This document describes a smart agro system project created by four students. The system uses a wireless sensor network and sensors to monitor soil properties like moisture, temperature, humidity, and pH levels. It provides farmers recommendations on fertilizer use and irrigation. The objectives are to create an effective, low-cost, user-friendly decision support system. It will help farmers reduce waste, increase yields, and improve their lives. The system hardware uses an Arduino platform and sensors. The software includes an Android app and database. Future work includes cloud storage and adding animal monitoring sensors. The conclusion is that the system will help farmers monitor fields and activities to boost production through efficient water and input use.

1. Smart Agro System
Project By:
1. Shekhar Borulkar (B120394236)
2. Kapil Bhusari (B120394234)
3. Tejas Patil (B120394436)
4. Badrinath Danave (B120394244)
Group No: 42
Category: In-house
Internal Guide: Prof. V.A.Mishra

2. Introduction
 Agriculture and Precision agriculture
 Smart farming
 Wireless sensor network
 Remote access
 Pervasive computing

3. Problem Statement
 To provide efficient decision support system using wireless
sensor network which handle different activities of farm and
gives useful information related to farm field to farmer.

4. Objective and Motivation
 Objective
 Provide effective decision support system
 Minimum cost
 User friendly system
 Motivation
 Reduces wastage of water
 Make farmers life more better
 Increase crop yield

5. Purpose of Project
 To make smart agro system which will provide
information to farmers regarding :
 Fertilizers to be used (according to present chemical
composition of soil).
 Information related to Soil moisture ,Temperature and
Humidity content, pH scale, NPK etc.
 Amount of water to be provided(According to soil-moisture).
 To provide cost-effective, user-friendly system.

6. Scope of Project
 By providing smart wireless sensor network for an agriculture
field, monitoring various parameters such as below:
• Temperature and humidity
• Soil moisture
• pH scale and NPK
 We are providing Irrigation method for distribution of water to
agriculture field in the whole farm or as per requirement of crop.

7. Scope of Project
 Using chemical composition of soil we can recommend which
fertilizers to be used.
 System fully organized in such manner user can access it
remotely or within a field.
 For this we are going to provide Android App for end user.
 We are designing the hardware system for which will be cost
effective to farmer.

8. Requirements
 Hardware Part:
 Arduino Platform
 Various sensors for agriculture field
 Zig-bee wireless sensor network
Software Part:
 Android application
 Database

9. Literature Survey
 Agriculture began 10,000 years ago in the areas of present day
Turkey and the Middle East.
 Agriculture is facing today to two major problems:
a) soil compaction b)water scarcity.
 The Food and Agriculture Organization of the UN (FAO) predicts
that the global population will reach 8 billion people by 2025 and
9.6 billion people by 2050.In order to keep pace, food production
must increase by 70 percent by 2050.
 In recent years number of investigations has been done in
agriculture field by scientists.

10. Literature Survey
 Current existing system is wired and costly.
 Current existing system comes in big size.
 Burrell and Beckwith successfully deployed a sensor network in
Oregon vineyard.
 An in field soil moisture and temperature monitoring was
reported by Hui Liu. The system consisted wireless sensor
monitor and remote data center.

11. Agricultural Output-2015
 List of countries by agricultural output according to IMF and CIA
World Factbook,2015
Economy Countries by agricultural output in
2015(billions in USD)
1. China 1,088
2. India 413
3. European Union 333
4. United States 290
5. Brazil 110

12. Block Diagram

13. Use Case Diagram

14. Sequence Diagram

15. Future scope
 By maintaining various sensors information on cloud, user can
access or control over his farm activities.
 Extensible feature of sensors we can add as per our crop specific
need.
 We can add motion sensors for monitoring behavior of animals.

16. Conclusion
 We are implementing a decision support system for monitoring
different farm activities. Using monitoring information farmer
can access or control his farm activities. It helps to increase a
crop yield and reduces wastage of water. Our system is cost
effective and user friendly.

17. References
 A. Nivedita, T. S. Logasundari, M. Keerthana, A. Renita Mary
Florence, “Automation in Irrigation System Using a Wireless
Sensor Network and GSM module”, Vol. 13, ISSN:2349-9398,
Issue 45 ver.I, April 2015
 A. Kumar, K. kamal, M. O. Arshad, “Smart Irrigation Using
Low-Cost Moisture Sensors and Zig-Bee-based
Communication”, Global Humanitarian Technology Conference,
IEEE 2014
 Yin Shouyi, Liu Leibo, Zhou Renyan, Sun Zhongfu3, Wei
Shaojun, “Design of Wireless Multi-media Sensor Network for
Precision Agriculture”, China communications, Feb 2013.
.

18. References
 Keshtgary and A. Deljoo, “A Wireless Sensor Network Solution
for Precision Agriculture Based on ZigBee Technology ”
,Scientific Research 2012.
 https://en.wikipedia.org/wiki/Agriculture
 www.bkvibro.com/ConditionMonitoring
 https://www.arduino.cc/

19. THANK YOU !!!!