A precision viticulture UAV-based approach for early yield prediction in vineyard-Reference-Cited by-同舟云学术

A precision viticulture UAV-based approach for early yield prediction in vineyard

Published:2019-07-08 Issue: Volume: Page:
ISSN:
Container-title:Precision agriculture ’19
language:
Short-container-title:

Author:

Di Gennaro S.F.¹,Toscano P.¹,Cinat P.¹,Berton A.²,Matese A.¹

Affiliation:

1. Institute of Biometeorology, National Research Council, 50145 Florence, Italy.

2. Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-888-9_46

Reference40 articles.

1. A new methodology for estimating the grapevine-berry number per cluster using image analysis

2. A new methodology for estimating the grapevine-berry number per cluster using image analysis

3. Automated early yield prediction in vineyards from on-the-go image acquisition

4. Automated early yield prediction in vineyards from on-the-go image acquisition

5. Bonilla, I., Martínez de Toda, F., Martínez-Casasnovas, J. A., 2015. Vine vigor, yield and grape quality assessment by airborne remote sensing over three years: Analysis of unexpected relationships in cv. Tempranillo. Spanish Journal of Agricultural Research 13 (2) e0903.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 134. Collaborative smart-robot for yield mapping and harvesting assistance;Precision agriculture ’23;2023-07-02

2. Using NDVI, climate data and machine learning to estimate yield in the Douro wine region;International Journal of Applied Earth Observation and Geoinformation;2022-11

3. Yield sensing technologies for perennial and annual horticultural crops: a review;Precision Agriculture;2022-08-20

4. Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms;Agronomy;2022-01-26

5. Integrating UAVs and Canopy Height Models in Vineyard Management: A Time-Space Approach;Remote Sensing;2021-12-29