Fertilizer-Prediction-Smart-Farming | Fertilizer Prediction using nutrient contents of soil

 by   hanras97 Python Version: Current License: MIT

kandi X-RAY | Fertilizer-Prediction-Smart-Farming Summary

kandi X-RAY | Fertilizer-Prediction-Smart-Farming Summary

Fertilizer-Prediction-Smart-Farming is a Python library. Fertilizer-Prediction-Smart-Farming has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Fertilizer-Prediction-Smart-Farming build file is not available. You can download it from GitHub.

Fertilizer Prediction using nutrient contents of soil with added automated IoT based smart farming solution. (in collaboration with @suvam14das)

            kandi-support Support

              Fertilizer-Prediction-Smart-Farming has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are no watchers for this library.
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Fertilizer-Prediction-Smart-Farming is current.

            kandi-Quality Quality

              Fertilizer-Prediction-Smart-Farming has 0 bugs and 0 code smells.

            kandi-Security Security

              Fertilizer-Prediction-Smart-Farming has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Fertilizer-Prediction-Smart-Farming code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Fertilizer-Prediction-Smart-Farming is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Fertilizer-Prediction-Smart-Farming releases are not available. You will need to build from source code and install.
              Fertilizer-Prediction-Smart-Farming has no build file. You will be need to create the build yourself to build the component from source.
              It has 168 lines of code, 4 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Fertilizer-Prediction-Smart-Farming and discovered the below as its top functions. This is intended to give you an instant insight into Fertilizer-Prediction-Smart-Farming implemented functionality, and help decide if they suit your requirements.
            • Press a button on the network
            • Train the neural network
            • Creates a neural network
            • Generate a batch of data
            Get all kandi verified functions for this library.

            Fertilizer-Prediction-Smart-Farming Key Features

            No Key Features are available at this moment for Fertilizer-Prediction-Smart-Farming.

            Fertilizer-Prediction-Smart-Farming Examples and Code Snippets

            No Code Snippets are available at this moment for Fertilizer-Prediction-Smart-Farming.

            Community Discussions

            No Community Discussions are available at this moment for Fertilizer-Prediction-Smart-Farming.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Fertilizer-Prediction-Smart-Farming

            You can download it from GitHub.
            You can use Fertilizer-Prediction-Smart-Farming like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • CLI

            gh repo clone hanras97/Fertilizer-Prediction-Smart-Farming

          • sshUrl


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