{
  "id": 13584994,
  "title": "KisanConnect Innohacks 4.0",
  "url": "https://urgent.news/2026/10/10/kisanconnect-innohacks-4-0",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-10T23:45:17.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/ujjwalsharma25/kisanconnect-innohacks-40-o1n"
  },
  "original_language": "en",
  "account": "KisanConnect is a new platform designed to help India's 100 million farming households make better decisions about their crops. The app, created by Team Code Hunters at Innohacks 4.0, offers personalized recommendations based on soil samples and leaf photos, as well as fertilizer advice, disease detection, yield prediction, weather forecasts, mandi prices, government schemes, and a marketplace for farm inputs. This all-in-one solution helps farmers make informed decisions about crop selection, fertilizer application, disease management, and more.",
  "summary": "This is a submission for the MLH x DEV Writing Challenge What I Built India has over 100 million farming households, and most of them make their biggest decisions on guesswork: what to plant this season, how much fertilizer to buy, whether those brown spots on a leaf are an emergency. The advice that exists is generic. It ignores the farmer's soil, climate and nutrient levels, and it rarely…",
  "key_points": [
    "KisanConnect platform aids 100 million Indian farmers",
    "App provides personalized crop recommendations",
    "Features include disease detection and weather forecasts"
  ],
  "editors_take": "KisanConnect's all-in-one platform shifts the balance for India's farming households by providing personalized, data-driven advice, potentially reducing reliance on intermediaries and increasing farmers' agency in decision-making.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}