Estimating mango crop yield using image analysis using fruit at stone hardening stage and night time imaging
Segmentation algorithm from Payne et al. (2013) was altered. Additional colour and hessian filtering was used. Improved detection efficiency of 78% (10.2% errors) and an R2 value of 0.63. Night time imaging using artificial lighting removed background false positives. False leaf detections were significant in some sets and an inhibitor to effective practical use.
fruit applied image colour segmentation processing automated counting texture segmentation