Deep Farm Ivory Coast: Using AI to Revolutionize Cocoa Disease Detection

The cocoa sector, a true economic driver of Côte d’Ivoire, is facing a persistent threat: the Cacao Swollen Shoot Virus (CSSV). However, a new era is emerging with the integration of artificial intelligence (AI) and aerial imaging technologies. The Deep Farm project is now positioning itself as a decisive turning point in the fight against this disease.

A Groundbreaking Technological Advancement

Since its launch, Deep Farm has achieved significant milestones. In September 2024, a detailed mapping of a 3.5-hectare plot was carried out using drones, providing an initial assessment of the extent of the infection.

In January 2025, another key milestone was reached with the implementation of systematic data collection. High-resolution images of cocoa trees, capturing various stages of health and infection, were integrated into AI models under development. These data now feed algorithms capable of early disease detection and more effective intervention planning.

The collaboration between IT and agronomy specialists from partner institutions (ESATIC and INP-HB) is opening up promising prospects. Thanks to these technological advancements, farmers could soon have access to innovative and accessible solutions, radically transforming the sanitary management of plantations.

A Hopeful Future for the Cocoa Sector

Ongoing analyses will further refine detection models and optimize field intervention strategies.

With Deep Farm, technological innovation is becoming a crucial weapon for preserving the cocoa sector. This project paves the way for smarter and more sustainable agriculture, where science and nature come together for a prosperous future.