Modeling and prediction of below-ground performance of agricultural biological products in precision agriculture

A below-ground agricultural biological performance modeling approach in precision agriculture combines customized field modeling with machine learning techniques for environmental matching of variables to describe a below-surface soil state, to understand and predict the performance of soil-active a...

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Bibliographische Detailangaben
Hauptverfasser:	Mewes, John J, Hale, Robert C
Format:	Patent
Sprache:	eng
Schlagworte:	AGRICULTURE ANALOGOUS ARRANGEMENTS USING OTHER WAVES ANIMAL HUSBANDRY CALCULATING 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 ELECTRIC DIGITAL DATA PROCESSING FERTILISING FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL PHYSICS PLANTING RADIO DIRECTION-FINDING RADIO NAVIGATION SOIL WORKING IN AGRICULTURE OR FORESTRY SOWING TESTING TRAPPING WATERING
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Beschreibung
Zusammenfassung:	A below-ground agricultural biological performance modeling approach in precision agriculture combines customized field modeling with machine learning techniques for environmental matching of variables to describe a below-surface soil state, to understand and predict the performance of soil-active agricultural biological products such as bio-pesticides, bio-stimulants, plant growth regulators, and other biologically-derives soil adjuvants. The modeling approach characterizes the influence of environmental relationships on the performance of such soil-active agricultural biological products to develop a suite of predictive models to provide notifications, advisories, and recommendations for appropriate products for individual fields.