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CROP PREDICTION USING MACHINE LEARNING project in Python with Source Code [download].

Python project   Last updated on - August 18, 2020
crop-prediction machine-learning python
Alfa Hack
Alfa Hack
python Cyber Security Ethical Hacking IOT C 
2 Reviews
4
17136 View
1259 Downloads
 17136
 0
 1259

In this page CROP PREDICTION USING MACHINE LEARNING project is a desktop application which is developed in Python platform. This Python project with tutorial and guide for developing a code. CROP PREDICTION USING MACHINE LEARNING is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a JUPYTER NOTEBOOK IDE. Following Python project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Alfa Hack. This desktop application 100% working smooth without any bug. It is developed using Python Machine Learning and Database Local storage. This software code helpful in academic projects and research paper for final year computer science. To download CROP PREDICTION USING MACHINE LEARNING project in Python with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

Why a download CROP PREDICTION USING MACHINE LEARNING project from kashipara?

Becuase of kashipara is provide a best CROP PREDICTION USING MACHINE LEARNING project solution for beginners, intermdetate and skilled developers. This document file with project Synopsis, Reports, and various diagrams properly manage. Also Abstract in PDF, PPT file inside zip so that document link below the page. UML diagrams for CROP PREDICTION USING MACHINE LEARNING. Class diagrams, Use Case diagrams, Entity–relationship(ER) diagrams, Data flow diagram(DFD), Sequence diagram and software requirements specification (SRS) in report file. Download code of CROP PREDICTION USING MACHINE LEARNING project in Python. You can find Top Downloaded Python projects here.

About project

project Name

CROP PREDICTION USING MACHINE LEARNING

Project Complexityadvanced
Duration15 Days
project ID3966
Developer NameAlfa Hack
Publish DateAugust 18, 2020
project PlatformPython
Programming LanguageFor this particular Python project, Python Machine Learning is required
Front EndGUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
Back EndPython, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
IDE ToolJUPYTER NOTEBOOK
Database IntegrationLocal storage
project Typedesktop Application
No of project Download1259
project Total View17136
Today Trends2
Current Month Trends89
Last Month Trends202

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Premium/Paid project

Download CROP PREDICTION USING MACHINE LEARNING source code

Download CROP PREDICTION USING MACHINE LEARNING source code at free of cost. Download link provide below.

Download Code
File size 0.0737 MB

Project Share and Earning Policy

Download CROP PREDICTION USING MACHINE LEARNING document

Download CROP PREDICTION USING MACHINE LEARNING Document PDF link below

Download PDF
File size 2.1282 MB

Click Here For Project Document PDF Format.

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Features of the CROP PREDICTION USING MACHINE LEARNING project

We will implement the following feature in the Python CROP PREDICTION USING MACHINE LEARNING Project:
We can find out the crop prediction using the machine learning using this kind of models and most helpful for farmers.

User modules and function of CROP PREDICTION USING MACHINE LEARNING

We will implement the following functionalities in the Python CROP PREDICTION USING MACHINE LEARNING Project:

Software requirement to run this project

Install latest Python for Windows / Mac / Linux. IDE for python : PyCharm, Visual Studio Code, Sublime Text, Spyder, Thonny, Atom, IDLE, Emacs, Jupyter, PyDev, Vim, Visual Studio, Eclipse, PyDev, Eric, Code editing, PyScripter DBMS : MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server As per Project requriments.

Hardware requirement to run this project

1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for high preforms.

How to install the project?

After you finish downloading the project, unzip the project file.

We need to import code into jupter notebook

How to import database?

database is already in the .csv format.

Key benifits of CROP PREDICTION USING MACHINE LEARNING

Here list of key benifits to download a CROP PREDICTION USING MACHINE LEARNING from kashipara.com.

  • Easy to run a source code.
  • Easy to configuration a source code file.
  • Our expertes help development a projects.
  • We give full step for config CROP PREDICTION USING MACHINE LEARNING project.
  • We give full step for config database.
  • We provide a screenshot of this projects.
  • We also provide project diagrams.
  • You can easily download a CROP PREDICTION USING MACHINE LEARNING project documents PDF.

How to create diagram?

Here proper guide to making a various diagrams like Class diagrams, Use Case diagrams, Entity–relationship(ER) diagrams, Data flow diagram(DFD), Sequence diagram.

CROP PREDICTION USING MACHINE LEARNING project output screen

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