DAAfrica 2024
Data Science for Agriculture in Africa 2024

Table of Contents

• Preface 1-2
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume.
• Lightweight Deep Learning for Weather Prediction and Forecasting in Africa 3-7
  Kinyua Gikunda, Nicolas Jouandeau
• Advanced Binary Classification for Disease Detection in Trees Using a novel Machine-Deep Learning method 8-12
  Marouane Kihal, Lamia Hamza, Mohammed Charif Kihal
• Lightweight segmentation of UAV images for early detection of maize leaf diseases 13-22
  Arnaud S. R. M. Ahouandjinou, Ambroise D. K. Houedjissin, Manhougbé Probus A. F. Kiki, François Xavier Amétépé, Kokou M. Assogba
• Explainable and Interpretable Dry Beans Classification using Soft Voting Classifier 24-36
  Belayneh Dejene, Gizachew Setegn, Selamawit Belay
• The effect of planning horizon length and green manure on net income in Crop Rotation Problem 39-50
  Akouyo Yvette Gbedevi, Kossi Atchonouglo, Sid Ahmed Lamrous, Marie-Ange Manier
• Towards the digitalization of Cameroonian agriculture: current situation, challenges and prospects 51-57
  André Mbairanodji, Founadoudou, Daquin Cédric Awouafack, Garba Bouba Boïga
• Bibliometric and economic analysis in precision agriculture 58-67
  Vinablo K. Dominique Dagbelou, Souleymane Bah, Souleymane A. Adekambi, Jacob A. Yabi