An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation-Reference-Cited by-同舟云学术

An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation

Published:2024 Issue: Volume:12 Page:102146-102166
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmedt-Aristizabal David¹^ORCID,Smith Daniel²^ORCID,Khokher Muhammad Rizwan¹^ORCID,Li Xun¹,Smith Adam L.³,Petersson Lars¹,Rolland Vivien³^ORCID,Edwards Everard J.³^ORCID

Affiliation:

1. Imaging and Computer Vision Group, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT, Australia

2. Spatio-Temporal Analytics Team, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT, Australia

3. Department of Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT, Australia

Funder

Department of Agriculture, Water and the Environment through their Rural Research and Development for Profit Scheme and Wine Australia

CSIRO Machine Learning and Artificial Intelligence Future Science Platform

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10604813.pdf?arnumber=10604813

Reference115 articles.

1. Copula-based probabilistic assessment of intensity and duration of cold episodes: A case study of Malayer vineyard region

2. Final report to grape and wine research and development corporation;Clingeleffer,2001

3. Early Yield Estimation in Viticulture Based on Grapevine Inflorescence Detection and Counting in Videos

4. Vineyard Yield Estimation, Prediction, and Forecasting: A Systematic Literature Review

5. A review of the issues, methods and perspectives for yield estimation, prediction and forecasting in viticulture