Development of canopy vigour maps using UAV for site-specific management during vineyard spraying process

Albetis, J., Duthoit, S., Guttler, F., Jacquin, A., Goulard, M., Poilvé, H., et al. (2017). Detection of Flavescence dorée grapevine disease using Unmanned Aerial Vehicle (UAV) multispectral imagery. Remote Sensing, 9, 308.

Ballesteros, R., Ortega, J. F., Hernández, D., & Moreno, M. Á. (2015). Characterization of Vitis vinifera L. canopy using unmanned aerial vehicle-based remote sensing and photogrammetry techniques. American Journal of Enology and Viticulture, 66(2), 120–129.

Balsari, P., Doruchowski, G., Marucco, P., Tamagnone, M., Van de Zande, J., & Wenneker, M. (2008). A system for adjusting the spray application to the target characteristics. Agricultural Engineering International: CIGR Journal, XS, 1–11.

Baluja, J., Diago, M. P., Balda, P., Zorer, R., Meggio, F., Morales, F., et al. (2012). Assessment of vineyard water status variability by thermal and multispectral imagery using an Unmanned Aerial Vehicle (UAV). Irrigation Science, 30, 511–522.

Carvalho, F. P. (2017). Pesticides, environment, and food safety. Food and Energy Security, 6(2), 48–60.

Codis, S., Douzals, J. P., Davy, A., Chapuis, G., Debuisson, S., & Wisniewski, N. (2012). Doses de produits phytos autorisées sur vigne en Europe, vont-elles s’harmoniser? Phytoma, 656, 37–41.

Damalas, C. A., & Eleftherohorinos, I. G. (2011). Pesticide exposure, safety issues, and risk assessment indicators. International Journal of Environmental Research and Public Health, 8(5), 1402–1419.

de Castro, A. I., Jiménez-Brenes, F. M., Torres-Sánchez, J., Peña, J. M., Borra-Serrano, I., & López-Granados, F. (2018). 3-D characterization of vineyards using a novel UAV imagery-based OBIA procedure for precision viticulture applications. Remote Sensing, 2018(10), 584. https://doi.org/10.3390/rs10040584 .

Doruchowski, G., Balsari, P., & Van de Zande, J. C. (2009). Development of a crop adapted spray application system for sustainable plant protection in fruit growing. In Proceedings of international symposium on application of precision agriculture for fruits and vegetables, Orlando, FL, USA.

Dobrowski, S., Ustin, S., & Wolpert, J. (2003). Grapevine dormant pruning weight prediction using remotely sensed data. Australian Journal of Grape and Wine Research, 9, 177–182.

Du, Q., Chang, N. B., Yang, C., & Srilakshmi, K. R. (2008). Combination of multispectral remote sensing, variable rate technology and environmental modeling for citrus pest management. Journal of Environmental Management, 86(1), 14–26.

EFSA (European Food Safety Authority). (2018). The 2016 European Union report on pesticide residues in food. EFSA Journal, 16(7), 5348. https://doi.org/10.2903/j.efsa.2018.5348 .

EPPO (European Plant Protection Organization). (2012). Dose expression for plant protection products. Bulletin OEPP/EPPO Bulletin, 42(3), 409–415. https://doi.org/10.1111/epp.12000 .

EPPO (European Plant Protection Organization). (2016). Conclusions and recommendations. Plenary session. Workshop on harmonized dose expression for the zonal evaluation of plant protection products in high growing crops. Vienna. Retrieved from https://www.eppo.int/media/uploaded_images/MEETINGS/Conferences_2016/dose_expression/Conclusions_and_recommendations.pdf

Escolà, A., Rosell-Polo, J. R., Planas, S., Gil, E., Pomar, J., Camp, F., et al. (2013). Variable rate sprayer Part 1—Orchard prototype: design, implementation and validation. Computers and Electronics in Agriculture, 95, 122–135. https://doi.org/10.1016/j.compag.2013.02.004 .

EU. (2009). Directive 2009/128/EC of the European Parliament and of the Council of 21 October 2009 Establishing a Framework for Community Action to Achieve the Sustainable Use of Pesticides; 2009/128/EC (p. 2009). Bruxelles, Belgium: European Parliament.

Garcerá, C., Fonte, A., Moltó, E., & Chueca, P. (2017). Sustainable use of pesticide applications in citrus: A support tool for volume rate adjustment. International Journal of Environmental Research and Public Health, 14(7), 715.

