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AGRIPULES

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AGRIPULES
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Project Description

AgriPulse is a data-driven agriculture platform that unifies farmers, finance, and markets. Using Al, satellite, and field data, it predicts crop health, improves yields by 15-20%, enables fair financing, and builds a transparent, sustainable agricultural ecosystem.

Problem

Agriculture suffers from limited data, guesswork-based decisions, and fragmented systems. Smallholder farmers lack access to timely insights, finance, and markets, while institutions struggle with reliable farm-level data—resulting in low yields, higher risk, and inefficient, unsustainable supply chains.

Problem 1

Farming decisions rely on guesswork due to lack of real-time, reliable agricultural data and predictive insights.

Problem 2

Smallholder farmers have limited access to finance, quality inputs, and stable, transparent markets.

Problem 3

Fragmented agricultural ecosystems prevent efficient coordination between farmers, financiers, and buyers.

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Solution

AgriPulse delivers a unified, AI-powered digital ecosystem that transforms agriculture through predictive insights, data transparency, and seamless connections between farmers, finance, and markets.

Predictive Intelligence

AI-driven insights from satellite, sensor, and field data to improve crop health and yields.

Digital Finance

Data-backed credit scoring, insurance, and payments enabling fair access to agricultural financing.

Unified Marketplace

A transparent ecosystem connecting farmers, buyers, and logistics with traceable trade.

Research Phase

Research

Understanding needs through insights

Develop Phase

Develop

Building scalable products

Brainstorming Phase

Brainstorming

Shaping ideas into solutions

Design Phase

Design

Crafting intuitive UI experience

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IMPACT

The Result

AgriPulse enabled data-driven farming with 15-20% yield improvements, 87% AI crop prediction accuracy, and reduced waste. Over 500 farmers were empowered through digital advisory, fair financing, and transparent market access-proving scalable, sustainable precision agriculture in real-world conditions.

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