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AgroMind-Smart Farming Opti Kit

Let's Start

PANDIAN SARASWATHI YADAV

ENGINEERING COLLEGE

Arasanoor,Thirumansolai post

Sivagangai dist-630561

Presented by: �RAJARAM (CSE),�Vijayan Guru (CSE),Bhuvaneshwaran (CSE),Karankumar(CSE)

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OUR CREW

�RAJARAM (912022104040)�Vijayan Guru (912022104060)

Bhuvaneshwaran (912022104701)

Karankumar(912022104301)

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ABSTRACT

Agriculture plays a vital role in the Indian economy, but farmers often face challenges due to inefficient irrigation practices and lack of real-time field monitoring. To overcome these issues, this project proposes AgroMind, an AI and IoT based smart agriculture system that monitors soil moisture, temperature, and humidity using field-deployed sensors. The collected data is analyzed using artificial intelligence techniques to generate actionable recommendations for irrigation and crop care. The system provides a user-friendly web or mobile interface for visualizing field conditions and receiving alerts. By optimizing water usage and supporting informed decision-making, AgroMind aims to improve crop productivity, reduce resource wastage, and promote sustainable and cost-effective farming.

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    • Farmers lack in monitoring the condition of the crop.

PROBLEM

    • They irrigate excess amount of water and fertilizer without prior knowledge.

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SOLUTION

    • Our Optimization device which reports and monitors the level of water and micro nutrition present in the soil.
    • It optimize the required amount of water and fertilizer content.
    • The Irrigation & Fertilizer analyzer optimize the required amount of water and fertilizer content required for cultivation and reports the user through mobile app.
    • Planting Bean, Corn, Caster and Turmeric as Outdoor crops prevent the invasion of insects.
  • The Animal repeller ( Light and Sound ) prevents the animal attack and helps in increasing the yield.

​

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HARDWARE

ARCHITECTURE

Flow:

  1. Sensors collect field data
  2. Microcontroller reads sensor values
  3. Data sent to server/cloud
  4. AI model analyzes data
  5. Recommendation sent to farmer (SMS / App)

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HARDWARE

Components Used:

    • Soil Moisture
    • SensorTemperature
    • Humidity Sensor
    • (DHT11/DHT22)Microcontroller
    • (Arduino / ESP32)GSM / WiFi ModulePower Supply.

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SOFTWARE

  • Programming Language: Python / Embedded C
  • Platform: Arduino IDE / Cloud Platform
  • AI Model: Rule-based / ML model
  • Output: Recommendation & alerts

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DATASET

Collected Parameters:

  • Soil Moisture (%)
  • Temperature (°C)
  • Humidity (%)
  • Crop condition label (Dry / Optimal / Wet)

Dataset Usage

  • Used to:
    • Train AI model
    • Identify irrigation requirement
  • Dataset size can increase over time
  • More data → Better accuracy

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Soil Moisture

Temp

Humidity

Condition

32%

30°C

65%

Dry

55%

28°C

70%

Optimal

78%

26°C

80%

Wet

SAMPLE DATA

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DATASET

Collected Parameters:

  • Soil Moisture (%)
  • Temperature (°C)
  • Humidity (%)
  • Crop condition label (Dry / Optimal / Wet)

Dataset Usage

  • Used to:
    • Train AI model
    • Identify irrigation requirement
  • Dataset size can increase over time
  • More data → Better accuracy

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MAPPING

IEEE Paper

Our Model

IoT monitoring

IoT + AI decision system

Generic ML

Crop-specific ML

Data display

Actionable recommendation

Research only

Research + product

No offline support

Rural-friendly GSM

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ADVANTAGES

    • Reduce the expenses of the farmers.
    • Helps in Monitoring the sugarcane cultivation.
    • Ensures 'any land cultivation' for the beginners.
    • Detects the required quantity of substance for a certain period of growth.

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KEY FEATURES

    • Includes Frequency based animal repeller system.
    • Precise Optimization through Machine Learning technology.
    • Cloud based real-time Data analysis through mobile app.
    • Customizable for small and large area cultivation.

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BMC

Key Partners

Key Activities

Value Proposition

Customer Relationship

Key Resources

Cost Structure

Channels

Revenue Streams

Customer Segment

    • Materials Dealer
    • Product Retailers
    • Vehicle & land owner
    • Product Development
    • Sales
    • Transport
    • Materials cost
    • Labor and Selling cost
    • Office and Working Space
    • Taxes & Others
    • Product Sales & Service
    • 'any land cultivation'
    • Detects the condition of the soil
    • Results the required substance to crop
    • Direct Approach
    • Awareness Camps
    • Sharing User Experience
    • Digital Media Marketing
    • Detecting materials
    • IoT Components
    • Save time & money through optimization
    • Sugarcane Cultivators

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EXPECTED KIT

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Sample User Interface

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Animal Repeller ( Light & Sound) Solar

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THANK YOU…