Sector
Food production, agriculture technology, alternative proteins, and food supply chain.
Precision Agriculture
Data-driven farming using sensors, AI, and analytics
The field
At a glance
Definition
Data-driven farming using sensors, AI, and analytics
Technologies
Satellite and drone multispectral imaging identifies crop stress, nutrient deficiency, and pest damage. Variable-rate application equipment delivers different amounts of inputs to different parts of a field. Soil sensors measure moisture, nutrients, and microbial activity in real time. AI agronomic models recommend optimal planting, fertilization, and irrigation decisions.
Applications
Variable-rate fertilization applies different amounts to different zones based on soil analysis, reducing waste by 15-25%. Drone-based crop monitoring identifies pest infestations before visible damage. Precision irrigation delivers water only where and when needed, reducing usage by 30-50%. AI planting optimization recommends seed variety and density for each field zone.
Market and funding
Precision agriculture uses sensors, drones, AI, and variable-rate equipment to optimize farming inputs (water, fertilizer, pesticides) field by field and row by row. With 1 funder.
Next door
Related sectors
Sector
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Sector
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