Add to ORKGA computer-implemented method of predicting mesocarp oil content of oil palm fruits comprises the steps of providing a digital image (120) of the oil palm fruits; acquiring average pixel value of RGB (130) of the digital image; deriving average hue value (140) of the digital image from the acquired average value of RGB; fitting the derived average value (160) into a first established model to obtain a predicted oil content of the oil palm fruits; or matching the derived average hue value to a database containing a range of preset hue value to obtain the predicted oil content (180); wherein each of the preset value is tagged with respective predetermined oil content
The quality of palm oil depends on the maturity level of the oil palm fresh fruit bunch (FFB). This ...
The demand for high accuracy in grading system of the ripeness and maturity level of the Oil Palm F...
A major challenge in oil palm industry is the shortage of labour mainly in harvesting operation. Har...
A computer-implemented method of predicting mesocarp oil content of oil palm fruits comprises the st...
This paper introduces the new method of procedure in studying the relationship of the mesocarp oil c...
This paper describes the validation process on the relationship of the oil content quantity for meso...
Determination of correct maturity stage of the oil palm fruit bunches is crucial in maximizing oil e...
Color is the most important indicator for the farmer to determine fresh fruit bunches (FFB) for oil ...
This study introduced the image based measurement for modelling the oil palm fresh fruit bunches (FF...
This experiment was conducted to determine the equations relating the Hue digital values of the frui...
In this study, the correlation between oil palm fresh fruits bunch (FFB) appearance and its oil cont...
In this study, the relationship of oil extraction rate (OER) and fruit ripeness will be determined. ...
In the present work a model was developed for the prediction of the oil content of the mesocarp of f...
Abstract — In this study, the correlation between oil palm fresh fruits bunch (FFB) appearance and i...
Nowadays, an automated fruit grading system has gained much attention since the technologies in upgr...
The quality of palm oil depends on the maturity level of the oil palm fresh fruit bunch (FFB). This ...
The demand for high accuracy in grading system of the ripeness and maturity level of the Oil Palm F...
A major challenge in oil palm industry is the shortage of labour mainly in harvesting operation. Har...
A computer-implemented method of predicting mesocarp oil content of oil palm fruits comprises the st...
This paper introduces the new method of procedure in studying the relationship of the mesocarp oil c...
This paper describes the validation process on the relationship of the oil content quantity for meso...
Determination of correct maturity stage of the oil palm fruit bunches is crucial in maximizing oil e...
Color is the most important indicator for the farmer to determine fresh fruit bunches (FFB) for oil ...
This study introduced the image based measurement for modelling the oil palm fresh fruit bunches (FF...
This experiment was conducted to determine the equations relating the Hue digital values of the frui...
In this study, the correlation between oil palm fresh fruits bunch (FFB) appearance and its oil cont...
In this study, the relationship of oil extraction rate (OER) and fruit ripeness will be determined. ...
In the present work a model was developed for the prediction of the oil content of the mesocarp of f...
Abstract — In this study, the correlation between oil palm fresh fruits bunch (FFB) appearance and i...
Nowadays, an automated fruit grading system has gained much attention since the technologies in upgr...
The quality of palm oil depends on the maturity level of the oil palm fresh fruit bunch (FFB). This ...
The demand for high accuracy in grading system of the ripeness and maturity level of the Oil Palm F...
A major challenge in oil palm industry is the shortage of labour mainly in harvesting operation. Har...