MARATTO

peer review

Review of: "Enhancing Cocoa Crop Resilience in Ghana: The Application of Convolutional Neural Networks for Early Detection of Disease and Pest Infestations"

2024Open accessIbn Tofail University

Abstract

Potential competing interests: No potential competing interests to declare.The paper demonstrates a well-structured layout, consisting of distinct sections that cover various aspects of the research.Additionally, the literature review provides relevant background information on AI's role in agriculture, with a specific focus on the cocoa industry.However, incorporating visual aids such as graphical representations of the methodology and utilizing tables or graphics to present results could enhance clarity and understanding.

Research topics

  • Cocoa and Sweet Potato Agronomy
  • Oil Palm Production and Sustainability
  • Coconut Research and Applications

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.32388/ncr2ck

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.