Automated Infield Grapevine Inflorescence Segmentation Based on Deep Learning Models

Automated Infield Grapevine Inflorescence Segmentation Based on Deep Learning Models

Yield forecasting is of immeasurable value in modern viticulture to optimize harvest scheduling and quality management. Traditionally, this task is carried out through manual and destructive sampling of production components and their accurate assessment is expensive, time-consuming, and error-prone...

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Bibliographic Details
Main Authors: Germano Moreira, Sandro Augusto Magalhães, Filipe Neves dos Santos, Mário Cunha
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Biology and Life Sciences Forum
Subjects:
computer vision
digital phenotyping
object segmentation
precision viticulture
yield forecasting
Online Access:https://www.mdpi.com/2673-9976/27/1/35

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