CHILI GRADING USING ANN APPROACH

Abstract

The factor that farmers and traders that still have a quite difficult time grading are still using the traditional method, which is using manual grading method that consumes more time, laborers to do the grading and yet still having an error in grading the products. This problem can be solved if traders and farmers change the way of method to the modern view which is using new technology that has been introduced by Federal Agricultural Marketing Authority and Ministry of Algriculture and Food Industries. The objective of this research is to develop a prototype to classify and grade a chili even better and simply. The prototype provides the grading result which is examined from the taken photo of chili that taken from a smartphone camera that is connected to the pc or laptop. The grading is using a system of graphic user interface in MATLAB, then the result will be stored in the directional folder to be analyze. After the artificial neural network algorithm has been used then farmers and admin can grade their products after getting the grading result. And the preparation for categorizing the chili or product would be more quicker than the traditional method.