Yield estimations in a vineyard based on high-resolution spatial imagery acquired by a UAV

Author:

López-García Patricia,Ortega Jose F.,Pérez-Álvarez Eva P.ORCID,Moreno Miguel A.ORCID,Ramírez Juan M.ORCID,Intrigliolo Diego S.,Ballesteros RocíoORCID

Funder

Federación Española de Enfermedades Raras

Junta de Comunidades de Castilla-La Mancha

Ministerio de Ciencia, Innovación y Universidades

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference53 articles.

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2. Viticultural evaluation of French and California Pinot noir clones grown for production of sparkling wine;Anderson;American Journal of Enology and Viticulture,2008

3. A new methodology for estimating the grapevine-berry number per cluster using image analysis;Aquino;Biosystems Engineering,2017

4. Les stades repères dans le développment annuel de la vigne et leur utilisation pratique;Baggiolini;Revue Romande d’Agriculture et d’Arboriculture,1952

5. Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques;Ballesteros;Precision Agriculture,2020

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