Illumination levels affect the prediction of soil organic carbon using smartphone-based digital images

Author:

Gozukara Gafur,Hartemink Alfred E.,Zhang Yakun

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

1. Estimating soil properties with a mobile phone. In Digital soil morphometrics;Aitkenhead,2016

2. Automated soil physical parameter assessment using Smartphone and digital camera imagery;Aitkenhead;J. Imaging,2016

3. Aitkenhead, M.J., Donnelly, D., Coull, M., Black, H., 2013. E-SMART: Environmental sensing for monitoring and advising in real-time. IFIP Adv. Inform. Commun. Technol. 129–142.

4. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy;Bellon-Maurel;Trac-Trends Anal. Chem.,2010

5. Black, C.A., 1965. Methods of Soil Analysis. Part 2. Amer. Society of Agronomy Inc., Madison, Wisconsin, USA, pp. 1372–1376.

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