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AI Soil Health & Crop Optimization System Patent Pending

[Category : - Agriculture]
[Viewed 403 times]

This invention is an autonomous soil health and precision agriculture platform that combines real-time sensing, AI analytics, and targeted intervention to maximize crop yield while reducing chemical use.rnrnIt integrates:rnrnSmart soil probes that continuously monitor moisture, nutrient levels, pH, and microbial activity.rnrnAI-driven analytics that detect nutrient imbalances, pest risks, or disease precursors before they impact crops.rnrnAutomated micro-dispensers (mounted on drones or ground bots) that apply exactly the right amount of water, fertilizer, or biocontrol agents to each plant zone.rnrnBlockchain-based tracking for transparent reporting of crop health, input use, and sustainability metrics.rnrnrnIt solves the global problem of overuse of fertilizers and water, which costs farmers billions annually, degrades soil, and accelerates climate change — while ensuring higher yields with lower input costs.rnrnBenefits over existing solutions:rnrnContinuous, underground monitoring vs. occasional surface sampling.rnrnAI precision dosing ? less waste, less pollution, healthier crops.rnrnModular deployment ? scalable from small farms to industrial agriculture.rnrnCarbon-positive farming ? encourages microbial activity and soil carbon sequestration.rnrnrnThis invention transforms farming into a data-driven, autonomous system that boosts productivity while restoring soil health.rn

Financial information

The global agriculture technology market is projected to exceed $40 billion by 2030, with precision agriculture as a key driver.

Fertilizer inefficiency wastes over $100 billion annually worldwide, while also polluting water and air.

Water scarcity is expected to affect 40% of global cropland by 2035 — making optimized irrigation a billion-dollar necessity.

Governments, agribusiness giants, and sustainability funds are investing heavily in technologies that increase yields while cutting environmental impact.

Revenue pathways:

Hardware + subscription model ? farmers buy probes and drones, then pay for ongoing AI insights.

Licensing to agribusinesses (fertilizer, seed, irrigation companies).

Carbon credit integration ? farmers earn revenue from verifiable carbon sequestration.

Government/NGO contracts ? large-scale deployments in food security programs.

By merging soil science, AI, and automation, this invention creates a new foundation for resilient agriculture, addressing both food security and climate goals.

Patent publications:

No publication

Asking price:

100,000 USD

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Seller:

chels99 (United Kingdom)

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