Classification of Cocoa Beans Based on their Level of Fermentation using Spectral Information
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Jorge Bacca | Henry Arguello | Karen Sanchez | Laura Arévalo-Sánchez | Sergio Castillo | Jorge Bacca | Karen Sanchez | H. Arguello | Sergio Castillo | Laura Arévalo-Sánchez
[1] Alexander J. Smola,et al. Learning with Kernels: support vector machines, regularization, optimization, and beyond , 2001, Adaptive computation and machine learning series.
[2] P. Rupérez,et al. Dietary fibre composition, antioxidant capacity and physico-chemical properties of a fibre-rich product from cocoa (Theobroma cacao L.) , 2007 .
[3] António S. Barros,et al. Infrared spectroscopy and outer product analysis for quantification of fat, nitrogen, and moisture of cocoa powder. , 2007, Analytica chimica acta.
[4] R. Swaray. Commodity buffer stock redux: The role of International Cocoa Organization in prices and incomes , 2011 .
[5] Jorge Bacca,et al. Sparse Subspace Clustering in Hyperspectral Images using Incomplete Pixels , 2019 .
[6] S. Jinap,et al. Flavour evaluation of chocolate formulated from cocoa beans from different countries , 1995 .
[7] Jhon E. Pinto,et al. Classification of Hass avocado (persea americana mill) in terms of its ripening via hyperspectral images , 2019, TecnoLógicas.
[8] Pascal Fua,et al. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[10] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[11] C. Igathinathane,et al. Nondestructive determination of cocoa bean quality using FT-NIR spectroscopy , 2016, Comput. Electron. Agric..
[12] Jason Potts,et al. The State of Sustainable Markets - Statistics and Emerging Trends 2015 , 2016 .
[13] Xingyi Huang,et al. Feasibility study on the use of Fourier transform near-infrared spectroscopy together with chemometrics to discriminate and quantify adulteration in cocoa beans , 2014 .
[14] Colm P. O'Donnell,et al. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .
[15] Renfu Lu,et al. Hyperspectral and multispectral imaging for evaluating food safety and quality , 2013 .
[16] F. Sauvage,et al. Near infrared spectroscopy as a new tool to determine cocoa fermentation levels through ammonia nitrogen quantification. , 2014, Food chemistry.
[17] Henry Arguello,et al. Multi-resolution reconstruction algorithm for compressive single pixel spectral imaging , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).
[18] Catherine Pellé,et al. Color filters including infrared cut-off integrated on CMOS image sensor. , 2011, Optics express.
[19] Li Liu,et al. Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety , 2014, Sensors.
[20] Henry Arguello,et al. Supervised spatio-spectral classification of fused images using superpixels. , 2019, Applied optics.
[21] K. Dewettinck,et al. Constraints for future cocoa production in Ghana , 2017, Agroforestry Systems.
[22] Yong He,et al. Theory and application of near infrared reflectance spectroscopy in determination of food quality , 2007 .
[23] Xingyi Huang,et al. Estimating cocoa bean parameters by FT-NIRS and chemometrics analysis. , 2015, Food chemistry.
[24] P. Umaharan,et al. Fast and neat--determination of biochemical quality parameters in cocoa using near infrared spectroscopy. , 2015, Food chemistry.
[25] Henry Arguello,et al. Multi-Resolution Coded Apertures Based on Side Information for Single Pixel Spectral Reconstruction , 2018, 2018 26th European Signal Processing Conference (EUSIPCO).
[26] Jungho Im,et al. Support vector machines in remote sensing: A review , 2011 .
[27] S. Frosch,et al. Optimizing chocolate production through traceability: A review of the influence of farming practices on cocoa bean quality , 2013 .
[28] Henry Arguello,et al. Non-Destructive Method for Classification of Cocoa Beans from Spectral Information , 2019, 2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA).
[29] K. Dewettinck,et al. Assessing cocoa aroma quality by multiple analytical approaches , 2015 .
[30] Gary A. Shaw,et al. Spectral Imaging for Remote Sensing , 2003 .
[31] Claudia Beleites,et al. Validation of soft classification models using partial class memberships: An extended concept of sensitivity & co. applied to grading of astrocytoma tissues , 2013, 1301.0264.
[32] Steven J. Brown,et al. Geographic and Genetic Population Differentiation of the Amazonian Chocolate Tree (Theobroma cacao L) , 2008, PloS one.
[33] Jorge Bacca,et al. Kernel Sparse Subspace Clustering with Total Variation Denoising for Hyperspectral Remote Sensing Images , 2017 .
[34] C. Blanch,et al. Nutritional composition and fatty acids profile in cocoa beans and chocolates with different geographical origin and processing conditions. , 2015, Food chemistry.
[35] Chein-I. Chang. Hyperspectral Imaging: Techniques for Spectral Detection and Classification , 2003 .
[36] Henry Arguello,et al. Spectral Image Fusion for Increasing the Spatio-Spectral Resolution Through Side Information , 2018 .
[37] Khalid Bashir,et al. Status, supply chain and processing of cocoa - A review , 2017 .
[38] J. Dunwell,et al. Cacao biotechnology: current status and future prospects , 2017, Plant biotechnology journal.
[39] Candelaria Tejada Tovar,et al. Influencia de la altura del lecho sobre el comportamiento dinámico de columna de lecho fijo en la biosorción de mercurio , 2017 .
[40] José Manuel Amigo,et al. Grading and color evolution of apples using RGB and hyperspectral imaging vision cameras , 2012 .
[41] M. Petersen,et al. Ghanaian cocoa bean fermentation characterized by spectroscopic and chromatographic methods and chemometrics. , 2010, Journal of food science.