No Internet? No Problem. How I Built a Crop Disease Detector for Rural India
Shivam Singh developed KhetAI, an offline AI crop diagnostic tool aimed at helping Indian farmers identify crop diseases. The tool allows farmers to take a photo of their affected crops and receive instant diagnoses and treatment recommendations in their native languages. KhetAI operates without internet connectivity, ensuring accessibility for rural communities where agricultural experts and resources are limited.
- ▪Indian farmers lose 20-30% of their harvest to undiagnosed crop diseases each year.
- ▪KhetAI provides instant diagnoses and treatment steps without requiring internet access.
- ▪The tool supports multiple Indian languages, making it user-friendly for local farmers.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3355053) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shivam Singh Posted on May 19 No Internet? No Problem. How I Built a Crop Disease Detector for Rural India #devchallenge #gemmachallenge #gemma Gemma 4 Challenge: Build With Gemma 4 Submission How I Built an Offline AI Crop Doctor for Indian Farmers Using Gemma 4 Every year, Indian farmers lose 20–30% of their harvest to crop diseases they cannot identify in time. Agricultural experts are concentrated in cities. Internet is unreliable in villages.
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