoring. ARM-7 LPC2148 is used which works on 3.3V power supply. The proposed model provides optimum use of resources for irrigation, reduces water requirement and helps to increase the crop yield.
Keywords: ARM 7, Automated Irrigation, Disease Monitoring, GSMSIM 800, Optimum Irrigation.
Scope of the Article: Smart Sensors and Internet of Things for Smart City