From sensor data to Munsell color system: Machine learning algorithm applied to tropical soil color classification via Nix™ Pro sensor

• Published in: Geoderma Vol. 375; p. 114471
• Main Authors: Mancini, Marcelo, Weindorf, David C., Monteiro, Maria Eduarda Carvalho, de Faria, Álvaro José Gomes, dos Santos Teixeira, Anita Fernanda, de Lima, Wellington, de Lima, Francielle Roberta Dias, Dijair, Thaís Santos Branco, Marques, Francisco D'Auria, Ribeiro, Diego, Silva, Sérgio Henrique Godinho, Chakraborty, Somsubhra, Curi, Nilton
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: algorithms; color; Color system; eyes; humans; Pedology; prediction; Prediction models; Proximal sensors; Random Forest; soil color; tropical soils; Pedology; Prediction models; Proximal sensors; Color system; Random Forest

•Munsell color was accurately predicted by Nix Pro color sensor.•Mean color difference (ΔE*ab) achieved 2.9, indicating the Nix Pro accuracy.•Results achieved overall accuracy and Kappa index of 0.93.•Using a dirty, old Munsell color chart reduced the accuracy of predictions.•Soil color determined b...