METHOD FOR ESTIMATING BRIX DEGREE OF CITRUS USING CLIMATE INFORMATION DEVICE AND COMPUTER READABLE MEDIUM FOR PERFORMING THE METHOD

METHOD FOR ESTIMATING BRIX DEGREE OF CITRUS USING CLIMATE INFORMATION DEVICE AND COMPUTER READABLE MEDIUM FOR PERFORMING THE METHOD

According to one embodiment of the present invention, provided is a method for estimating a brix degree of citrus using climate information which periodically collects a measurement value representing the brix degree of the citrus and temperature data for each measurement value collection point, cor...

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Bibliographische Detailangaben
1. Verfasser: KANG HYUNG CHANG
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:According to one embodiment of the present invention, provided is a method for estimating a brix degree of citrus using climate information which periodically collects a measurement value representing the brix degree of the citrus and temperature data for each measurement value collection point, corrects a measurement value based on the temperature data to generate a brix degree calibration curve by using the corrected measurement value for each time period, estimates the brix degree of the citrus to be estimated by using the brix degree calibration curve, and, accordingly, estimates the brix degree at a harvest time based on a brix degree value measured during a growing process of the citrus. 본 발명의 일 실시예에 따른 기상정보를 이용한 감귤 당도 예측 방법은, 감귤의 당도를 나타내는 측정값 및 각각의 측정값 수집 시점에 대한 온도 데이터를 주기적으로 수집하고, 온도 데이터를 기초로 상기 측정값을 보정하여 보정된 시간별 측정값을 이용하여 당도 검량선을 생성하며, 당도 검량선을 이용하여 예측대상 감귤의 당도를 예측할 수 있으며, 이에 따라 감귤의 생장 과정에서 측정되는 당도값을 기초로 수확 시점의 당도를 예측할 수 있다.