Agriculture Industry

AI-Powered Precision Agriculture

Large Agricultural Cooperative

Location
Punjab, India
Duration
10 months
Team Size
13 specialists
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The Challenge

Unpredictable weather, pest infestations, and inefficient resource usage were affecting crop yields and farmer livelihoods. Traditional farming methods couldn't provide the precision needed for modern agriculture.

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Our Solution

We developed an AI and satellite imaging-based crop monitoring system that provides farmers with actionable insights. The platform uses computer vision to detect crop health issues, predict optimal harvest times, and recommend precise irrigation and fertilizer applications.

Implementation Steps

1

Integrated satellite imagery and drone surveillance

2

Deployed computer vision models for crop health analysis

3

Created mobile app for farmers with local language support

4

Implemented soil moisture sensors and weather station network

5

Built predictive models for yield forecasting

6

Established SMS-based alert system for remote areas

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Measurable Impact

38% Increase
Crop Yield
Higher agricultural productivity
45% Optimization
Water Usage
More efficient irrigation
72% Accuracy
Pest Detection
Early identification of threats
29% Reduction
Input Costs
Lower fertilizer and pesticide expenses

Technologies Used

Computer VisionSatellite ImagingMachine LearningIoT SensorsMobile AppsPython
"

This precision agriculture platform has transformed farming for our members. They're getting better yields with fewer resources.

Managing Director
Large Agricultural Cooperative

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