Automatic identification and counting of small size pests in greenhouse conditions with low computational cost

Allen, 1990, The changing role of extension entomology in the IPM era, Annu. Rev. Entomol., 35, 379, 10.1146/annurev.en.35.010190.002115 Bechar, 2010, On-line video recognition and counting of harmful insects, 4068 Boissard, 2008, A cognitive vision approach to early pest detection in greenhouse crops, Comput. Electron. Agric., 62, 81, 10.1016/j.compag.2007.11.009 Bommarco, 2013, Ecological intensification: harnessing ecosystem services for food security, Trends Ecol. Evol., 28, 230, 10.1016/j.tree.2012.10.012 Cho, 2007, Automatic identification of whiteflies, aphids and thrips in greenhouse based on image analysis, Int. J. Math. Comput. Simul., 346, 244 Chung, 2014, Sampling of Bemisia tabaci adults using a pre-programmed autonomous pest control robot, J. Asia Pac. Entomol., 17, 737, 10.1016/j.aspen.2014.06.009 De Maesschalck, 2000, The mahalanobis distance, Chemom. Intell. Lab. Syst., 50, 1, 10.1016/S0169-7439(99)00047-7 Gaston, 2004, Automated species identification: why not?, Philos. Trans. R. Soc. Lond. B Biol. Sci., 359, 655, 10.1098/rstb.2003.1442 Kato, 1999, A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance, IEEE Trans. Pattern Anal. Mach. Intell., 21, 258, 10.1109/34.754617 Kohavi, 1998, Glossary of terms: special issue on applications of machine learning and the knowledge discovery process, Mach. Learn., 30, 271, 10.1023/A:1017181826899 Kom, 2007, Automated detection of masses in mammograms by local adaptive thresholding, Comput. Biol. Med., 37, 37, 10.1016/j.compbiomed.2005.12.004 Koumpouros, 2004, Image processing for distance diagnosis in pest management, Comput. Electron. Agric., 44, 121, 10.1016/j.compag.2004.04.004 Kumar, 2010, Robust insect classification applied to real time greenhouse infestation monitoring, 1 MacLeod, 2010, Time to automate identification, Nature, 467, 154, 10.1038/467154a Malais, 2004 Manh, 2001, AE—automation and emerging technologies: weed leaf image segmentation by deformable templates, J. Agric. Eng. Res., 80, 139, 10.1006/jaer.2001.0725 Martin, 2007, A cognitive vision approach to image segmentation, 265 Ng, 2006, Medical image segmentation using K-means clustering and improved watershed algorithm, 61 Otsu, 1979, A threshold selection method from gray-level histograms, Automatica, 11, 23 Parvati, 2008, Image segmentation using gray-scale morphology and marker-controlled watershed transformation, Discret. Dyn. Nat. Soc., 8 Payne, 2014, Estimating mango crop yield using image analysis using fruit at ‘stone hardening’ stage and night time imaging, Comput. Electron. Agric., 100, 160, 10.1016/j.compag.2013.11.011 Pinto-Zevallos, 2013, Yellow sticky traps for decision-making in whitefly management: what has been achieved?, Crop. Prot., 47, 74, 10.1016/j.cropro.2013.01.009 Qiao, 2008, Density estimation of Bemisia tabaci (Hemiptera: Aleyrodidae) in a greenhouse using sticky traps in conjunction with an image processing system, J. Asia Pac. Entomol., 11, 25, 10.1016/j.aspen.2008.03.002 Rahman, 2013, Segmentation of color image using adaptive thresholding and masking with watershed algorithm, 1 Rizzi, 2003, A new algorithm for unsupervised global and local color correction, Pattern Recogn. Lett., 24, 1663, 10.1016/S0167-8655(02)00323-9 Solis Sánchez, 2009, Machine vision algorithm for whiteflies (Bemisia tabaci Genn.) scouting under greenhouse environment, J. Appl. Entomol., 133, 546, 10.1111/j.1439-0418.2009.01400.x Solis-Sánchez, 2011, Scale invariant feature approach for insect monitoring, Comput. Electron. Agric., 75, 92, 10.1016/j.compag.2010.10.001 Sural, 2002, Segmentation and histogram generation using the HSV color space for image retrieval, 2, II-589 Vincent, 1991, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Trans. Pattern Anal. Mach. Intell., 13, 583, 10.1109/34.87344 Weinberger, 2006, Distance metric learning for large margin nearest neighbor classification, Adv. Neural Inf. Process. Syst., 18, 1473 Wise, 2007 Xia, 2012, In situ detection of small-size insect pests sampled on traps using multifractal analysis, Opt. Eng., 51, 027001-1, 10.1117/1.OE.51.2.027001 Xia, 2013, Plant leaf detection using modified active shape models, Biosyst. Eng., 116, 23, 10.1016/j.biosystemseng.2013.06.003 Zheng, 2012, A least-squares support vector machine (LS-SVM) based on fractal analysis and CIELab parameters for the detection of browning degree on mango (Mangifera indica L.), Comput. Electron. Agric., 83, 47, 10.1016/j.compag.2012.01.012