A curated list of awesome dataset, technologies, companies, and media about Indoor Farming.
All lists are in alphabetical order.
A key to Indoor Farming is using data and automation to optimize growth and reduce production costs. Here are public datasets that can serve to kickstart new initiatives.
- Danforth Center's phenotype datasets
- The iNaturalist Challenge 2017 Dataset
- Herbarium specimens from LIRMM
- Plant Trait Database
- UC Irvine Leaf Dataset - 340 images
- UC Irvine One-hundred plant species leaves data set - ~1600 images of leaf specimens, used for Kaggle Leaf Classfication challenge
- Aarhus University Plant seedlings dataset 960 plants from 12 species
- Vegetable on Imagenet
- Crop diseases from EPFL
- Crop and weed plants
- AstroPlant
- CommonGarden in JavaScript/Node.js
- Farm, growing software in Go
- FarmBot
- Mark0, growing software in Python
- OpenAg Initiative PFC, in Python on ROS
- OpenAg MVP, in Python
- ROS Agriculture - applicable to indoor farming, but aimed beyond.
- PlantCV, based on OpenCV
- 3-Demeter Capture - Neat OSS tool for building 3-D point clouds from standard-camera images.
Many companies work on indoor farming. This short list tries to stay short by focusing with either large or special companies relying heavily on technology.
- AeroFarms
- Agrilution, now part of Miele.
- Alesca Life
- Artemis (formely Agrilyst)
- Autogrow
- Bowery
- FarmOne
- Four Growers
- Freight Farms
- Infarm
- Intelligent Growth Solutions
- Iron Ox
- MotorLeaf
- Optimal
- Plant Vision
- PlantX - Latest product information in Japanese only at this point.
- Plenty
- Root AI
- Spread
- Square Roots
- LED Lighting for Urban Agriculture, edited by T Kozai, K. Fujiwara, E. S. Runkle
- Plant Factory: An Indoor Vertical Farming System for Efficient Quality Food Production, edited by T. Kozai, G. Niu, M. Takagaki.
- The Vertical Farm, by D. Despommier.
Contributions welcome! Read the contribution guidelines first.
To the extent possible under law, Fabian Dubois and Eric Platon have waived all copyright and related or neighboring rights to this work.