This app uses artificial intelligence to diagnose crop diseases and notify East African farmers. Developed by researchers at Pennsylvania State University and the International Institute of Tropical Agriculture (IITA), the AI app identifies cassava problems. After being awarded a grant recently, the team plans to expand the app's capabilities to include banana, root and tuber diseases.
In addition to being able to find crop diseases even when the plant looks healthy, the app also has a text message service. This enables farmers to contain the spread of disease and react sooner to problems.
This is an example of how technology can be used to address the issue of food insecurity. Connected crop care concepts like this one also indicate how farmers can easily share knowledge.
Crop Disease-Diagnosing Apps
This App Identifies Crop Diseases Using Artificial Intelligence
Trend Themes
1. AI-driven Crop Disease Diagnosis - Developing artificial intelligence-based crop disease diagnosis apps creates an opportunity for more efficient and accurate diagnoses in agriculture.
2. Expansion of Connected Crop Care - Expanding the capabilities of crop disease diagnosis apps, like the one developed by Pennsylvania State University and the International Institute of Tropical Agriculture, creates an opportunity for farmers to easily share knowledge and prevent the spread of disease.
3. Text Message Services for Farmers - Creating text message services like the one in the AI crop disease diagnosis app enables farmers to act sooner and contain the spread of crop diseases.
Industry Implications
1. Agriculture - The agriculture industry can leverage AI-driven crop disease diagnosis apps to enhance food security and optimize crop yields.
2. Technology - Technology companies can innovate by developing AI-based solutions to address food insecurity in agriculture.
3. Mobile Communications - Mobile communications companies can support farmers by creating more text message-based services that enable efficient communication in the agriculture industry.