Agricultural vegetable growth detection method and system based on artificial intelligence

The invention discloses an agricultural vegetable growth detection method and system based on artificial intelligence. The method comprises the steps of environmental parameter collection, vegetable feature extraction, disease and pest detection, multi-label classification labeling and vegetable gro...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: JING WEIMING, WANG GANG, XIE WEIDONG, CHEN YONGLI, HAN GENSUO, XING ZENONG, ZHANG AI, ZHAO BAOPING
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The invention discloses an agricultural vegetable growth detection method and system based on artificial intelligence. The method comprises the steps of environmental parameter collection, vegetable feature extraction, disease and pest detection, multi-label classification labeling and vegetable growth general detection. The invention belongs to the technical field of agricultural information, and particularly relates to an agricultural vegetable growth detection method and system based on artificial intelligence. According to the scheme, a wireless sensor based on the narrowband Internet of Things is adopted to obtain environmental parameters in real time; a YOLOv5-VE model of a lightweight network structure is adopted as a disease and pest detection model, and a self-adaptive knowledge extraction method is used for model optimization; constructing a multi-label vegetable classification model to carry out multi-label classification labeling, and recording comprehensive growth states of agricultural vegetable