Guangxi camellia oleifera yield estimation method based on measured data

• Main Authors: HUANG JIMAO, ZU XIAOFENG, DAI WEIXU, GUO JIANWEI, CHEN KEWEN
• Format: Patent
• Language: Chinese; English
• Published: 08.09.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the technical field of deep learning, and discloses a Guangxi camellia oleifera yield estimation method based on measured data, comprising the following steps: step S101, collecting five camellia oleifera tree images of a camellia oleifera tree; step S102, constructing a prediction model; s103, inputting the camellia oleifera fruit tree image into the prediction model, outputting a coordinate point of a node coding feature vector mapped to a two-dimensional coordinate system, generating a coordinate point fitting curve, and searching the total number of peak points of the fitting curve as the number of camellia oleifera fruits; step S104, calculating the average number of camellia oleifera fruits of the camellia oleifera fruit trees in the planting area to be subjected to yield estimation; s105, calculating the average yield of the camellia oleifera fruit trees to be subjected to yield estimation according to the average number of camellia oleifera fruits of the camellia oleifera frui