Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important to ensure that they are harvested during optimum stage for maximum oil production. This paper presents the application of color vision for automated ripeness classification of oil palm FFB. Images of oil palm FFBs of type DxP Yangambi were collected and analyzed using digital image processing techniques. Then the color features were extracted from those images and used as the inputs for Artificial Neural Network (ANN) learning. The performance of the ANN for ripeness classification of oil palm FFB was investigated using two methods: training ANN with full features and training ANN with reduced features based on the Principal Component Analysis (PCA) data reduction technique. Results showed that compared with using full features in ANN, using the ANN trained with reduced features can improve the classification accuracy by 1.66% and is more effective in developing an automated ripeness classifier for oil palm FFB. The developed ripeness classifier can act as a sensor in determining the correct oil palm FFB ripeness category.
This paper presents the development of prototype system for monitoring and computing greenhouse gases (GHG) with Unmanned Aerial Vehicle (UAV) deployment for collecting data for different nodes. This system is based on wireless ZigBee technology that transfers the data wirelessly to UAV, which function is as a router, from which data is sent again to a data logger. An ATMEGA328P microcontroller is used to compute parameters such as CO 2 , O 2 , temperature and humidity. All the environmental parameters are measured on real time and are being stored in Secured Digital (SD) card for every 30 seconds interval. The data is collected at Engineering Campus, Universiti Sains Malaysia in Nibong Tebal, Pulau Pinang, Malaysia using UAV at several nodes. The results show that the system is able to trace and record CO 2 , O 2 , temperature and humidity level, which are important parameters for studies related to global warming.
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