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Shettar, Nitin
- Crop Yield Prediction Using IoT
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Authors
Affiliations
1 Department of ISE, Rashtreeya Vidyalaya College of Engineering, Bengaluru-560059, IN
1 Department of ISE, Rashtreeya Vidyalaya College of Engineering, Bengaluru-560059, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 10, No 5 (2018), Pagination: 126-128Abstract
Internet of Things (IoT) devices are used to communication between different things is effective. The application of IoT in agriculture industry plays a key role to make functionalities easy. Using the concept of IoT and Wireless Sensor Network (WSN), smart farming system has been developed in many areas of the world. Atmosphere, crop hereditary qualities, crop management (intensity as well as management skill level) and the substance and physical properties of soils have significant effects on crop yield soil conditions, especially change stunningly from farm to residence and field to field and conditions can contrast even inside an individual field.
Keywords
IoT, WSN, Precision Agriculture, Yield Prediction.
References
- LIU Dan, Cao Xin, Huang Chongwei, JI Liang Liang, “Intelligent agent greenhouse environment monitoring system based on IOT technology”, 2015 International Conference on Intelligent Transportation, Big Data & Smart City.
- Joseph Haule, Kisangiri Michael, “Deployment of wireless sensor networks (WSN) in automated irrigation management and scheduling systems: a review”, Science, Computing and Telecommunications (PACT), 2014, Pan African Conference.
- Weimin Qiu, Linxi Dong, Haixia Yan, Fei Wang, “Design of Intelligent Greenhouse Environment Monitoring System Based on ZigBee and embedded technology”, 2014 IEEE International conference.
- Yuan Guo, “The Application of a ZigBee Based Wireless Sensor Network in the LED Street Lamp Control System”, 2013, College of Automation & Electronic Engineering, Qingdao University of Scientific & Technology, Qingdao, China embedded technology, Consumer Electronics - China, 2014 IEEE International Conference.
- D.K. Sreekantha, Kavya A.M.. "Agricultural crop monitoring using IOT - a study", 2017 11th International Conference on Intelligent Systems and Control (ISCO), 2017.
- Piara Singh, N. P. Singh, K. J. Boote, S. Nedumarian, K. Srinivas, “Management options to increase groundnut productivity under climate change”, Anantapur, Mahboobnagar and Junagadh, 2015.
- Rakesh Kumar, M.P. Singh, Prabhat Kumar and J.P. Singh, “ Crop Selection Method to Maximize Crop Yield Rate using Machine Learning Technique” International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM),2015.
- Ramesh A Medar and Vijay S Rajpurohit “ A survey on Data Mining Techniques for Crop Yield Prediction” International Journal of Advance Research in Computer Science and Management Studies Volume(2) 2014.
- Ratchaphum Jaikla, Sansanee Auephanwiriyakul and Attachai Jintrawet, “Rice Yield Prediction using a Support Vector Regression method” , Proceedings of ECTI-CON 2008.