[HTML][HTML] Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces

KJ Ayikpa, AB Ballo, D Mamadou… - Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
Determining the maturity of cocoa pods early is not just about guaranteeing harvest quality
and optimizing yield. It is also about efficient resource management. Rapid identification of …

RipSetCocoaCNCH12: Labeled Dataset for Ripeness Stage Detection, Semantic and Instance Segmentation of Cocoa Pods

JF Restrepo-Arias, MI Salinas-Agudelo… - Data, 2023 - mdpi.com
Fruit counting and ripeness detection are computer vision applications that have gained
strength in recent years due to the advancement of new algorithms, especially those based …

Klasifikasi Kematangan Buah Naga Berdasarkan Fitur Warna Menggunakan Algoritma Multi-Class Support Vector Machine

N Arifin - Jurnal Informatika Teknologi dan Sains (Jinteks), 2023 - jurnal.uts.ac.id
The classification of dragon fruit maturity directly by farmers has weaknesses because it is
influenced by the subjective factors of these farmers such as fatigue and other physical …

Detection of Chronic Myelogenous Leukemia Applying Support Vector Machine and Feature Extraction

YBL Macatol, SVS Geronimo… - … on Advances in …, 2023 - ieeexplore.ieee.org
This paper employs image processing and artificial intelligence to detect Chronic
Myelogenous Leukemia (CML) in peripheral blood smear images. The study's objective is to …

Development of a Database for the Classification of the Severity of Algal Bloom with the Implementation of Support Vector Machine

RV Lanuza, RDF Magday… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This research focuses on the creation of a database for classifying the severity of algal
blooms in water samples from Laguna Lake. The major goal was to create a system with a …

A Cocoa Ripeness Detection and Classification Model Based on Improved YOLOv5s

A Ayubi, M Faiz, GB Situmorang… - … Concept, Theory and …, 2023 - ieeexplore.ieee.org
The present study introduces a novel approach to identifying the maturity of cacao fruits,
utilizing YOLOv5s in tandem with the Convolutional Block Attention Module (CBAM). The …

[PDF][PDF] HORTICULTURE SMART FARMING FOR ENHANCED EFFICIENCY IN INDUSTRY 4.0 PERFORMANCE

N Arifin, CN Insani, M Milasari… - … Teknik Informatika (Jutif), 2024 - jutif.if.unsoed.ac.id
Chili peppers and papayas are important horticultural commodities in Indonesia with high
economic value. To enhance productivity and efficiency in cultivating these crops, the …

Ornamental Plant Classification System Using Image Processing and Machine Learning

MQ Deveraturda, DRD Reyes… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have been extensively studied for plant
classification. Previous research primarily focused on herbs, plant diseases, and flowers …

Identification of Urban Sounds with Haptic Feedback using Raspberry Pi and LSTM-SVM

KKT Morales, CJG Castillo… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Sound is a physical phenomenon in the form of vibration that contains information. This
information is perceived by humans using auditory senses to contextualize their surrounding …

Klasifikasi Tingkat Kematangan Buah Tomat menggunakan Computer Vision untuk Smart Agriculture

N Arifin, CN Insani, MR Rasyid - … SAINTIKOM (Jurnal Sains …, 2023 - ojs.trigunadharma.ac.id
Klasifikasi tingkat kematangan buah tomat merupakan salah satu aspek penting dalam
industri pertanian. Identifikasi yang akurat dan efisien terhadap kematangan buah tomat …