Abstract:

At present, more than 90% of the facilities in China are basic plastic greenhouses, the effect of artificial experience management is poor, and there is a lack of immediate scientific planting management technical guidance. In order to explore the intelligent planting management technology in the basic greenhouse,the intelligent planting platform for the strawberry basic greenhouse was constructed based on the internet of things technology (IoT). The platform includes expert planting standard, executive evaluation, expert Q&A, environmental perception and health diagnosis functions. It interacts with the computer platform through the user's WeChat. 24 hours monitoring-analysis-decision-control during the whole growth stage can be carried out for single strawberry. Compared with high-end intelligent greenhouses, the IoT system of this platform has no obvious difference between the monitoring-analysis-decision process, which is intelligently operated by the IoT system. Its characteristic advantage is that there is no need to spend high investment to deploy the automatic operation terminal. The management and control can be realized by replacing the automatic operation equipment with manpower, which can greatly reduce the deployment cost. After the application of the platform, the single basic greenhouse in the implementation area of the test project: the water use efficiency (WUE_y) of yield and (WUE_p) of output value increased by 128.55% and 226.42%, respectively; fertilizer consumption has decreased by 40%; the input cost of pesticide was reduced by 32.48%. According to the different growth stages of strawberries, the platform automatically issued the requirements of normal planting management standards to growers in the form of process sheets, and issued temporary disposal strategies to each grower based on environmental perception, so as to overcome the problems of insufficient knowledge and weak systematic management among strawberry growers in the past.

Key words: intelligent planting, internet of things, artificial intelligence, water use efficiency