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@ainascan

ainascan

README.md

Ainascan

Aloha and Welcome!

This project is a bold initiative to build a platform that serves coffee farmers all over the world. One of the most refreshing beverages in the world, coffee, is grow with immense amounts of hard work from small farmers all over the world. For programmers like myself, we couldn't survive without.

Ainascan is a tool suite and platform purpose built for researchers and farmers to understand yields, pests, deficiencies, and diseases of their crops. With our data collection tools, and suite of layered machine learning and deep learning models, anaylitics are presented to our users in a consumable fashion.

Some of the desired features of this tool:

  • Collect and upload data effortlessly from a standard smart phone (IOS and Android support powered by React Native)
  • Segment out various plots of land with an interactive web tool to segregate different fields, species, or rows.
  • Record spraying, harvesting, pruning, and other manual maintenance activities
  • Run complex AI powered anaylitics and gain insight into the dieases, pests, and deficencies present
  • Data is presented at a high level for easy consumability to farmers, but deep insights for researchers are just a few clicks away
  • Get recommended schedules for spraying, harvesting, and fertilizing.
  • Crop independent! Although coffee is the primary objective, other models can be integrated for other types of crops.
  • Completely open-sourced. We want to share this technology for the world for all to benefit.

For the interested developer and engineer:

  • Completely cloud indepedent. All Kubernetes. Cloud-Native applications first.
  • Made to run on bare metal for maximum cost savings to the end user.

Pinned Loading

  1. phy_cut_paste phy_cut_paste Public

    2D Physics Based Cut-And-Paste Data Augmentation for Multiple Annotations Per Image

    Python 1

  2. ainascan.github.io ainascan.github.io Public

    Ainascan Website

    HTML

  3. maskrcnn_mobilenetv3_fpn maskrcnn_mobilenetv3_fpn Public

    Pytorch MaskRCNN with MobileNetV3 FPN

    Jupyter Notebook

Repositories

Showing 8 of 8 repositories
  • kumu-leaves Public

    Training and Inferencing for Semantic Segmentation of Defective Coffee Leaves

    ainascan/kumu-leaves’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Dec 11, 2024
  • ainascan.github.io Public

    Ainascan Website

    ainascan/ainascan.github.io’s past year of commit activity
    HTML 0 0 0 0 Updated Oct 22, 2024
  • .github Public
    ainascan/.github’s past year of commit activity
    0 0 0 0 Updated Oct 21, 2024
  • maskrcnn_mobilenetv3_fpn Public

    Pytorch MaskRCNN with MobileNetV3 FPN

    ainascan/maskrcnn_mobilenetv3_fpn’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Sep 17, 2024
  • ensemble_seg Public

    Agnostic Ensemble Technique for Instance Segmentation Models

    ainascan/ensemble_seg’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Aug 28, 2024
  • phy_cut_paste Public

    2D Physics Based Cut-And-Paste Data Augmentation for Multiple Annotations Per Image

    ainascan/phy_cut_paste’s past year of commit activity
    Python 1 MIT 0 0 0 Updated Aug 26, 2024
  • generic-api Public

    Self Defining JSON Schema Based REST API

    ainascan/generic-api’s past year of commit activity
    Python 0 0 0 0 Updated Aug 26, 2024
  • coco_anchors Public

    Generate Recommendations for Anchor Boxes and Ratios For Object Detection Tasks on Coco Datasets

    ainascan/coco_anchors’s past year of commit activity
    0 0 0 0 Updated Aug 1, 2024

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