Intelligent decision-making method for water and fertilizer integrated irrigation

The invention relates to the technical field of irrigation, and provides a water and fertilizer integrated irrigation intelligent decision-making method, which comprises the following steps: collecting irrigation associated data, fertilization associated data and water and fertilizer general data; d...

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Main Authors LIN PING, WANG JING, WANG YANHUA, CHEN YONGHONG, ZHANG HUIMIN, YU XING, HAN WENGUANG, YAN JINYANG, BAI RUI, CAO QIZHANG, SHI WEIJIANG, ZHANG JINGXIAO, ZHANG XIAO, WANG AIBIN, LIU HUAIYU, YU XIANGYUAN, CHENG XIANGUO, JING MING, WANG YANMING, ZHOU LONGWEI, ZHANG ZHENGJUN, LYU WANG, ZHAO YONGLIANG, MA XIANGYANG, SONG JINGRU
Format Patent
LanguageChinese
English
Published 09.07.2024
Subjects
AGRICULTURE
ANIMAL HUSBANDRY
CALCULATING
COMPUTING
CONTROLLING
COUNTING
CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
FISHING
FORESTRY
HORTICULTURE
HUMAN NECESSITIES
HUNTING
PHYSICS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TRAPPING
WATERING
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Summary:The invention relates to the technical field of irrigation, and provides a water and fertilizer integrated irrigation intelligent decision-making method, which comprises the following steps: collecting irrigation associated data, fertilization associated data and water and fertilizer general data; determining a factor load coefficient table based on the irrigation time sequence matrix, the fertilization time sequence matrix and the water and fertilizer time sequence matrix by adopting factor analysis; determining a global factor score according to the difference of the significance degrees of the same factor in different data; determining a frequency variation abnormal factor based on the Fourier transform result of each data acquisition result and the global factor score of the Fourier transform result; determining an irrigation fuzzy index and a fertilization fuzzy index respectively based on the frequency variation abnormal factors of the irrigation associated data and the water and fertilizer general data
Bibliography:Application Number: CN202410395113