Digital detection method and system for predicting drug resistance of transgenic maize

A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel...

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Bibliographische Detailangaben
Hauptverfasser:	Zhang, Jinnuo, He, Yong, Feng, Xuping, Tao, Mingzhu, Yang, Rui, Shi, Yongqiang
Format:	Patent
Sprache:	eng
Schlagworte:	AGRICULTURE ANALOGOUS ARRANGEMENTS USING OTHER WAVES ANIMAL HUSBANDRY APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUSPLANTS CALCULATING CATCHING, TRAPPING OR SCARING OF ANIMALS COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING TRAPPING WATERING
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Beschreibung
Zusammenfassung:	A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel ratio and morphological feature according to the RGB image and three-dimensional point cloud data; inputting a detection parameter of the maize plant at the current moment into a series model to predict the detection parameter of the maize plant at a next moment to obtain a graph of change in the detection parameter in a next period; estimating a drug resistance characteristic according to the graph of the change in the detection parameter of the maize plant; and inputting the detection parameter of the maize plant at the current moment into a parallel model to predict the variety of the maize plant.