This is a Python bot, which automates logging in, purchasing and planting the seeds. Open source bot and completely free.

Overview

Sunflower Land Banner

🌻 Sunflower Land Bot 🌻

⚠️ Warning

I am not responsible for any penalties incurred by those who use the bot, use it at your own risk.

This BOT is completely secure, it does not ask for your metamask password or private key.

πŸ“Œ Glossary

🎁 Donation (for support)

BUSD/USDC/BNB/MATIC: 0x4847C29561B6682154E25c334E12d156e19F613a

PIX (Brazil Payment): 08912d17-47a6-411e-b7ec-ef793203f836

πŸ“‹ About

This bot contains code from other developers, this bot was just refactored, to facilitate new implementations and maintenance.

This bot is free and open source.

?? Robot - Preview

Screenshot - Preview

πŸͺŸ Installation

Python

πŸ–₯️ Computer/Laptop High or Medium Profile
🐍 Install the Python 3.9.9

πŸ–₯️ Computer/Laptop Low Profile or Low Profile with Windows 7 Pro
🐍 Install the Python 3.8.10

πŸ”— https://www.python.org/downloads/

⚠️ It is important to check the option to add python to PATH

Commands

Install the dependencies by running the command below into the project folder:

pip install -r requirements.txt

Ready! Now just start the bot with the command, inside the project folder

python index.py

How to works?

The bot doesn't change any of the game's source code, it just takes a screenshot of the game's screen to find the buttons and simulates mouse movements.

⚠️ Some settings can be changed in the /config/config.yaml file, don't forget to restart the bot if you change the settings, some changes in the /config/config.yaml file may cause the bot to stop, such as activating the telegram when the bot is running.

The waiting time for harvesting the sunflower is 1 minute, and for the other plants it is 5 minutes.

πŸ§ͺ Tests

Desktop Medium Profile
Intel i5-3570k @ 3.4Ghz, 24GB RAM
Windows 11, Resolution@1920x1080
Python 3.9.9

Laptop Low Profile
Laptop Samsumg RV411, Pentium P6200 @ 2.13Ghz, 2GB RAM
Windows 7, Resolution@1366x768
Python 3.8.10

πŸ§‘β€πŸŒΎ Config

⚠️ Don't forget to rename /config/EXAMPLE-farn.yaml file, to /config/farm.yaml.

Use the enable option to activate which seed you want to use and the sell option to deactivate the sale of the seed, in this case it is for you not to sell the seed, if you are accumulating to buy some NFT.

{
  crops:
    [
      { position: 0, enable: true, title: "sunflower", sell: true },
      { position: 1, enable: true, title: "potato", sell: true },
      { position: 2, enable: true, title: "pumpkin", sell: true },
      { position: 3, enable: true, title: "carrot", sell: true },
      { position: 4, enable: true, title: "cabbage", sell: true },
      { position: 5, enable: true, title: "beetroot", sell: true },
      { position: 6, enable: true, title: "cauliflower", sell: true },
      { position: 7, enable: false, title: "parsnip", sell: false },
      { position: 8, enable: false, title: "radish", sell: false },
      { position: 9, enable: false, title: "wheat", sell: false },
    ],
  forest: [],
  water: [],
}

πŸ‘ Did you like it? :)

BUSD/USDC/BNB/MATIC: 0x4847C29561B6682154E25c334E12d156e19F613a

PIX (Brazil Payment): 08912d17-47a6-411e-b7ec-ef793203f836

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Comments
  • chore(deps): bump numpy from 1.21.4 to 1.22.0

    chore(deps): bump numpy from 1.21.4 to 1.22.0

    Bumps numpy from 1.21.4 to 1.22.0.

    Release notes

    Sourced from numpy's releases.

    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

    Commits

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