Irrigo
AI-Powered Smart
Irrigation System for
Sustainable Water
Management
Made by: Rishi Pal
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INTRODUCTION
1 Water Scarcity 2 Water Waste
Given the impact of climate Agriculture uses about 70
change and growing water % of global freshwater,
scarcity, efficient water much of which is wasted
management in agriculture through inefficient
is crucial. irrigation.
3 AI Solution 4 Benefits
Our AI-powered smart This not only conserves
irrigation system tackles water but also improves
this issue by optimizing crop health and yield,
water use, delivering making it a vital tool for
precise watering schedules sustainable agriculture.
that reduce waste.
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PROBLEM STATEMENT
Inefficient Irrigation Lack of Data Tailored Solutions
Traditional irrigation methods are Farmers and gardeners often lack Moreover, weather variations, soil
often inefficient, leading to over- real-time data to make informed conditions, and plant types require
watering or under-watering, which decisions about irrigation. tailored irrigation solutions that
results in water wastage, poor crop traditional systems cannot provide.
yields, and depleted water resources.
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Groundwater Scarcity in Punjab
Problem Details
Groundwater Depletion Punjab is facing a serious groundwater
problem because too much water is
being used, mainly for growing paddy
which needs a lot of water.
Canal Water Diversion Half of the canal water in the state is
diverted to Rajasthan, worsening the
situation.
Limited Groundwater Experts say Punjab has only 17 years of
groundwater left.
Consequences The water shortage is also making
problems like farmer debt and suicides
worse.
Solutions To solve this, sustainable practices and
urgent policy changes are needed.
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OBJECTIVE
To reduce water wastage and improve crop productivity by leveraging
AI and real-time data.
The system will use sensors, IoT devices, and AI algorithms to optimize
water distribution, ensuring efficient irrigation based on specific crop
needs, weather forecasts, and soil moisture levels.
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Soil Moisture and
Temperature Sensors
Function How It Works
These sensors are placed in The sensors continuously
different areas of the field to send data to the central
monitor the soil’s moisture control unit, helping the AI
level and temperature in real- determine the current water
time. needs of the plants.
Benefit
Prevents over-watering or under-watering by providing precise
information about the soil's condition.
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Weather Forecast
Integration
Function
The system integrates local weather data (temperature,
rainfall, humidity) to anticipate weather conditions and adjust
irrigation schedules accordingly.
How It Works
If rain is forecasted, the AI reduces or delays irrigation to
conserve water.
Benefit
Helps prevent unnecessary watering during rain and ensures
plants are adequately watered during dry periods.
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AI-Driven Irrigation Control
1 Function
The AI system processes data from the sensors and weather information to calculate the exact amount of water each section of the field
needs.
2 How It Works
Using machine learning algorithms, the AI learns patterns over time, predicting future water requirements and adjusting irrigation for optimal
crop health and water savings.
3 Benefit
Ensures efficient water distribution, maximizing crop yield while minimizing water waste.
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IoT-Connected Sprinklers
Function How It Works Benefit
The sprinklers are connected to IoT The sprinklers only turn on when Ensures precision watering, reducing
devices that receive commands from needed, based on the AI’s real-time manual intervention and human error.
the AI system to regulate water flow. analysis of soil conditions, weather,
and crop needs. Water flow is adjusted
automatically.
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Mobile App for Remote Monitoring
Function How It Works Benefit
A user-friendly mobile app allows The app displays real-time data from Provides full control and transparency
farmers or landowners to monitor the the sensors and system performance. to users, enabling them to make
system remotely, receive alerts, and It sends notifications about water informed decisions from anywhere.
manually adjust settings if necessary. savings, soil conditions, and any
system issues.
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Smart Irrigation System:
Optimizing Water Use for
Sustainable Agriculture
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Overall Workflow
1 Data Collection
Sensors continuously collect real-time data on soil moisture,
temperature, and weather.
2 Data Processing
The AI processes the data and compares it with historical trends to
determine the optimal watering strategy.
3 Action
The AI sends commands to the IoT- controlled sprinklers to adjust
water flow.
4 Monitoring
Users can track the system via the mobile app, receiving real-time
updates and alerts.
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HOW IoT SENSORS WORK
Smart Valves AI-Powered Software Automated Control
These are automated valves that The AI software analyzes the data The system uses the AI- generated
control the flow of water in the from the sensors to make intelligent insights to automatically adjust the
irrigation system. They can be decisions about irrigation. It can: opening and closing of valves and
programmed to open or close based the operation of sprinklers. This
1. Predict Water Needs
on signals from the IoT network, ensures that each area receives the
enabling precise control over water 2. Optimize Scheduling right amount of water.
distribution. 3. Adaptive Learning
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AI-Powered Software
1 Predict Water Needs 2 Optimize Scheduling 3 Adaptive Learning
Based on historical data and The software adjusts the AI algorithms learn from past
current conditions, the AI can irrigation schedule to maximize performance and continuously
predict how much water is efficiency and minimize water refine their recommendations to
needed and when. waste. improve accuracy over time.