Gil, E., Arnó, J., Llorens, J., Sanz, R., Llop, J., Rosell-Polo, J. R., et al. (2014a). Advanced technologies for the improvement of spray application techniques in Spanish viticulture: An overview. Sensors, 14(1), 691–708. https://doi.org/10.3390/s120100691 .

Gil, E., & Escolà, A. (2009). Design of a decision support method to determine volume rate for vineyard spraying. Applied Engineering in Agriculture, 25(2), 145–151.

Gil, E., Escolà, A., Rosell, J. R., Planas, S., & Val, L. (2007). Variable rate application of plant protection products in vineyard using ultrasonic sensors. Crop Protection, 26, 1287–1297.

Gil, E., Gallart, M., Llorens, J., Llop, J., Bayer, T., & Carvalho, C. (2014b). Spray adjustments based on LWA concept in vineyard. Relationship between canopy and coverage for different application settings (pp. 25–32). Oxford, UK: International Advances in Pesticide Applications.

Gil, E., Llop, J., Gallart, M., Valera, M., Llorens, J. (2015). Design and evaluation of a manual device for air flow rate adjustment in spray application in vineyards. A: Workshop on spray application techniques in fruit growing. In: Proceedings of the Suprofruit 2015—13th Workshop on Spray Application in Fruit Growing. Linday: p. 8-9.

Gil, E., Llorens, J., Landers, A., Llop, J., & Giralt, L. (2011). Field validation of DOSAVIÑA, a decision support system to determine the optimal volume rate for pesticide application in vineyards. European Journal of Agronomy, 35(1), 33–46. https://doi.org/10.1016/j.eja.2011.03.005 .

Gil, E., Llorens, J., Llop, J., Escolà, A., & Rosell-Polo, J. R. (2013). Variable rate sprayer. Part 2—Vineyard 1 prototype: Design, implementation and validation. Computers and Electronics in Agriculture, 95, 136–150. https://doi.org/10.1016/j.compag.2013.02.010 .

Hall, A., Lamb, D. W., Holzapfel, B., & Louis, J. (2002). Optical remote sensing applications in viticulture—A review. Australian Journal of Grape and Wine Research, 8, 36–47.

Jeon, H. Y., Zhu, H., Derksen, R., Ozkan, E., & Krause, C. (2011). Evaluation of ultrasonic sensor for variable—Rate spray applications. Computers and Electronics in Agriculture, 75(2011), 213–221.

Johnson, L. (2003). Temporal stability of an NDVI-LAI relationship in a Napa Valley vineyard. Australian Journal of Grape and Wine Research, 9, 96–101. https://doi.org/10.1111/j.1755-0238.2003.tb00258.x .

Johnson, L., Bosch, D., Williams, D., & Lobitz, B. (2001). Remote sensing of vineyard management zones: Implications for wine quality. Applied Engineering in Agriculture, 17, 557–560. https://doi.org/10.13031/2013.6454 .

Johnson, L. F., Roczen, D. E., Youkhana, S. K., Nemani, R. R., & Bosch, D. F. (2003). Mapping Vineyard leaf area with multispectral satellite imagery. Computers and Electronics in Agriculture, 38, 37–48.

Le Maire, G., François, C., Soudani, K., Berveiller, D., Pontailler, J., Bréda, N., et al. (2008). Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass. Remote Sensing of Environment, 112, 3846–3864.

Lee, K., & Ehsani, R. (2008). A laser-scanning system for quantification of tree-geometric characteristics (p. 083980). St. Joseph, MI, ASABE Paper No: ASABE.

Llorens, J., Gil, E., Llop, J., & Escolà, A. (2011). Ultrasonic and LIDAR sensors for electronic canopy characterization in vineyards: advances to improve pesticide application methods. Sensors, 11(2), 2177–2194. https://doi.org/10.3390/s110202177 .

Matese, A., Toscano, P., Di Gennaro, S., Genesio, L., Vaccari, F., Primicerio, J., et al. (2015). Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture. Remote Sensing, 7(3), 2971–2990.

Mathews, A. J., & Jensen, J. L. R. (2013). Visualizing and quantifying vineyard canopy LAI using an Unmanned Aerial Vehicle (UAV) collected high density structure from motion point cloud. Remote Sensing, 5, 2164–2183.

