IOT based Agriculture Robot Using Neural Networks

Project Code :TEMBMA3181

Objective

The main objective of this project is to reduce the burden of farmers by using an Agricultural Robot

Abstract

Agriculture is the backbone of rural India. Farmers face problems such as lack of timely availability of efficient workforce, as many have migrated from country side. Hence, to reduce the burden of farmers, automation in the field of farming is necessary. To provide smart agriculture system that leads to automation of farming processes which saving the time and energy required for performing repetitive farming tasks and increasing the productivity of yield and to reduce the burden of farmers

 

Keywords:  Agriculture Robot, Neural Networks, IOT, Blynk App, Raspberry Pi.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements:
  • Raspberry Pi
  • Micro SD card
  • HDMI cable
  • 5v adapter
  • DHT11
  • Soil moisture sensor
  • Seeder
  • L293D motor driver module
  • Motors
  • Dc pump
Software Requirements:
  • Blynk app
  • Matlab
  • PHP server
  • VNC viewer
  • NOOBS OS
  • Python3 IDLE
  • Advanced IP Scanner
  • Fritzing

Learning Outcomes


  • Raspberry pi pin diagram and architecture
  • How to install NOOBS  software
  • Setting up and installation procedure for Raspberry Pi
  • How to connect Raspberry Pi through VNC viewer
  • Introduction to Python3 IDLE
  • Commands in Python
  • Basic coding in Python
  • Working of DHT11 Sensor
  • How to interface DHT11 Sensor with Raspberry Pi?
  • Working of soil moisture Sensor
  • How to interface soil moisture Sensor with Raspberry Pi?
  • Working of L293D Motor driver module
  • How to interface L293D Motor driver module and dc motor with Raspberry Pi?
  • Interfacing camera with raspberry pi
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering( software’s, Tools, Hardware components, etc.,)
    • Schematic preparation 
    • Code development and debugging
    • Hardware development and debugging
    • Development of the Project and  Output testing
  • Practical exposure to:
    • Hardware and software tools.
    • Solution providing for real time problems.
    • Working with team/ individual.
    • Work on Creative ideas.
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

Demo Video

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