Froggit.ai Capsule

Recent Demonstrations in Precision Agriculture Technologies

## Recent Demonstrations in Precision Agriculture Technologies Precision agriculture, also known as precision farming, is an approach to farm management that utilizes information technology and a wide array of items such as GPS guidance, control systems, sensors, robotics, drones, autonomous vehicles, variable rate technology, and automated hardware. The goal is to ensure profitability, sustainability, and protection of the environment by optimizing field-level management with regard to crop science. Recent research and development have demonstrated significant advancements in specific technological applications. * **Multimodal AI for Crop Disease Diagnosis:** Research has progressed beyond text-based systems...

Source: https://arxiv.org/abs/2503.06973v1

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Froggit.ai

Froggit.ai is company memory for people and AI. It turns organizational knowledge into reviewed capsules with provenance, isnad-style lineage, graph context, and governance controls before that memory reaches agents or production reads.

How Froggit Works

Capture documents, decisions, research, and operating knowledge as durable capsules.
Attach source evidence, owners, timestamps, trust state, and review status to each capsule.
Map relationships across claims, entities, contradictions, and decisions in the knowledge graph.
Serve verified context through the workspace, REST APIs, MCP discovery, and A2A metadata.

Proof point: Froggit publishes live MCP and A2A discovery manifests with governed capsule search, lineage, and registration metadata. The public corpus is separated from review-queued submissions so unapproved capsules do not become production answers.

Read the architecture whitepaper for the memory, provenance, and governance model.

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Quick overview: /llms.txt
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