The Academic Resources Recommender System (ARReS) includes collection of Theses and Dissertations available in the Camarines Sur Polytechnic Colleges Library.
Classification of waste is one common problem in waste management, waste can bring a huge impact in everyday living causing pollution and some other infectious diseases. The traditional way of sorting waste manually takes much time and brings negative effect as it is already contaminated. Generally, this study was conducted to develop a prototype that will classify waste classification through image processing using Convolutional Neural Network. Accuracy Matrix is used to determine the efficiency of the system to classify waste. This study used Kanban Agile Software Development Model in developing the study allowing the researchers to monitor the time frame of work piece. The purpose of this study is to lessen the burden of traditional way of manually classifying waste. The datasets utilized in this study is collected in the reliable internet source. Accuracy Matrix was to evaluate the performance of the algorithm, the model has achieved 98% accuracy. Therefore, the developed prototype shows how effective Convolutional Neural Network is in image processing.
Janet B. Sasaluya; Caren F. Vega; Crystallene R. Lagatic; Louis Carlo SF. Fornoles
2022 Computer ScienceHarvesting the rice plant too early resulted in a higher percentage of unfilled or immature grains, lowering production and increasing grain breakage during milling. However, harvesting rice too late resulted in severe losses and breakage. This problem pushed the researchers to create a model that h...
Hamadie Seed D. Alswaidi; Anthony B. Amilano; Felix Jose I. Awa; Marian Mildred D. Bedural
2022 Computer ScienceCoconut diseases cause production problem. In connection with this, the study aimed to gather and collect datasets of healthy coconut leaves and with coconut diseases particularly Graphiola Leaf Spot, Stigmina Leaf Spot, and Whiteflies; create a CNN model for detecting the specified coconut diseases...
Rose Ann R. Navales; Judy Ann Soliman; Marlou B. Toledo; Filbert O. Tucio
2022 Computer ScienceThe research, “Rice Paddy Moisture Content Classification using Convolutional Neural Network,” was created to assist rice farmers and dealers in classifying rice paddy to determine moisture content. Also, the researcher used an experimental research design to perform research in an objective and con...
Namirah L. Balindong; Arnold S. Sayat Jr.; Mat Andrew V. Tantiado; Rose Ann B. Sabilla; Mary Rose T. Lazaro
2022 Computer ScienceThe convolutional neural network is one of the most promising applications in computer vision. Deep learning-based classification has recently enabled the recognition of chickens from images. However, no research has been done on using the Convolutional Neural Network (CNN) Algorithm in image proces...