Meier, U. (1997). BBCH-Monograph. Growth stages of plants - Entwicklungsstadien von Pflanzen - Estadios de las plantas - Développement des Plantes. Blackwell Wissenschaftsverlag, Berlin und Wien. 622 p

Miranda-Fuentes, A., Llorens, J., Rodriguez-Lizana, A., Cuenca, A., Gil, E., Blanco-Roldán, G. L., et al. (2016). Assessing the optimal liquid volume to be sprayed on isolated olive trees according to their canopy volumes. Science of the Total Environment, 568(2016), 269–305.

Mõttus, M., Sulev, M., & Lang, M. (2006). Estimation of crown volume for a geometric radiation model from detailed measurements of tree structure. Ecological Modelling, 198, 506–514.

Palleja, T., Landers, A. (2015). Precision fruit spraying: measuring canopy density and volume for air and liquid control. SuproFruit 2015 – 13th workshop on spray application in fruit growing, Lindau, Germany, 15–18 July 2015. Julius-Kühn-Archiv, 448.

Patrick, A., & Changying, L. (2017). High throughput phenotyping of blueberry bush morphological traits using Unmanned Aerial Systems. Remote Sensing, 2017(9), 1250. https://doi.org/10.3390/rs9121250 .

Pergher, G., Petris. R. (2008). Pesticide Dose Adjustment in Vineyard Spraying and Potential for Dose Reduction. Agricultural Engineering International: The CIGR Ejournal. Manuscript ALNARP 08 011. Vol. X.

Poblete-Echeverría, C., Olmedo, G. F., Ingram, B., & Bardeen, M. (2017). Detection and segmentation of vine canopy in ultra-high spatial resolution rgb imagery obtained from Unmanned Aerial Vehicle (UAV): A case study in a commercial vineyard. Remote Sens., 9, 268.

Primicerio, I., Di Gennaro, S. F., Fiorillo, E., Genesio, L., Lugato, E., Matese, A., et al. (2012). A flexible unmanned aerial vehicle for precision agriculture. Precision Agriculture, 13(4), 517–523.

Rosell, J. R., & Sanz, R. (2012). A review of methods and applications of the geometric characterization of tree crops in agricultural activities. Computers and electronics in agriculture, 81, 124–141.

Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering. (1973). Monitoring vegetation systems in the Great Plains with ERTS, Third ERTS Symposium, NASA SP-351 I, 309-317.

Salcedo, R., Garcerá, C., Granell, R., Molto, E., & Chueca, P. (2015). Description of the airflow produced by an air-assisted sprayer during pesticide applications to citrus. Spanish Journal of Agricultural Research, 2, 4.

Solanelles, F., Planas, S., Escolà, A., & Rosell, J. R. (2002). Spray application efficiency of an electronic control system for proportional application to the canopy volume. International advances in pesticide application 2002. Aspects of Applied Biology, 66, 139–146.

Solanelles, F., Planas, S., Rosell, J. R., Camp, F., & Gràcia, F. (2006). An electronic control system for pesticide application proportional to the canopy width of tree crops. Biosystems Engineering, 95(4), 473–481.

Toews, B., & Friessleben, R. (2012). Dose rate expression—Need for harmonization and consequences of the Leaf Wall Area approach. Aspects of Applied Biology, 114, 2012. https://doi.org/10.1007/s10341-012-016-z .

UMA-UPC. (2018). DOSAVIÑA®. Decision Support System for determining the optimal volume rate in vineyard. Retrieved August 2018, from https://dosavina.upc.edu .

USGS (2018). NDVI, the Foundation for Remote Sensing Phenology. Retrieved August 2018, from https://phenology.cr.usgs.gov/ndvi_foundation.php .

Walklate, P., & Cross, J. (2012). An examination of leaf-wall-area dose expression. Crop Protection, 35, 132–134.

Wei, J., & Salyani, M. (2005). Development of a laser scanner for measuring tree canopy characteristics: Phase 2. Foliage density measurement. Transactions of ASAE, 48(4), 1595–1601.

Weiss, M., & Baret, F. (2017). Using 3D point clouds derived from UAV RGB imagery to describe vineyard 3D macro-structure. Remote Sensing, 9, 111.

Xiongkui, H., Bonds, J., Herbst, A., & Langenakens, J. (2017). Recent development of unmanned aerial vehicle for plant protection in East Asia. International Journal of Agricultural and Biological Engineering, 10(3), 18–30.