Advances in the Use of Artificial Intelligence (AI)/Machine Learning (ML) and IoT in the Primary Sector

Dear Colleagues,

Artificial Intelligence (AI), and Machine Learning (ML) more generally, have been used in a variety of fields of application. Images, as well as other signals generated by IoT sensors, can be efficiently processed using AI or ML techniques. In the primary sector, AI and ML can be used to process signals from cameras and IoT sensors for crop, livestock, as well as fish culture monitoring. Diseases can be diagnosed early, and harvesting time can be optimally scheduled to achieve the highest production efficiency with the lowest cost and the lowest environmental impact.

This Special Issue of Electronics will provide a forum for presenting novel AI and ML approaches on data captured by IoT sensors and cameras in primary sector applications. The images can be captured from mobile devices, UAVs, or underwater cameras. Original research articles and review papers are both welcome.

Topics of Interest of this Special Issue include, but are not limited to:

• AI/ML in precision agriculture applications:
  • Crop monitoring;
  • Exploiting UAVs and aerial photographs in crop monitoring;
  • Maturity of fruit selection;
  • Plant disease recognition;
  • Robotics in precision agriculture;
  • Irrigation control;
  • Pollution monitoring.
• AI/ML in livestock monitoring:
  • Animal activity;
  • Health monitoring;
  • Animal health certification;
  • Sensors for livestock.
• AI/ML in fish cultures:
  • Fish biometric feature measurement;
  • Fish health monitoring;
  • Fish waste management;
  • Fish culture pollution monitoring;
  • Submarine vehicles for fish culture monitoring.

Dr. Nikos Petrellis
Prof. Dr. Nikolaos Voros
Dr. Christos P. Antonopoulos
Guest Editors

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