AgroAlert-System
for Future, for Human for World!
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Denizhan Şahin

AgroAlert-System - for Future, for Human for World!

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This project is a comprehensive smart farming platform that combines modern agricultural techniques with technology, enabling farmers to remotely monitor, analyze, and manage their fields. The system consists of a web interface, a powerful backend, a PostgreSQL database, and a Raspberry Pi-based IoT device.

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Denizhan Şahin
Maker
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Hi Product Hunt! 👋 We built AgroAlert to bridge the gap between manual field inspections and low-resolution satellite imagery. Our vision is to empower farmers and environmentalists with 'Digital Eyes' that work 24/7. By leveraging Edge AI on Raspberry Pi and a robust NestJS backend, we created a hardware-agnostic solution that detects threats before they turn into disasters. Whether it's a wheat field in Anatolia or a new forest in Europe, AgroAlert is there to protect our food security and planet. Can't wait to hear your feedback! AgroAlert is an autonomous Edge AI monitoring system designed to protect vast agricultural lands and reforestation projects. Unlike traditional methods, it processes high-resolution images locally on the field before transmitting only critical data to the cloud. Key Features: Real-time Threat Detection: Identifies pests and diseases (Sunn pests, rust, fungi) at their earliest stages. Edge AI Performance: Processes data on-site using YOLOv8, ensuring efficiency even in low-connectivity rural areas. Sustainability: Enables surgical interventions, reducing pesticide use by up to 50%—aligning with EU Green Deal goals. Ecosystem Monitoring: Scalable for forestry and afforestation, tracking sapling health and biodiversity changes.