Cropa | Analysis software/technique | Symptom measured | References |
---|---|---|---|
Alfalfa | Color transformations8, filtering8, Scion Image38 | Area affected8,38 | |
Apple | CNN37 | Severity37 | Wang et al. (2017)37 |
Banana | Color transformations8, filtering8 | Area affected8,16 | Camargo and Smith (2009)8 |
Bean | Mathematical morphology3,4,5, color transformations5, color analysis9, thresholding31, Scion Image38 | Area affected4,5,9,31,38, Deformation9 | Barbedo (2016a, 2016b)4, Barbedo (2017)5, Contreras-Medina et al. (2012)9, Škaloudová et al. (2006)31, Wijekoon et al. (2008)38 |
Cassava | Mathematical morphology4,5, color transformations5, ImageJ22, support vector classifier25, k-nearest neighbors25, extra trees25 | Area affected4,5,22, Severity levels25 | Barbedo (2016a, 2016b)4, Barbedo (2017)5, Mutka et al. (2016)22, Mwebaze and Owomugisha (2016)25 |
Citrus | Mathematical morphology4,5, color transformations5, Assess 1.06,7 | Area affected4,5,6,7, Number of lesions6 | Barbedo (2016a, 2016b)4, Barbedo (2017)5, Bock et al. (2008a, 2008b)6, Bock et al. (2009a, 2009b)7 |
Coconut | Mathematical morphology4,5, color transformations5 | Area affected4,5 | |
Coffee | Color transformations3,5,29, mathematical morphology3,4,5, thresholding29, CNN41 | Area affected3,4,5,29, Severity levels41 | Barbedo (2014)3, Barbedo (2016a, 2016b)4, Barbedo (2017)3, Price et al. (1993)29, Esgario et al. (2019)41 |
Cotton | Mathematical morphology4,5, color transformations5 | Area affected4,5 | |
Cucumber | Color comparison2, self-organizing map + linear perceptron13,17, Photoshop 6.0 + Matrox Inspector 2.218, Superpixel clustering + expectation maximization39 | Area affected2,13,17,18,39 | Bakr (2005)2, Goclawski et al. (2012)13, Kuźniak et al. (2014)17, Kwack et al. (2005)18, Zhang et al. (2019)39 |
Grapevine | Mathematical morphology4,5, color transformations5, ImageJ27 | Area affected4,5,27 | Barbedo (2016a, 2016b)4, Barbedo (2017)5, Peressotti et al. (2011)27 |
Maize | Assess 2.01, mathematical morphology4, 5, color transformations5,8, filtering8, thresholding20, Scion Image38 | Area affected1,4,5,20,38, Pustule count1 | Bade and Carmona (2011)1, Barbedo (2016a, 2016b)4, Barbedo (2017)5, Camargo and Smith (2009)8, Martin and Rybicki (1998)20, Wijekoon et al. (2008)38 |
Oat | Color transformations19, thresholding19,36 | Area affected19,36 | Macedo-Cruz et al. (2011)19, Tucker and Chakraborty (1997)36 |
Passion fruit | Color transformations3,5, mathematical morphology3,4,5 | Area affected3,4,5 | |
Pumpkin | Color analysis9,17 | Area affected9,17, Deformation9 | |
Rice | Mathematical morphology4, fractal dimensions + fuzzy C-means40 | Area affected4, Severity40 | |
Soybean | Color transformations3,5,30, mathematical morphology3,4,5,30, DCNN12, Linear Discriminant Analysis + Support Vector Machine23 | Area affected3,4,5,30, Severity12,23, number of lesions30 | Barbedo (2014)3, Barbedo (2016a, 2016b)4, Barbedo (2017)5, Ghosal et al. (2018)12, Naik et al. (2017)23, Shrivastava et al. (2015)30 |
Sugar beet | Color transformations3, mathematical morphology3, Assess 2.010 | Area affected3,10 | |
Sugarcane | Mathematical morphology4,5, color transformations5,26, thresholding26 | Area affected4,5,26 | Barbedo (2016a, 2016b)4, Barbedo (2017)5, Patil and Bodhe (2011)26 |
Tomato | Color transformations3, mathematical morphology3, Self-organizing maps + Bayesian classifier14, thresholding18,28, Assess 2.2435 | Area affected3,14,18,28,35 | Barbedo (2014)3, Hernández-Rabadán et al. (2014)14, Lindow and Webb (1983)18, Pethybridge and Nelson (2015)28, Sun et al. (2014)35 |
Wheat | Mathematical morphology4,5, color transformations5, Assess 2.011, Chan-Vese model + PCA15, Assess 1.021,32, ImageJ33,34, Scion Image38 | Area affected4,5,11,15,21,32,38, Number of lesions33,34 | Barbedo (2016a, 2016b)4, Barbedo (2017)5, El Jarroudi et al. (2015)11, Hu et al. (2017)15, Mirik et al. (2006)21, Steddom et al. (2005)32, Stewart and McDonald (2014)33, Stewart et al. (2016)34, Wijekoon et al. (2008)38 |