AgriSense

Smart AI-Based Farming and Automation System

"Empowering farmers with intelligent, data-driven agriculture for a sustainable future."

Works online with full features — AI, login, and live data · see the demo ↓

Act now 06:40 · Zone B3
Water Zone B3 now.
soil moisture 19% · no rain for 72h · pump ready on relay 1
Problem statement

Farmers don't lack effort. They lack real-time answers.

Today's farming runs on guesswork: when to water, how much fertilizer, what the weather will do. The data that could answer these questions either doesn't reach the field — or arrives as charts that demand expert knowledge to read.

"Farmers face low crop yield due to lack of real-time soil monitoring, inefficient use of water and fertilizers, unpredictable weather, and limited access to modern technology — leading to poor productivity."

No real-time soil and crop monitoring

Overuse or underuse of water and fertilizers

Weather unpredictability impacting yield

Low productivity from manual labor and guesswork

Proposed solution

Sense it. Decide it. Do it.

AgriSense is an AI-powered smart farming system that integrates field sensors, controllers, and cloud analytics — then closes the loop by acting on its own recommendations.

IoT Hardware

ESP32/Arduino microcontrollers with soil moisture, temperature, humidity, and NPK nutrient sensors — reading your field's real conditions, in real time.

AI Analytics

A cloud-based AI engine compares live readings against ideal farming parameters, detects stress early, and predicts crop growth and health.

Smart Control

Automated irrigation and fertilizer delivery through a pump-and-relay system — triggered by AI recommendations, always with the farmer in control.

Prototype hardware: ESP32 · capacitive soil moisture sensor · DHT temperature & humidity sensor · NPK nutrient sensor · water pump + relay · mobile dashboard with live LED plant-health indicators

Working model

From sensors to smart decisions.

Data flows in one continuous loop — collected in the field, processed on the controller, analyzed in the cloud, and turned into action.

01 · Collect

Data collection

IoT sensors gather soil moisture, temperature, humidity, and NPK levels across the field.

02 · Process

Processing

The ESP32 microcontroller processes sensor data and prepares it for transmission.

03 · Analyze

Cloud + AI

Data is uploaded to the cloud, where the AI engine generates insights, predictions, and recommendations.

04 · Act

Smart action

Clear instructions reach the farmer — and approved actions like irrigation run automatically via the relay.

AI integration

The brain behind every instruction.

AgriSense AI analyzes real-time data from soil and environmental sensors to understand crop conditions. It compares live values against ideal farming parameters and turns the difference into smart, specific recommendations — for irrigation, fertilizers, and plant care. And because every farmer should be able to talk to their field, a multilingual AI chatbot answers questions in the farmer's own language.

Continuous health analysis

Soil and crop conditions monitored around the clock, with stress detected before it's visible.

Irrigation & fertilizer guidance

Exact, field-specific recommendations — how much, where, and when — not generic advice.

Growth & maturity predictions

The AI forecasts crop development, helping plan harvests and spot problems early.

Multilingual farmer chatbot

Ask anything, in your language — the assistant explains every cue and answers farming queries.

Live demo

One morning with AgriSense.

A simulation of a 16-zone plot. Run the scan and watch raw sensor readings become instructions — and one automated action.

Zones are named A1–D4, like a map grid.

Morning briefing

Press scan to pull today's sensor sweep, weather, and AI analysis.

— awaiting scan —
Prototype design

Not a slide. A working model.

Our prototype is a miniature farm built around an ESP32 with live sensors in real soil. It collects moisture, temperature, and nutrient data, sends it to the app for AI analysis, and automates irrigation through a visible pump-and-relay system — with LED indicators showing real-time plant health and a mobile dashboard displayed alongside.

Prototype — bill of materials
controller · ESP32 / Arduino
sensing · capacitive soil moisture · DHT temp & humidity · NPK nutrient probe
action · water pump + relay (auto irrigation)
feedback · LED plant-health indicators
interface · mobile dashboard · live graphs · one-tap pump control
connectivity · Wi-Fi → cloud → AI engine
Expected outcomes

Less guesswork. More harvest.

Higher crop yield

Optimized resource use means healthier crops and better, more consistent results.

Less water wasted

Irrigation runs only when the soil actually needs it — cutting wastage and costs.

Data-driven decisions

Every instruction comes with its reason, sharpening the farmer's own judgment.

Sustainable farming

Smarter inputs and early detection move agriculture toward long-term food security.

Future scope

Where AgriSense grows next.

The prototype is one field. The architecture scales much further: aerial drone monitoring for full-farm crop and soil analysis, satellite data for enhanced weather forecasting and climate alerts, and ultimately autonomous farms with robotic actuators and AI-driven operations.

The team

Built by

Pranav Saxena Inaya Sharma Vidhi Ekansh Garg Pranavi Joshi

Let's grow the future of agriculture together.

AgriSense empowers farmers with smart, sustainable solutions. Reach out to see the prototype in action.

Contact the team