Greenda builds plot level AI pest advisory platform for farmers

Managing crop health across scattered farmland has long presented a difficult operational challenge for agricultural cooperatives and smallholder growers. Across traditional Mediterranean farming regions, monitoring pest risks across individual plots requires constant site visits, paper notes, and delayed record keeping. Munich-based agritech startup Greenda, founded in 2024, set out to streamline this fragmented field management process for modern agriculture. Led by co-founder and chief executive officer Chadi, the company developed an artificial intelligence advisory platform that unifies pest control, field communication, and regulatory compliance into a single digital hub for European growers.

The software connects local agricultural technicians directly with individual member farmers across regional cooperatives. Farmers working in their fields can quickly capture photos of potential crop threats on their mobile phones, even when working offline without active cellular coverage. Once network signal is restored, these photos and location notes automatically synchronise with a central photo review queue for cooperative advisors. Agronomists can then evaluate the submitted images, verify pest treatment thresholds for specific crops like citrus or persimmon, and send customised treatment plans detailing exact products, application timing, and dosages directly to the farmer's mobile screen.

Beneath the practical user interface lies a structured system designed for accurate pest prediction and mandatory record keeping. Greenda incorporates a thermal integral graph that calculates accumulated degree days by pest and plot, following established agricultural methods such as the IVIA model to anticipate infestations early. The platform organises every field note, treatment recommendation, and photo into a single unified thread per plot, serving as a plot-level source of truth for both technicians and members. Additionally, the software structures treatment data for digital notebook exports, helping farmers stay fully compliant with European environmental reporting rules.

Bringing this digital tool to rural agricultural communities requires a deliberate focus on user adoption and practical utility. Go to market lead Rahul Jaglan directs localised campaigns in primary markets like Spain, helping traditional cooperatives understand how practical artificial intelligence can enhance routine farm decisions. Backed by strategic investor TDK, Greenda has already deployed its plot-level software across three agricultural regions in Spain. Rather than delivering complex abstract data dashboards, the software focuses directly on the daily workflows of cooperative technicians and independent farmers who require actionable guidance in the field.

This focus on functional field intelligence has already earned the Munich business notable visibility within the agritech sector. Greenda was recognised as a finalist for Best AgriTech Startup at Expo AgriTech 2026 for its specialised pest early warning software. Looking ahead, the company will present its technical platform to international investors and industry leaders in Lisbon after being selected for the Web Summit PITCH 2026 cohort. By turning manual field notes into actionable plot insights, Greenda is building a practical path toward modern crop advisory work across European farming networks.

Find out more at greenda.ai