The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying.

MLA

Onwude, Daniel I., et al. “The Potential of Computer Vision, Optical Backscattering Parameters and Artificial Neural Network Modelling in Monitoring the Shrinkage of Sweet Potato (Ipomoea Batatas L.) during Drying.” Journal of the Science of Food and Agriculture, vol. 98, no. 4, Mar. 2018, pp. 1310–24. EBSCOhost, https://doi.org/10.1002/jsfa.8595.

APA

Onwude, D. I., Hashim, N., Abdan, K., Janius, R., & Chen, G. (2018). The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying. Journal of the Science of Food and Agriculture, 98(4), 1310–1324. https://doi.org/10.1002/jsfa.8595

Chicago

Onwude, Daniel I, Norhashila Hashim, Khalina Abdan, Rimfiel Janius, and Guangnan Chen. 2018. “The Potential of Computer Vision, Optical Backscattering Parameters and Artificial Neural Network Modelling in Monitoring the Shrinkage of Sweet Potato (Ipomoea Batatas L.) during Drying.” Journal of the Science of Food and Agriculture 98 (4): 1310–24. doi:10.1002/jsfa.8595.