Field intelligent irrigation system

• Main Authors: LU XINGDA, YAO YAO, PENG JINCHAO, WU CHANGHONG, LIU ZONGQIANG, LIANG XINYUE, HUANG ZHENPING, HUANG KAI, SHAO JINHUA, HUANG XUSHENG, LIN XUEJIA, CHEN CHUN, DING CAN, GUO JINCHUAN, MAN ZHIQIANG
• Format: Patent
• Language: Chinese; English
• Published: 09.05.2023
• Subjects: AGRICULTURE; ANIMAL HUSBANDRY; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; FISHING; FORESTRY; HORTICULTURE; HUMAN NECESSITIES; HUNTING; PHYSICS; PICTORIAL COMMUNICATION, e.g. TELEVISION; SELECTING; TRAPPING; WATERING

The invention discloses a field intelligent irrigation system which comprises a data acquisition system, a data processing system and an irrigation unit. The data acquisition system comprises a soil monitor, an image collector and an environment monitor; 1-2 meteorological monitoring devices are also arranged in the irrigation area; the data processing system comprises a first data transceiving module, a first central processing unit, a remote sensing data processing module, a data storage module, a deep learning network module and an evapotranspiration data processing module; the remote sensing data processing module comprises a remote sensing data preprocessing module, a remote sensing data screening module and a data fusion processing module; the deep learning network module carries out training by reading the data information in the data storage module, and establishes a prediction model for predicting the water amount required by different crops in different growth stages. According to the method, remote