Application of Artificial Intelligence (AI) in agriculture
- Crop and Soil Monitoring: Drones equipped with cameras capture aerial images, which AI models analyze to track crop health, predict yields, and detect malnutrition.
- Insect and Plant Disease Detection: AI-powered systems can identify pests and diseases early, enabling targeted interventions and reducing crop losses.
- Livestock Health Monitoring: Sensors and AI algorithms help monitor the health of livestock, detecting anomalies and improving overall herd management.
- Intelligent Spraying: AI-driven sprayers optimize pesticide and fertilizer application, minimizing waste and environmental impact.
- Automatic Weeding: AI identifies and targets weeds, reducing the need for manual labor and herbicides.
- Aerial Survey and Imaging: Drones equipped with AI analyze fields, providing insights on irrigation, soil health, and crop growth.
- Produce Grading and Sorting: AI systems assess the quality of harvested produce, ensuring consistent standards.
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Dr. Bbosa Science
CATEGORIES General
TAGS Dr. Bbosa Science