Prediction of Crop and Intrusions Using WSN

Autor: S. Sangeetha, P. Sathya, M. K. Dharani, B. Gayathri devi, R. Dhivya
Rok vydání: 2015
Předmět:
Zdroj: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics ISBN: 9788132225287
DOI: 10.1007/978-81-322-2529-4_11
Popis: Nowadays, the major problem in the agriculture sector is stumpy crop production due to less number of workers in the farm and animal intrusion. The main objective is to improve the sustainable agriculture by enhancing the technology using wireless sensor technology. It uses Micro Electro Magnetic System which is used to measure temperature, humidity and moisture. The characteristic data obtained from the Wireless Sensor Network will be compared with the pre-defined data set in the Knowledge Base where historical data’s are stored. The corresponding decisions from the Knowledge Base are sent to the respective land owner’s mobile through SMS using radio frequency which has less power consumption. The sensors are co-ordinated using the GPS and are connected to the base station in an ad hoc network using WLAN. Another common issue is animal intrusion, especially in the places like Mettupalayam, Coimbatore, and Pollachi where elephants are destroying the crops. To protect the crops and common people, Seismic sensors are used to detect the footfalls of elephants in hilly areas. This sensor uses geophone to record the footfalls of elephants and immediately alert message is sent to the people.
Databáze: OpenAIRE