关键词: 精准灌溉, LoRa, 支持向量机(SVM), 马尔科夫(Markov)

Abstract: Aiming at the current problems of low irrigation efficiency, high labor intensity, and extensive management in blueberry orchards, a blueberry orchard precision irrigation system based on LoRa wireless longdistance communication and SVM-Markov combination model is designed. The system collects environmental parameters such as air temperature and humidity, soil humidity, illuminance, and wind speed in the blueberry garden through the LoRa wireless data acquisition system, and uploads the data packets to the cloud server through the LoRa gateway and the Internet of Things gateway, to realize irrigation volume prediction and irrigation decisionmaking, and feed back the decisionmaking results to the irrigation execution module. In order to improve the prediction accuracy, SVM-Markov algorithm was introduced. Taking blueberry Garden in Tianwang Town of Jurong City as the experimental object, the prediction results showed that the mean absolute error of SVM-Markov model was 0.188 7 mm/d, and the root mean square error was 0.239 4 mm/d. Compared with SVM model, the prediction accuracy of SVM-Markov model was higher and the data fitting effect was better. The system can realize realtime monitoring and precise irrigation of blueberry orchard environment, which provides a certain reference for the realization of precise irrigation in other orchards.

Key words: Keywords: 
precision irrigation, LoRa, SVM, Markov