Automation in Agriculture
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Follow on Instagram for UpdatesAutomation in Agriculture Syllabus — Unit-wise Content
The official GTU curriculum for Automation in Agriculture (subject code DI04041061) as prescribed for Nano · Semester 4 divides the course into 5 units, covering 20 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI04041061)Unit 1 Introduction to Agricultural Automation
- 05 1.1.Need and Scope of Automation in Agriculture shortage issues and increasing demand for food usuage -resilient farming 1.2.Automation in Traditional vs
- Modern Farming 1.3.Components of Agricultural Automation Systems modules ent in fields (solar-based systems) function
- output 1.4.Basics of Control Systems -loop control: timers
- simple irrigation systems -loop control: sensor-based smart irrigation Feedback control actions
- stability (basic concepts) 1.5 Challenges in Agricultural Automation 1.6.Applications onitoring system
Unit 2 Sensors and Instrumentation in Agriculture 10 20
- 2.1 Introduction to Agricultural Sensors 2.2 Soil Monitoring Sensors Soil moisture sensor (resistive
- capacitive) – working principle sensors – thermistors /RTDs Soil nutrient sensors (NPK sensors) – spectroscopy basics Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041061 Subject Name : Automation in Agriculture 2.3 Weather and Environment Sensors Temperature sensors (LM35
- DHT11/22) 2.4 Water and Irrigation Sensors 2.5 Smart Animal and Crop Sensors 2.6 Sensor Interfacing & Signal Conditioning ization 2.7 Data Acquisition Principles -time vs. periodic sensing
Unit 3 Control Systems & Microcontroller Applications 10 20
- 3.1 Basics of Microcontrollers for Agriculture • Arduino
- Raspberry Pi: features & comparison • GPIO, PWM, ADC, communication ports 3.2 Introduction to Programmable Logic Controllers (PLC) • Basic architecture • Ladder logic basics • Use of PLCs in pump control
- greenhouse systems 3.3 Actuators in Agriculture • DC motors
- servo motors
- stepper motors • Solenoid valves for irrigation • Relay modules for pump control • Sprayer pump automation 3.4 Automation of Irrigation Systems • Soil-moisture based irrigation • Timer-controlled irrigation • Drip and sprinkler automation techniques 3.5 Greenhouse Automation • Temperature and humidity control • Ventilation fan control Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041061 Subject Name : Automation in Agriculture • Fogger and misting system control • CO2 monitoring basics
Unit 4 IoT and Communication Technologies in Agriculture 10 25
- 4.1 Introduction to IoT in Agriculture • Concept of connected farms • IoT architecture 4.2 IoT Hardware for Agriculture • ESP8266/ESP32 microcontrollers • IoT nodes with sensors • Edge computing basics 4.3 Communication Technologies • Wi-Fi: greenhouses and small farms • GSM/4G/5G modules for mobile-based monitoring • LoRa and LoRaWAN: long distance
- low power • ZigBee: sensor networks • Bluetooth for short-range wireless control 4.4 Cloud Platforms for Agriculture • Thing speak
- Firebase (introductory overview) • Data uploading
- visualization graphs • Real-time monitoring dashboards 4.5 Automation Using Mobile Apps • Pump ON/OFF via mobile • Real-time soil moisture alerts • SMS-based automation controls
Unit 5 Robotics & Advanced Automation in Agriculture 10 25
- 5.1 Introduction to Agri-Robotics • Definition and importance • Global trends in farm robotics • Overview of robotic systems 5.2 Drones in Agriculture • Types of agricultural drones • Drone components (GPS, IMU, cameras
- sprayer tank) • Drone applications: • Crop spraying • Seed sowing • Crop health mapping • NDVI imaging basics 5.3 Autonomous Machinery • Self-driving tractors: sensors
- GPS Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041061 Subject Name : Automation in Agriculture • Combine harvesters • Robotic planters 5.4 Robotics for Specific Tasks • Robotic weeders • Fruit picking robots • Seedling transplanters • Milking robots in dairy farms 5.5 Machine Vision in Agriculture • Basics of image processing • Crop disease detection • Ripeness detection • Weed identification