AuToDiDAC: Automated tool for disease detection and assessment for cacao black pod rot

• Main Authors: Tan, Daniel Stanley, Leong, Robert Neil F., Laguna, Ann Franchesca B., Ngo, Courtney Anne M., Lao, Angelyn, Amalin, Divina M., Alvindia, Dionisio G.
• Format: text
• Published: Animo Repository 2018
• Subjects: Phytophthora pod rot of cacao; Cacao—Diseases and pests; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2331; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3330/type/native/viewcontent
• Institution: De La Salle University

Pest control strategies for crop diseases highly depend on visual inspection to assess the severity of the infection, which usually lead to inconsistencies: either over or under assessment. These inconsistencies could be attributed to the limitations of humans to perceive small differences. A more p...