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Automated Control
Remote Management
Users can monitor and control the entire irrigation system
remotely through a smartphone app or web interface.
Notifications and Insights
They can also receive notifications and insights about the
system’s performance.
Precise, Efficient, and Flexible Water
Management
By combining IoT and AI, these advanced irrigation systems
provide precise, efficient, and flexible water management,
improving plant health while conserving resources.
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Weather Forecast
Soil moisture and AI Driven Water
temperature Sensors optimisation
Soil moisture and temperature AI Driven Water optimisation
Sensors
IoT Sprinklers Remote control
IoT Sprinklers Remote control
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IMPACT
Increased Water Energy Cost Savings
Crop Yields Conservation Efficiency
By ensuring The system The system Farmers save
plants can reduce can be on water and
receive the water powered by energy costs
optimal consumption renewable while
amount of by up to energy improving
water, crop 50%, sources, productivity.
health and promoting further
yield are sustainable reducing its
improved. water environment
managemen al footprint
t.
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FEASIBILITY STUDY
Technological Integration and Climate Variability and Data Privacy and Security
Infrastructure Environmental Conditions As the system relies on large amounts of
Integrating sensors, IoT devices, and AI Unpredictable weather patterns, droughts, data, including weather data, soil
algorithms with existing irrigation systems floods, and other extreme climatic events conditions, and potentially sensitive farm-
may be complex, particularly in regions can impact the effectiveness of smart level information, data privacy and
with limited technological infrastructure. irrigation systems. For instance, prolonged cybersecurity are important concerns.
Additionally, the availability of reliable dry periods may reduce the availability of Farmers may be hesitant to adopt the
internet or data connectivity may limit the water resources, limiting the system's system if they feel their data is not secure
use of real- time weather data and remote ability to function optimally. or could be misused.
monitoring systems.
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Solutions
Climate Variability and Data Privacy and Security Technological Integration and
Environmental Conditions Infrastructure
Data Encryption: Implement strong
Adaptive AI Algorithms: The system's AI encryption for all data transmitted Offline Functionality: Develop versions of
can be designed to adapt to changing between sensors, IoT devices, and the the system that can operate offline and
environmental conditions. cloud. sensors can store data locally.
Water Harvesting and Storage User Ownership of Data: Ensure that Low-Power IoT Devices: Use low-power
Integration farmers retain full ownership and control IoT devices and communication
over their data, with transparent policies protocols (e.g., LoRaWAN, Zigbee) to
Regional Customization: Customize the
about how data is used and shared. reduce the need for constant internet
AI algorithms for different climatic
connectivity and extend the system's
regions, ensuring that the system Cybersecurity Measures: Invest in robust
range in remote areas.
performs optimally based on local cybersecurity protocols to prevent data
weather conditions and water availability. breaches, including regular security Partnerships with Local Telecom
audits and firewall protections. Providers: Collaborate with telecom
companies to ensure affordable data
plans
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COST OPTIMIZATION
Component Estimated Cost Strategy to reduce cost Final Cost
Soil Moisture and ₹15,000 to ₹50,000 Opt for basic, reliable ₹3,000 to ₹6,000 each
Temperature Sensors soil moisture and Total cost: ₹9,000 to
temperature sensors ₹30,000
Weather Forecast Cost for integration Use open-source ₹5,000 to ₹15,000
Integration software and data solutions or low-cost
services: ₹10,000 to services
₹30,00
AI-Driven Irrigation Cost-effective or open- Choose cost-effective ₹25,000 to ₹50,000
Control System source AI solutions: or open-source AI
₹25,000 to ₹50,000 solutions
IoT-Connected Total cost: ₹25,000 to Choose Cost-Effective Total cost: ₹15,000 to
Sprinklers ₹1,50,000 Sprinklers: Opt for ₹70,000
standard, durable
sprinklers rather than
high-end models.
Mobile App for Remote Total Cost: ₹20,000 to Use a basic or open- ₹10,000 to ₹20,000
Monitoring and Control ₹50,000 source app
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Conclusion
Sustainable Agriculture Economic Benefits
The smart irrigation system optimizes water use, The system helps farmers save money on water bills
minimizes waste, and enhances crop yields. and increase their overall profitability.
Environmental Impact Community Development
By reducing water consumption and improving resource This technology empowers farmers and communities
efficiency, the system contributes to a greener future. with tools to build a more sustainable agricultural
system.
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Thank You
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