Can PMFBY satellites decide a farmer’s claim? How YES-TECH estimates area yields, CROPIC records field damage, and the WhatsApp chatbot helps—plus the 72-hour reporting rule.

KVK drone demonstrations reached 4.27 lakh participating farmers—but the official data does not show how many later booked or repeated a local drone service.

TL;DR — the verdict: AgriStack is no longer merely a government pilot. By March 2026, India had generated about 9.2 crore Farmer IDs, roughly 84% of the national target, while the Digital Crop Survey had covered 23.5 crore plots across…

TL;DR: AI irrigation scheduling is not a magic pump switch. The useful systems combine calibrated soil sensors, crop and weather data, and a decision model that recommends when and how much to irrigate. Australia, Europe and the United States already…

A farm drone can cost several lakh rupees, needs a trained operator, and may sit idle for most of the year. For a small or marginal farmer, that makes ownership difficult to justify. A drone spraying service changes the calculation:…

Multispectral, thermal and hyperspectral drone cameras sound like rival gadgets — they're really a ladder of detail and cost. Here's what each one actually sees, in plain language, and which is genuinely worth it for an Indian farm today.

The agriculture drone subsidy is real — 40–50% for individual farmers, up to 80% for women's SHGs, 100% for KVKs. But the best rates go to groups, the out-of-pocket cost stays high, and only ~2,122 drones reached individuals nationwide. Who actually gets it, and how to claim.

AI 'outbreak alerts' bundle three things. In India, weather advisories (IMD's GKMS, ~5.56M farmers) and reactive pest ID (the National Pest Surveillance System) work today — but genuine predictive outbreak warnings for your field are still pilot-stage. Here's the honest split.

AI crop yield prediction works well for districts and states — that's how India's official FASAL system forecasts 11 crops. But the '90-95% accurate' claims rarely transfer to a 0.16-hectare plot the satellite can barely see. Here's the honest gap.

How accurate are AI crop disease apps like Plantix in a real Indian field? The honest gap between lab demos (95-99%) and field results (70-85%), and how to use a crop disease app without wasting money on the wrong spray.