SlideShare a Scribd company logo
Group members:
1) Swarupa Chinchalikar.
2) Nandini Honmute.
3) Yashashri Kavathekar.
Project Guide: Mrs. P. R.
Chougule.
SHARAD INSTITUTE OF TECHNOLOGY POLYTECHNIC,
YADRAV [ICHAKARANJI] (0968)]
2020-21
PROGRAM OF COMPUTER ENGINEERING
Contents
Introduction
 Farming assistant web service is a web project to help the farmers.
 This innovative site allows a good communication.
 Dealers can publish an advertisement / banner.
 Farmers, Suppliers and Admin can add different products.
Choice of the topic
 Through this project farmers ensure greater profitability.
 Easy and fast
 Advertisement Page
 Product differentiation
Literature Overview
We have reviewed following research paper:
 Agriculture decision support system using data mining [2017]
 E-farming
 E-Agriculture Information Management System [2014]
 Supply chain security: An overview and research agenda [2008]
 Europol report [2016]
Proposed SYSTEM
Aim:
Proposed System:
 Digitalize agriculture.
 Communication through mobile phones.
 Eliminate intermediates.
 The objective is to create a Web-site that can perform the following:
 Connecting to an HTTPS site (Farming Assistant Web Service) through GPRS/ Wi-Fi.
 Opening the relevant html pages using HTTPS POST & GET methods.
 Read the data logically into Farmer, Supplier and Admin.
 Creating a local database.
Methodology
Proposed system Model
• Farmer
 Home
 Products
Category
 All Products
 Add Products
 Add Slider/Banner
 Log Out
• Admin
 Home
 Products Category
 All Products
 Add Products
 Add Slider/Banner
 Add Category
 Add Sub Category
 Log Out
PROPOSED APPROACH
Screenshots
System Requirement
 Hardware Requirements:
 4 GB RAM
 I3 Processor
 500 GB Hard disk
 Software Requirements:
 Languages:
 HTML
 CSS
 Java script
 .net
 Database:
 SQL Server Management Studio
 Editor:
 Microsoft Visual Studio 2010
applications
 Digital Farming
 Can be used in second and third world countries.
 Agricultural Industry
Advantages and limitations
 Advantages
 Transparency in the system.
 Saves time, cost and also energy.
 Limitations
 It requires a large database.
 It requires internet connection.
Conclusion
T
future Scope
 Verification of users.
 Improvement of design
 Mobile application
References
 2017 International Conference on I2C2, “Agricilture decision support system using data mining”,
Prof. Rakesh Shirsath: Neha Khadke: Divya More.
 IEEE Papers E-Farming Sindhu M R, Aditya Pabshettiwar, Ketan.K.Ghumatkar,
Pravin.H.Budhehalkar, Paresh.V.Jaju G. H. Raisoni College of Engineering and Management,
Pune, India ISSN:0975-9646 Pages-3479
 IEEE Papers E-Agriculture Information Management System Sumitha Thankachan1,
Dr.S.Kirubakaran21PG Scholar,Info Institute of Engineering, India2Assistant Professor, Info
Institute of Engineering, India ISSN 2320-088x Pages-600
 zWilliams, J. E. Lueg, and S. A. LeMay, “Supply chain security: An overview and research
agenda,” Int. J. Log. Manage., vol. 19, no. 2, pp. 254–281, 2008.
 Europol report, 2016. [Online]. Available: https://www.interpol.int/News- and
media/News/2016/N2016-139. Accessed on: Nov. 30, 2016.
 http://projetcideas.co.in/farming -assistant-web-service-project-ideas/
 https://www.slideshare.net/SurbhiSharma250/farming-assistant-web-service-101343072
 https://nevonprojects.com/farming-assistant-web-service-php/
THANK YOU
ANY QUESTION

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Farming assistant web service ppt

  • 1. Group members: 1) Swarupa Chinchalikar. 2) Nandini Honmute. 3) Yashashri Kavathekar. Project Guide: Mrs. P. R. Chougule. SHARAD INSTITUTE OF TECHNOLOGY POLYTECHNIC, YADRAV [ICHAKARANJI] (0968)] 2020-21 PROGRAM OF COMPUTER ENGINEERING
  • 3. Introduction  Farming assistant web service is a web project to help the farmers.  This innovative site allows a good communication.  Dealers can publish an advertisement / banner.  Farmers, Suppliers and Admin can add different products.
  • 4. Choice of the topic  Through this project farmers ensure greater profitability.  Easy and fast  Advertisement Page  Product differentiation
  • 5. Literature Overview We have reviewed following research paper:  Agriculture decision support system using data mining [2017]  E-farming  E-Agriculture Information Management System [2014]  Supply chain security: An overview and research agenda [2008]  Europol report [2016]
  • 6. Proposed SYSTEM Aim: Proposed System:  Digitalize agriculture.  Communication through mobile phones.  Eliminate intermediates.
  • 7.  The objective is to create a Web-site that can perform the following:  Connecting to an HTTPS site (Farming Assistant Web Service) through GPRS/ Wi-Fi.  Opening the relevant html pages using HTTPS POST & GET methods.  Read the data logically into Farmer, Supplier and Admin.  Creating a local database. Methodology
  • 8. Proposed system Model • Farmer  Home  Products Category  All Products  Add Products  Add Slider/Banner  Log Out • Admin  Home  Products Category  All Products  Add Products  Add Slider/Banner  Add Category  Add Sub Category  Log Out
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  • 16. System Requirement  Hardware Requirements:  4 GB RAM  I3 Processor  500 GB Hard disk  Software Requirements:  Languages:  HTML  CSS  Java script  .net  Database:  SQL Server Management Studio  Editor:  Microsoft Visual Studio 2010
  • 17. applications  Digital Farming  Can be used in second and third world countries.  Agricultural Industry
  • 18. Advantages and limitations  Advantages  Transparency in the system.  Saves time, cost and also energy.  Limitations  It requires a large database.  It requires internet connection.
  • 20. future Scope  Verification of users.  Improvement of design  Mobile application
  • 21. References  2017 International Conference on I2C2, “Agricilture decision support system using data mining”, Prof. Rakesh Shirsath: Neha Khadke: Divya More.  IEEE Papers E-Farming Sindhu M R, Aditya Pabshettiwar, Ketan.K.Ghumatkar, Pravin.H.Budhehalkar, Paresh.V.Jaju G. H. Raisoni College of Engineering and Management, Pune, India ISSN:0975-9646 Pages-3479  IEEE Papers E-Agriculture Information Management System Sumitha Thankachan1, Dr.S.Kirubakaran21PG Scholar,Info Institute of Engineering, India2Assistant Professor, Info Institute of Engineering, India ISSN 2320-088x Pages-600  zWilliams, J. E. Lueg, and S. A. LeMay, “Supply chain security: An overview and research agenda,” Int. J. Log. Manage., vol. 19, no. 2, pp. 254–281, 2008.  Europol report, 2016. [Online]. Available: https://www.interpol.int/News- and media/News/2016/N2016-139. Accessed on: Nov. 30, 2016.  http://projetcideas.co.in/farming -assistant-web-service-project-ideas/  https://www.slideshare.net/SurbhiSharma250/farming-assistant-web-service-101343072  https://nevonprojects.com/farming-assistant-web-service-php/

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