Artificial Intelligence in Agriculture
A special issue of AI (ISSN 2673-2688).
Deadline for manuscript submissions: 31 January 2025 | Viewed by 30057
Special Issue Editor
Interests: artificial intelligence; computer vision; parallel computing; embedded systems; secure and trustworthy systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The agriculture industry has long used technology to improve farming practices and yield. However, traditional technological methods alone are not sufficient to provide for the increasing world population. It is estimated that food production needs to increase by approximately 60% in order to feed an additional two billion people in 2050. This need for increased food production is driving farmers and the agriculture industry to devise newer ways of increasing production, improving crop quality, and reducing waste and nitrogen footprint. Artificial intelligence (AI) is emerging as a promising solution for the agriculture industry to meet the food challenges in coming years. AI can be utilized in various stages of farming and food production, from seed sowing to monitoring and harvesting. AI is also an important enabling technology for precision agriculture. AI can be used for crop monitoring to detect diseases, nutrient deficiencies, and pest infestation. AI can also be used for soil monitoring to detect nutrient deficiencies and defects in soil. Moreover, AI can be used for weed detection, and then for intelligently and precisely spraying herbicides in the right areas to reduce the usage of herbicides. AI-enabled autonomous agricultural robots outfitted with different sensors and actuators can assist not only in crop harvesting and fruit picking, but also in crop and soil monitoring. AI can also provide predictive insights for maximizing crop productivity, such as predicting the impact of weather conditions on crops. Predictive analytics can help predict the best time to sow the seeds. AI can also be utilized for predicting crop yields, and for forecasting the price of crops in the coming weeks.
This Special Issue on “Artificial Intelligence in Agriculture” focuses on fundamental and applied research targeting AI in all stages of agriculture, from soil preparation to the sowing of seeds, addition of fertilizers, irrigation, weed protection, harvesting, storage, packing, and transportation. Topics of interest include but are not limited to the following:
- Smart farming and agriculture;
- AI-assisted precision agriculture;
- AI-based soil and plant nutrient analysis;
- AI-assisted sowing;
- Computer vision in agriculture;
- Spatial AI-based agricultural robotics;
- AI-based crop monitoring;
- AI-based disease detection in crops;
- AI-based pest infestation detection and management;
- Intelligent irrigation for agriculture;
- Intelligent spraying of crops;
- AI-assisted phenotyping and genotyping;
- Predictive analytics for agriculture;
- Computational intelligence in agriculture;
- Livestock health monitoring;
- Smart Internet of things in agriculture;
- Edge AI in agriculture;
- AI in food supply chain.
Dr. Arslan Munir
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- agriculture
- smart farming
- precision agriculture
- agricultural robotics
- intelligent irrigation
- crop monitoring
- predictive analytics
- computational intelligence
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