Get More, Using Less
Crop producers face mounting financial pressure from resource inefficiencies, spending over $51 billion annually on fertilizers and pesticides in the US alone. AI can help crop producers make targeted resourcing decisions about water, fertilizer, and pest control, boosting efficiency and sustainability.
The Problem
Globally, agriculture consumes 70% of accessible freshwater, yet wastes approximately 60% through inefficient irrigation systems and poor application methods. These practices drive up operational costs while degrading soil quality and contaminating water sources -- creating a cycle that threatens both farm profits and environmental sustainability.
The AI Opportunity
AI can help crop producers determine optimal resource levels, reduce waste, and improve yields and sustainability. Using real-time data from sources such as sensors, satellite imagery, and environmental inputs, AI systems can deliver precise recommendations for water, fertilizer, and pesticide use.
Why It Matters
Efficient resource management is essential for crop producers to reduce operational costs, maximize yields, and protect the land. By adopting data-driven practices, farmers can achieve higher profitability while preserving natural resources and ensuring long-term sustainability for their operations.
Benefits & Impact
Reduced Costs
Optimize input usage to lower expenditures on water, fertilizers, and pesticides.
Improved Yield
Tailored recommendations boost crop productivity by ensuring efficient resource use.
Environmental Protection
Reduced runoff, soil degradation, and water contamination safeguard ecosystems and resources.
AI Methods & Models
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