AgTech

Precision agriculture uses GPS-guided equipment, drone-based monitoring, satellite imagery, and AI-powered crop analytics to optimize inputs field by field. Computer vision identifies weeds, pests, and diseases from drone and tractor-mounted cameras. Soil sensors measure moisture, nutrients, and microbial activity in real time. Farm management platforms integrate weather data, market prices, equipment telemetry, and agronomic recommendations into unified decision-support systems.

In crop monitoring, satellite and drone imagery identifies nutrient deficiencies, pest infestations, and irrigation problems before they reduce yields. In input optimization, variable-rate application technology delivers different amounts of fertilizer, pesticide, or seed to different parts of a field based on AI analysis. In livestock, IoT sensors monitor animal health, feeding efficiency, and environmental conditions. In market access, digital marketplaces connect farmers directly with buyers, reducing intermediary margins.

The global agtech market is valued at approximately $32 billion and projected to exceed $55 billion by 2030, driven by precision agriculture adoption, farm management software, agricultural biologicals, and the integration of AI and drone technology into farming operations. With 706 funders in Superscout's database, AgTech is the largest child sector within Food & Agriculture and one of the most actively funded subsectors overall.