ASTU Mech's advanced crop disease detection system helps farmers identify plant diseases early and accurately using artificial intelligence.
Our AI analyzes crop images with precision, identifying subtle signs of disease invisible to the naked eye.
ASTU Mech robots can autonomously scan fields, collecting data for continuous monitoring.
Get instant analysis and historical trends to predict and prevent disease outbreaks.
Drag & drop your image here or click to browse
Supports: JPG, PNG (Max 5MB)
Upload an image of a crop leaf to analyze for potential diseases.
Our AI has analyzed your image and detected potential issues.
High confidence (92%)
Apply chlorothalonil or mancozeb every 7-10 days
Avoid overhead irrigation to reduce leaf wetness
Remove infected leaves to prevent spread
Our AI is processing your image to detect potential diseases...
Caused by Phytophthora infestans, this disease causes dark lesions on leaves and stems.
White powdery spots on leaves and stems caused by fungal pathogens.
Small, dark, raised spots on leaves caused by Xanthomonas bacteria.
ASTU Mech is an innovative agricultural technology initiative developed by Mintesinot Kasa at Adama Science and Technology University, combining robotics and artificial intelligence to revolutionize farming practices.
Our mission is to empower farmers with cutting-edge tools that increase crop yields, reduce losses from disease, and promote sustainable agricultural practices through precision technology.
Backed by Adama Science and Technology University's agricultural research
Validated with real-world data from Ethiopian farms
Designed specifically for the needs of local farmers
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