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Benefits of Implementing Smart Irrigation for Sugarcane Disease Prevention

Authors: Jagannath Kannale;

Benefits of Implementing Smart Irrigation for Sugarcane Disease Prevention

Abstract

{"references": ["1.\tRani, M. U., & Kamalesh, S. (2014, January). Web based service to monitor automatic irrigation system for the agriculture field using sensors. In 2014 International conference on advances in electrical engineering (ICAEE) (pp. 1-5). IEEE.", "2.\tKaewmard, N., & Saiyod, S. (2014, October). Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm. In 2014 IEEE Conference on Wireless Sensors (ICWiSE) (pp. 106-112). IEEE.", "3.\tChikankar, P. B., Mehetre, D., & Das, S. (2015, January). An automatic irrigation system using ZigBee in wireless sensor network. In 2015 International Conference on Pervasive Computing (ICPC) (pp. 1-5). IEEE.", "4.\tTarange, P. H., Mevekari, R. G., & Shinde, P. A. (2015, March). Web based automatic irrigation system using wireless sensor network and embedded Linux board. In 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] (pp. 1-5). IEEE.", "5.\tPujari, J. D., Yakkundimath, R., & Byadgi, A. S. (2014, December). Identification and classification of fungal disease affected on agriculture/horticulture crops using image processing techniques. In 2014 IEEE International Conference on Computational Intelligence and Computing Research (pp. 1-4). IEEE.", "6.\tRatnasari, E. K., Mentari, M., Dewi, R. K., & Ginardi, R. H. (2014, September). Sugarcane leaf disease detection and severity estimation based on segmented spots image. In Proceedings of International Conference on Information, Communication Technology and System (ICTS) 2014 (pp. 93-98). IEEE.", "7.\tKhirade, S. D., & Patil, A. B. (2015, February). Plant disease detection using image processing. In 2015 International conference on computing communication control and automation (pp. 768-771). IEEE.", "8.\tGuti\u00e9rrez, J., Villa-Medina, J. F., Nieto-Garibay, A., & Porta-G\u00e1ndara, M. \u00c1. (2013). Automated irrigation system using a wireless sensor network and GPRS module. IEEE transactions on instrumentation and measurement, 63(1), 166-176..", "9.\tKim, Y., Evans, R. G., & Iversen, W. M. (2008). Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE transactions on instrumentation and measurement, 57(7), 1379-1387.", "10.\tJury, W. A., & Vaux Jr, H. J. (2007). The emerging global water crisis: managing scarcity and conflict between water users. Advances in agronomy, 95, 1-76.."]}

Sugarcane is one of the major commercial crops of India. Sugarcane is widely cultivated by formers for its high profit margins. Sugarcane has many by-products. India is the second largest producer of the product sugarcane after Brazil. Sugarcane requires a lot of water for its cultivation and is very vulnerable to diseases such as fungal infections. In India, sugarcane is mainly cultivated in Uttar Pradesh. Sugarcane diseases are the main cause of losses in sugarcane production. If sugarcane is not properly cared for, it can cause serious damage to sugarcane plant, which in turn affects sugarcane product quality and quantity. By using some automatic technique, it is beneficial to reduce the amount of monitoring work in large forms of crop. In this paper, we are going to introduce an automated irrigation system. This system is based on a raspberry pi which is embedded in Linux board. In this system, there is a network of soil humidity, moisture and temperature sensors. When soil moisture reaches a certain valley, a message is sent to the owner, and an automatic water motor is turned on. If temperature and humidity reaches the specified valley, the owner can turn on or OFF the pesticide motor on their smart phone or on web page.

Keywords

Sensors, Web camera, Web Design, Sugarcane, Open CV, Qt, Pesticides Spray.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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