Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting

Machine Learning, Neural and Statistical Classification

Bill Fulkerson, D. Michie, D. J. Spiegelhalter et al. · Technometrics · 1995 · 2.2K citations

Computing, Computer Science, Data Science +15

Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment

Jeroen Lammertyn, Ann Peirs, Josse De Baerdemaeker et al. · Postharvest Biology and Technology · 2000 · 358 citations

Agriculture, Food Science, Fruit Science +13

DETECTION OF DEFECTS ON SELECTED APPLE CULTIVARS USING HYPERSPECTRAL AND MULTISPECTRAL IMAGE ANALYSIS

Patrick M. Mehl, K. Chao, Minkwan Kim et al. · Applied Engineering in Agriculture · 2002 · 126 citations

Agriculture, Crop Sciences, Food Science +17

Building a rule-based machine-vision system for defect inspection on apple sorting and packing lines

Zhiqing Wen · Expert Systems with Applications · 1999 · 100 citations

Engineering, Computer Engineering, Computer Science +17

Defect segmentation on ‘Jonagold’ apples using colour vision and a Bayesian classification method

Vincent Leemans, H. Magein, Marie-France Destain · Computers and Electronics in Agriculture · 1999 · 83 citations · Full text

Computing, Computer Science, Horticultural Sciences +16