Precision Agriculture Science and Technology ISSN:2672-0086(Print) 2713-5632(Online) 정밀농업과학기술

Efficient agriculture is being emphasized due to the increase in the global population and the decrease in agricultural-related workers. Due to a desire to boost productivity and a dearth of available laborers, smart agriculture is receiving a lot of attention. In particular, artificial neural network technology with customized IoT devices is preferred for maximizing productivity and efficiency. Predicting yields and automatic control of environment are made possible by training machine learning models with different data combinations. Technologies like autonomous greenhouse climate management and disease and pest detection and prediction help farmers reduce crop losses by taking over for human limitations. Therefore, the purpose of this article was to explore applications of smart protected horticulture using artificial neural networks. These cases were studied through greenhouse monitoring and control systems, as well as greenhouse pest detection and disease prediction.