Year: 2019
Type: conference-paper
Abstract: In order to study the intelligent early warning methods for vegetables in facilities agriculture, taking radish root disease as an example, early warning model of the decision tree was constructed through agricultural vegetable planting data. The model intelligently analyzes the temperature, humidity and soil conditions in the greenhouse and gives an early warning result. Finally, the model was tested and has good prediction results. This method has important practical significance for early warning of vegetable disease, reducing the use of pesticides, improving food safety and reducing soil pollution.
Authors: Fang Wu, Naixiang Li, JingJing Zhang, Shiyi Guo
Institutions: Tianjin Agricultural University, Tianjin University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W2920969732