The problem we framed
Higher input costs, soil degradation, and environmental harm can all come from applying more fertilizer than a field needs. The challenge was to support practical decisions without adding unnecessary complexity for rural users.
Smart India Hackathon 2025 · Problem 1639
ECOYIELD
A precision-agriculture concept that combines field sensors, machine learning, and practical recommendations to help farmers use fertilizer more intelligently.
AI × IoT
for soil
for soil
TeamEcoYield
ThemeAgriculture & FoodTech
CategorySoftware
OutcomeLearning through iteration
The opportunity
Better inputs.
Better yield.
Farmers can overuse fertilizer when they do not have timely, localized information about soil and crop conditions. EcoYield was our attempt to make those decisions more precise: measure what is happening in the field, combine it with context, and turn the result into a recommendation that is easier to act on.
The product idea
EcoYield brings soil readings, weather conditions, and historical patterns into one workflow. The output is a focused recommendation rather than another dashboard to interpret.
How it works
Sense
Collect NPK, pH, moisture, and temperature readings through a low-power ESP32 sensor unit.
Connect
Transmit field data over LoRa and make it available to the application layer through AWS IoT.
Recommend
Use machine-learning models and context to surface a practical fertilizer recommendation for the farmer.
System design
ControllerESP32
SensorsNPK · pH · Moisture · Temperature
WirelessLoRa · SX1276 / SX1278
IntelligencePython · TensorFlow · Scikit-learn
ExperienceAWS IoT · Android app
Why it matters
Lower waste
More precise recommendations can reduce unnecessary fertilizer use and lower avoidable input costs.
Healthier soil
Better-informed application supports long-term soil health instead of optimizing only for one harvest.
Accessible decisions
A focused mobile experience can make technical insights more approachable for rural communities.
A candid note
We were not selected for the final round.
That outcome did not make the work less valuable. Building EcoYield strengthened our foundation in AI, IoT, cloud integration, research, and collaboration. More importantly, it taught us to connect technical ambition with the daily reality of the people a product is meant to serve.
The team
Built together.
EcoYield was a collaborative project created by a multidisciplinary student team for Smart India Hackathon 2025.
Aashif MAhamed HMuzzammilHarshavardhanNawf AbdullahKrithika