INTELLIGENT SOYBEAN PRODUCTION MANAGEMENT METHOD AND SYSTEM

The present invention discloses an intelligent soybean production management method and system. Obtaining time series data of each production element (moisture, a pesticide, and a chemical fertilizer) input in a soybean production process; obtaining time series data of a production environment index...

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Bibliographische Detailangaben
Hauptverfasser:	Wang, Shengwei, Zhang, Yongen, Zhuang, Jiayu, Xu, Shiwei
Format:	Patent
Sprache:	eng
Schlagworte:	AGRICULTURE ANIMAL HUSBANDRY ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING 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 MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TARIFF METERING APPARATUS TESTING TRAPPING WATERING
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Beschreibung
Zusammenfassung:	The present invention discloses an intelligent soybean production management method and system. Obtaining time series data of each production element (moisture, a pesticide, and a chemical fertilizer) input in a soybean production process; obtaining time series data of a production environment index (light, soil temperature and humidity, and a soil nutrient), growth vigour, and a disease and pest situation of soybeans; training a long and short time memory recurrent neural network by using the time series data of the production environment index, the growth vigour, and the disease and pest situation of soybeans as input and by using the time series data of each production element input in the soybean production process as output; predicting input of each production element in the soybean production process; and managing soybean production according to the input of each production element predicted by using the long and short time memory recurrent neural network.