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Completed Project
Smarticulture: Novel AI-Powered Farming Technique for Crop Yield Optimization
Novel farming automation system integrating environmental sensor networks and predictive AI to optimize irrigation and crop yield.
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RoleAuthor & Lead Researcher
Timeline2022
TeamResearch Project
Tech Stack6 Technologies
Mission Brief
Published in the International Journal for Research in Applied Science and Engineering Technology (IJRASET, 10(6):1198–1201; DOI 10.22214/ijraset.2022.43996). Implements an intelligent edge-computing and cloud AI framework that monitors soil chemistry, weather trends, and crop health to automate micro-irrigation and fertilizer distribution.
Key Features
AIoT Telemetry & Control
- Automated soil moisture, NPK, and ambient weather telemetry.
- Predictive neural model forecasting optimal hydration cycles.
Visual Gallery
IMG_01
Project Access
Technologies
AI
IoT
Sensor Networks
Edge AI
Predictive Modeling
IJRASET
Table of Contents
- • Mission Brief
- • Key Features
- • Visual Gallery
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