Develop an oil palm harvesting plan

Abstract

Fruit harvesting techniques that are both safe and quick are becoming more popular in the agricultural sector. Traditional grading systems are still widely employed today, despite the advancement of technology. However, high prices and certain discrepancies force the post-harvesting sector to use automation in categorization activities due to the high expenses. Recently, businesses have begun to turn to automation technologies in order to increase working capacity while simultaneously lowering operating expenses. When automated grading methods are utilized, the inconsistencies that are connected with hand grading are reduced. As a result, the mistake rate and expenses are reduced, while the speed is increased. As is well known, the size, shape, color, and tissue of the object are the fundamental factors in the categorization process. An investigation into automated color grading of oil palm utilizing digital cameras and computerized image processing methods was conducted in this research. The constructed system has accomplished the most fundamental duties, but it still needs additional development