Berra, E, Gibson-Poole, S, MacArthur, A, Gaulton, R and Hamilton, A
2015. Estimation of the spectral sensitivity functions of un-modified and modified commercial off-the-shelf digital cameras to enable their use as a multispectral imaging system for UAVs.
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences
40 (1), 207.
Bussan, AJ, Mitchell, PD, Copas, ME and Drilias, MJ
2007. Evaluation of the effect of density on potato yield and tuber size distribution. Crop Science
47 (6), 2462–2472.
Camargo, FF, Almeida, CM, Costa, GAOP, Feitosa, RQ, Oliveira, DAB, Heipke, C and Ferreira, RS
2012. An open source object-based framework to extract landform classes. Expert Systems with Applications
39 (1), 541–554.
2015. Biology and control of Pectobacterium in potato. American Journal of Potato Research
92 (2), 223–229.
Czajkowski, R, Perombelon, MC, van Veen, JA and van der Wolf, JM
2011. Control of blackleg and tuber soft rot of potato caused by Pectobacterium and Dickeya species: a review. Plant pathology
60 (6), 999–1013.
2002. Status of land cover classification accuracy assessment. Remote sensing of environment
80 (1), 185–201.
2002. Potato diseases caused by soft rot erwinias: an overview of pathogenesis. Plant Pathology
51 (1), 1–12.
Rabatel, G, Gorretta, N and Labbé, S
2014. Getting simultaneous red and near-infrared band data from a single digital camera for plant monitoring applications: Theoretical and practical study. Biosystems Engineering
117, pp. 2–14.
Rasmussen, J, Ntakos, G, Nielsen, J, Svensgaard, J, Poulsen, R N and Christensen, S
2016. Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots. European Journal of Agronomy
Rouse, J Jr, Haas, RH, Schell, JA and Deering, DW
1974. Monitoring vegetation systems in the Great Plains with ERTS. NASA special publication
Schindelin, J, Arganda-Carreras, I, Frise, E, Kaynig, V, Longair, M, Pietzsch, T and Tinevez, JY
2012. Fiji: an open-source platform for biological-image analysis. Nature methods
9 (7), 676–682.
Shahbazi, M, Théau, J and Ménard, P
2014. Recent applications of unmanned aerial imagery in natural resource management. GIScience & Remote Sensing
51 (4), 339–365.
Skelsey, P, Elphinstone, JG, Saddler, GS, Wale, SJ and Toth, IK
2016. Spatial analysis of blackleg-affected seed potato crops in Scotland. Plant Pathology
Sugiura, R, Tsuda, S, Tamiya, S, Itoh, A, Nishiwaki, K, Murakami, N and Nuske, S
2016. Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle. Biosystems Engineering
Toth, IK, Van Der Wolf, JM, Saddler, G, Lojkowska, E, Hélias, V, Pirhonen, M and Elphinstone, JG
Dickeya species: an emerging problem for potato production in Europe. Plant Pathology
60 (3), 385–399.
2010. It’s all about the format-unleashing the power of RAW aerial photography. Int.
Journal of Remote Sensing
31 (8), 2009–2042.
Zhang, C and Kovacs, JM
2012. The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture
13 (6), 693–712.
Zhou, J, Pavek, MJ, Shelton, SC, Holden, ZJ and Sankaran, S
2016. Aerial multispectral imaging for crop hail damage assessment in potato. Computers and Electronics in Agriculture