Authors : Ayushi Rathore, Vatsal Sharma, Shreyas Nanaware and Anita Sahoo
Abstract: Greenhouse is an artificial environment where parameters like soil moisture, temperature, humidity and light intensity are monitored and controlled for the proper development of crops. Monitoring and controlling of crops can be improved by using the technologies like IoT and fuzzy logic. This study presents architecture of a greenhouse monitoring and controlling system using a cooperative neuro-fuzzy system where self organizing map is used to extract optimal rules from a recurrent fuzzy neural network. The study describes the way in which data is captured from the sensors related to greenhouse environmental conditions by using the concept of IoT and the learned fuzzy system is used to analyze and make effective decisions.
Ayushi Rathore, Vatsal Sharma, Shreyas Nanaware and Anita Sahoo, 2017. Effective Greenhouse Monitoring and Controlling Using Recurrent Fuzzy Neural Network. Journal of Engineering and Applied Sciences, 12: 8574-8578.