Top 3 AI Aspects in Transforming Agriculture

The following are the top three ways AI is transforming agriculture:

Crop and Soil Monitoring: Micro and macronutrients in the soil are a critical role in crop health and yield quality. AI technologies, such as computer vision and drones (UAVs), allow for intelligent monitoring of crop and soil conditions. Therefore, visual sensing AI can analyze aerial image data in regard to:

• Tracking crop health.
• Making accurate yield predictions.
• Detecting crop malnutrition faster.

Insect and Plant Disease Detection: Farmer livelihoods and food security are increasingly at risk from plant diseases and pests. AI can help detect pests and diseases early, allowing farmers to be able to take preventive measures. Machine learning models trained on historical data can then be used to identify patterns associated with specific diseases or pests.

Livestock Health Monitoring: Ensuring the health and well-being of livestock is a crucial aspect for efficient farming. AI-powered sensors and wearable devices can monitor livestock health parameters such as body temperature, heart rate, and behavior. Such predictive analytics can help farmers to anticipate health issues, optimize feeding schedules, and prevent disease outbreaks.