Precision Pest and Disease Management System based on Multidimensional Big Data
PPeDMaS combines mobile technology, early warning systems, and data-driven tools to support timely crop protection decisions.
We support farmers and institutions with practical tools to manage pest and disease risks and strengthen food security.
Empowering farmers and extension workers with the PlanteSaine app to instantly identify plant pests and diseases using advanced image recognition.
Giving researchers and policymakers access to drone and mobile phone image datasets to support predictive modelling and food security.
PPeDMaS uses data, artificial intelligence, mobile technologies and modelling approaches to support better pest and disease management in agriculture.
The project provides decision-support tools for farmers, extension officers, policy makers, and other agricultural stakeholders, with a focus on maize, tomato and onion production in Burkina Faso.
The digital solutions developed under PPeDMaS aim to give timely, precise information for pest and disease management in maize, onion and tomato.
PPeDMaS combines several kinds of data to support pest and disease management:
News, research and data outputs from the PPeDMaS project.
PPeDMaS introduced a set of digital tools targeting maize, tomato and onion crops in Burkina Faso, including a pest and disease database, mobile application, early warning system and informative brochures.
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The TOM2024 dataset brings together images of tomato, onion and maize crops collected in Burkina Faso for developing AI-based pest and disease classification models.
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Peer-reviewed papers cover the PlanteSaine app, the TOM2024 dataset, the pilot Early Warning System and farmers' experience of fall armyworm.
Read MoreResearchers and contributors whose work has supported the development of PPeDMaS data and digital solutions.
Project Lead. WASCAL Competence Centre, Ouagadougou.
WASCAL Competence Centre, Ouagadougou; University of Energy and Natural Resources, Sunyani, Ghana.
Directorate of Plant Protection and Packaging, Ministry of Agriculture, Animal Resources and Fisheries, Ouagadougou.
PPeDMaS is coordinated by WASCAL and implemented with the Ministry of Agriculture, Animal and Fishery Resources (MARAH) and Afrique Geosciences. It is funded through the AGriDI initiative, by the OACPS ACP Innovation Fund, financed by the European Union.
