Building the Future of
Mushroom Farming in Nepal
We are final-year Computer Engineering students at Nepal Engineering College, on a mission to transform how oyster mushroom farmers detect disease, access expertise, and grow sustainable crops.
Empowering farmers with technology they can trust
Nepal produces 8–10 tonnes of mushrooms daily, yet farmers in rural areas surrounding Pokhara, Narayanghat, and the Kathmandu Valley continue to suffer significant financial losses from undiagnosed diseases. Without access to agronomists, many resort to guesswork — leading to overuse of pesticides and avoidable crop failures.
Our platform bridges this gap. By leveraging a DenseNet Convolutional Neural Network trained on locally sourced images from farms across the Bagmati Pradesh region, we provide instant, accurate disease identification and actionable treatment recommendations — directly in farmers' hands.
Beyond detection, the platform connects farmers with certified agronomists, offers a marketplace for cultivation supplies, and serves as a channel for government subsidy information — building a complete ecosystem for modern mushroom farming in Nepal.
Powered by Deep Learning
We trained and compared three CNN architectures — NASNet, VGG16, and DenseNet201 — on a custom dataset of 2,744 oyster mushroom images collected from farms in Sallaghari, Duwakot, Godavari, and Dhading. DenseNet emerged as the top performer with 95% accuracy across five disease categories.
The people behind the platform
Nepal Engineering College