Integrating AI and Citizen Science for Monitoring and Decision-Making in Agricultural Systems: A Framework for Innovation and Inclusivity

This publication has 48 references indexed in Scilit:

• Precision agriculture in the age of AI: A systematic review of machine learning methods for crop disease detection
  Smart Agricultural Technology, 2025
• Transfer learning in agriculture: a review
  Artificial Intelligence Review, 2025
• Innovative Digital Technologies to Monitor and Control Pest and Disease Threats in Root, Tuber, and Banana (RT&B) Cropping Systems: Progress and Prospects
  2022
• Deep learning techniques to classify agricultural crops through UAV imagery: a review
  Neural Computing and Applications, 2022
• A random forest-based algorithm for data-intensive spatial interpolation in crop yield mapping
  Computers and Electronics in Agriculture, 2021
• Citizen science breathes new life into participatory agricultural research. A review
  Agronomy for Sustainable Development, 2020
• Mapping citizen science contributions to the UN sustainable development goals
  Sustainability Science, 2020
• Deep learning in agriculture: A survey
  Computers and Electronics in Agriculture, 2018
• The accuracy of farmer-generated data in an agricultural citizen science methodology
  Agronomy for Sustainable Development, 2017
• Big Data in Smart Farming – A review
  Agricultural Systems, 2017