10. Precision monitoring of vine water stress using UAVs and opensource processing chains-Reference-Cited by-同舟云学术

10. Precision monitoring of vine water stress using UAVs and opensource processing chains

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:Precision agriculture ’23
language:
Short-container-title:

Author:

Burchard-Levine V.¹,Nieto H.¹,Mesías-Ruiz G.A.¹,Dorado J.¹,de Castro A.I.²,Peña J.M.¹

Affiliation:

1. Tec4Agro, Institute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Madrid, Spain.

2. Environment and Agronomy Department, National Agricultural and Food Research and Technology Institute-INIA, Spanish National Research Council (CSIC), Madrid, Spain.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-947-3_10

Reference18 articles.

1. Allen, R. G., Pereira, L.S., Raes, D., and Smith, M. (1998). Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56, FAO, Rome, 300.9, D05109

2. Bellvert, J., Zarco-Tejada, P. J., Girona, J. and Fereres, E. (2014). Mapping Crop Water Stress Index in a ‘Pinot-Noir’ Vineyard: Comparing Ground Measurements with Thermal Remote Sensing Imagery from an Unmanned Aerial Vehicle, Precision Agriculture, 15.4 (2014), 361-76

3. de Castro, A. I., Shi, Y., Maja, J.M., and Peña, J.M. (2021). UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions’, Remote Sensing, 13.11, 2139

4. Assessment of red-edge vegetation indices for crop leaf area index estimation

5. Fawcett, D., Panigada, C., Tagliabue, G., Boschetti, M., Celesti, M., Evdokimov, A. et al. (2020). Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions, Remote Sensing, 12.3, 514.