Abstract
To realize the real-time remote monitoring of the jujube orchard environment and the prediction of irrigation amount, an intelligent irrigation system was designed in this study by using sensors, Internet of Things (IoT), and backpropagation (BP) neural network. In this system, the jujube tree is taken as the test object, the meteorological data are used as the model feature input vector, the BP neural network prediction model is used to predict the water demand of the crop, and data visualization monitoring and remote control of the irrigation switch are realized using the IoT platform and mobile terminal platform.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
