A method for monitoring crop growth by analyzing spectroscopic images through remote sensing

The present invention relates to a method for predicting a harvest period through estimation of a growth period, a state of growth, and a maturity period by analyzing unique chloroplast content in a leaf and an average color (wavelength) by physical characteristics of the leaf by pixel. 본 발명은 인공위성 혹...

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Bibliographische Detailangaben
Hauptverfasser:	SONG JIN YOUNG, NAM SANG JUNE
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	AGRICULTURE ANIMAL HUSBANDRY CALCULATING COLORIMETRY COMPUTING COUNTING CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT MEASURING PHYSICS RADIATION PYROMETRY TESTING TRAPPING WATERING
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Beschreibung
Zusammenfassung:	The present invention relates to a method for predicting a harvest period through estimation of a growth period, a state of growth, and a maturity period by analyzing unique chloroplast content in a leaf and an average color (wavelength) by physical characteristics of the leaf by pixel. 본 발명은 인공위성 혹은 무인기로부터 얻은 영상으로부터 잎에서 나타나는 고유의 엽록체 함량과 잎의 물리적인 특성에 의한 평균적인 색 (파장)을 화소별로 분석하여, 성장주기, 생육상태, 및 성숙시기 추정을 통한 수확시기를 예측하는 방법.