Resources & Links

This page is under development:

5 Ways Drones Will Change Agriculture

Attacking Machine Learning with Adversarial Examples

How to Automate Surveillance with Deep Learning

Beiler, Kevin J. Daniel M. Durall, Suzanne W. Simard, Sheri A. Maxwell and Annette M. Kretzer. “Architecture of the wood-wide web: Rhizopogon spp.genets link multiple Douglas-fir cohorts” in New Phytologist, September 2009.

Bratton, Ben.

Bridle, James. New Dark Age: Technology and the End of the Future.Verso, 2018.

Chun, Wendy.

Crawford, Kate.

Deep Plant Phenomics Documentation

Deep Plant Phenomics – Example Usage

A Designer Seed Company is Building a Farming Panopticon @ Wired

Dudley, Susan A., and Amanda L. File. “Yes, kin recognition in plants!”in Biology Letters, December 2007.

Edwards, Paul. The Closed World: Computers and the Politics of Discourse in Cold War America (Inside Technology Series). MIT Press, 1997. 

Finland’s Grand AI Experiment@ politico EU

Gagliano, Monica. “In a green frame of mind: perspectives on the behavioural ecology and cognitive nature of plants.” in AoB Plants. November 2014.

Gagliano, Monica, Vladyslav V. Vyazovskiy, Alexander A. Borbély, Mavra Grimonprez, andMartial Depczynski. “Learning by Association in Plants.” in Scientific Reports, December 2016.

Gagliano, Monica, John C. Ryan, and Patrícia Vieira, Editors. The Language of PlantsUniversity of Minnesota Press, 2017.

Gagliano, Monica. “The mind of plants: Thinking the unthinkable.” COMMUNICATIVE & INTEGRATIVE BIOLOGY. January 2017.

Gagliano Monica, Mavra Grimonprez, Martial Depczynski, Michael Renton. “Tuned in: plant roots use sound to locate water” in Oecologia, April 2017.

gynePUNK: radical urodynamics (Spain)

In Browser Visualization with TensorFlow (GitHub)

International Plant Phenotyping NetworkIPPN Datasets

Invisible Images (Your Pictures are Looking at You), by Trevor Paglen

An introduction to Machine Learning @ Digital Ocean

Machine Learning, Meaning, and Law @ Cybernetics Conference 2017

Mackenzie, Adrian. Machine Learners: Archaeology of a Data PracticeMIT Press, 2017. 

Network Science (Creative Commons textbook, virtual) – Albert-László Barabási

Mycorrhizal Networks: Common Goods of Plants Shared under Unequal Terms of Trade @ Plant Physiology

Murphy, Guillermo P. and Susan A. Dudley. “Kin Recognition: Competition and Cooperation in Impatiens (Balsaminaceae)” in American Journal of Botany 96(11): 1990–1996. 2009.

Open Source Computer Vision Library

One of the Fathers of AI is Worried About its Future @ MIT Technology Review

Practical Black-Box Attacks against Machine Learning, by Nicolas Papernot et al.

Plant CV Documentation (Plant Phenotyping Using Computer Vision)

Plants communicate distress using their own kind of nervous system (Video), related full article (Science Magazine)

The Prairie Roots Project (US)

Recipe Book: Patterns for Handweavers

Rise of the Machines : Has Technology Evolved Beyond Our Control? @ The Guardian

Simard, Suzanne, Amanda Asay, Kevin Beiler, Marcus Bingham, Julie Deslippe, Xinhua He, Leanne Philip, Yuanyuan Song, François Teste. Resource transfer between plants through ectomycorrhizal fungal networks.

AI History : from The Unmanned, La Mémoire de Masse (video)

The Use of Drones for Sorghum Scientific Research (Australia)

van der Heijden, Marcel G. A., Francis M. Martin, Marc-Andre Selosse and Ian R. Sanders. “Mycorrhizal ecology and evolution: the past, the present, and the future.” in New Phytologist, (2015) 205: 1406–1423.

What is Machine Learning? We Drew You Another Flowchart @ MIT Technology Review

Why Robot Brains Need Symbols @ Nautilus

Working the Roots: African American Healing

A visual introduction to Machine Learning @ R2D3