Analysis on Mangoes Weight Estimation Problem using Neural Network

In the food industry, most fruit species are D bounding box of the mangoes and the Monte Carlo evaluated based on many qualifications, among which weight is Integration [5] to calculate the approximation of a solid one. Various methods and approaches to weight estimation object whose surface area is...

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Main Authors: Dang, Nhan T., Vo, Minh-Thanh, Nguyen, Tuan-Duc, Dao, Son V.T.
Format: Conference Proceeding
Language:English
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Connection Weights
Inputs Contribution
Mangoes Weight Estimation
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Vo, Minh-Thanh
Nguyen, Tuan-Duc
Dao, Son V.T.
description In the food industry, most fruit species are D bounding box of the mangoes and the Monte Carlo evaluated based on many qualifications, among which weight is Integration [5] to calculate the approximation of a solid one. Various methods and approaches to weight estimation object whose surface area is known [6]. have been done using both 2-D and 3-D image analysis Fig. 2. The principal axes of bounding box [2] techniques. In Vietnam, the application of these approaches will bring tremendous benefits to the agriculture industry by automating the sorting process for exporting fruit to foreign countries. This paper will present an analysis of the performance contributions of the different geometric parameters to the weight estimation process, with the target fruit being Hoa Loc mango.
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subjects Connection Weights
Inputs Contribution
Mangoes Weight Estimation
title Analysis on Mangoes Weight Estimation Problem using Neural Network
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