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8 Results Found

  • Data Descriptor
  • Open Access
5 Citations
4,802 Views
10 Pages

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

  • Juan Felipe Restrepo-Arias,
  • María Isabel Salinas-Agudelo,
  • María Isabel Hernandez-Pérez,
  • Alejandro Marulanda-Tobón and
  • María Camila Giraldo-Carvajal

18 June 2023

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 on artificial neural networks (ANNs), better known as deep learning. In...

  • Article
  • Open Access
2 Citations
3,075 Views
36 Pages

An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN

  • Juan Felipe Restrepo-Arias,
  • María José Montoya-Castaño,
  • María Fernanda Moreno-De La Espriella and
  • John W. Branch-Bedoya

The accurate classification of cocoa pod ripeness is critical for optimizing harvest timing, improving post-harvest processing, and ensuring consistent quality in chocolate production. Traditional ripeness assessment methods are often subjective, lab...

  • Article
  • Open Access
21 Citations
9,888 Views
14 Pages

Influence of Fermentation and Drying Materials on the Contamination of Cocoa Beans by Ochratoxin A

  • Sébastien Djédjé Dano,
  • Pierre Manda,
  • Ardjourma Dembélé,
  • Ange Marie-Joseph Kouassi Abla,
  • Joel Henri Bibaud,
  • Julien Zroh Gouet and
  • Charles Bruno Ze Maria Sika

28 November 2013

Ochratoxin A (OTA) is a mycotoxin produced mainly by species of Aspergillus and Penicillium. Contamination of food with OTA is a major consumer health hazard. In Cote D’Ivoire, preventing OTA contamination has been the subject of extensive study. The...

  • Article
  • Open Access
22 Citations
5,197 Views
14 Pages

UHPLC–MS Characterization, and Antioxidant and Nutritional Analysis of Cocoa Waste Flours from the Peruvian Amazon

  • Gabriel Vargas-Arana,
  • Claudia Merino-Zegarra,
  • Miguel Tang,
  • Mariano Walter Pertino and
  • Mario J. Simirgiotis

Cocoa (Theobroma cacao) is a food product used worldwide and a key raw material for chocolate manufacturing. Cocoa possesses bioactive compounds such as methylxanthines, flavonoids, procyanidins, and related molecules with medicinal or health-promoti...

  • Article
  • Open Access
2,033 Views
15 Pages

26 August 2025

Cocoa pod husk (CPH), the principal by-product of cocoa processing, represents an abundant and underutilized source of bioactive phenolics with potential applications in the food and nutraceutical sectors. This study optimized the extraction of catec...

  • Article
  • Open Access
19 Citations
5,580 Views
18 Pages

Exploitation of Cocoa Pod Residues for the Production of Antioxidants, Polyhydroxyalkanoates, and Ethanol

  • Licelander Hennessey Ramos,
  • Miluska Cisneros-Yupanqui,
  • Diana Vanessa Santisteban Soto,
  • Anna Lante,
  • Lorenzo Favaro,
  • Sergio Casella and
  • Marina Basaglia

Cocoa pod husks (CPH) and cocoa bean shells (CBS) are the main by-products of the cocoa industry and a source of bioactive compounds. These residues are not completely used and thrown in the fields without any treatment, causing environmental problem...

  • Article
  • Open Access
10 Citations
5,090 Views
19 Pages

Structural and Functional Genomics of the Resistance of Cacao to Phytophthora palmivora

  • Jonathan Javier Mucherino Muñoz,
  • Cláusio Antônio Ferreira de Melo,
  • Raner José Santana Silva,
  • Edna Dora Martins Newman Luz and
  • Ronan Xavier Corrêa

Black pod disease, caused by Phytophthora spp., is one of the main diseases that attack cocoa plantations. This study validated, by association mapping, 29 SSR molecular markers flanking to QTL (Quantitative Trait Loci) associated with Phytophthora p...

  • Article
  • Open Access
13 Citations
8,854 Views
25 Pages

Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D’Ivoire

  • Stefano Ferraris,
  • Rosa Meo,
  • Stefano Pinardi,
  • Matteo Salis and
  • Gabriele Sartor

3 September 2023

Machine learning can be used for social good. The employment of artificial intelligence in smart agriculture has many benefits for the environment: it helps small farmers (at a local scale) and policymakers and cooperatives (at regional scale) to tak...