Efficient Assessment of Crop Spatial Variability Using UAV Imagery: A Geostatistical Approach

Author:

Vélez Sergio1ORCID,Ariza-Sentís Mar1ORCID,Valente João1ORCID

Affiliation:

1. Information Technology Group, Wageningen University & Research, 6708 PB Wageningen, The Netherlands

Publisher

MDPI

Reference27 articles.

1. Precision Agriculture and Food Security;Gebbers;Science,2010

2. Precision Agriculture Using IoT Data Analytics and Machine Learning;Akhter;J. King Saud Univ.-Comput. Inf. Sci.,2022

3. Zarco-Tejada, P., Hubbard, N., Loudjani, P., Joint Research Centre (JRC) of the European Commission, and Monitoring Agriculture ResourceS (MARS) Unit H04 (2014). Precision Agriculture: An Opportunity for EU Farmers–Potential Support with the CAP 2014–2020, European Parliamentary Research Service.

4. Mapping the Spatial Variability of Botrytis Bunch Rot Risk in Vineyards Using UAV Multispectral Imagery;Valente;Eur. J. Agron.,2023

5. High-Resolution UAV-Based Thermal Imaging to Estimate the Instantaneous and Seasonal Variability of Plant Water Status within a Vineyard;Santesteban;Agric. Water Manag.,2017

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