Abstract. Agriculture is under pressure to provide food for a growing population and the feedstock required to drive the bioeconomy. Methods to breed and g
Controlled Mold
A blog about fermentation, engineering, and cell-ag. We run wild experiments on microbes and try to eat them, all with the help of computers and math.
Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform
Multi-scale models can facilitate whole plant simulations by linking gene networks, protein synthesis, metabolic pathways, physiology, and growth. Whole plant models can be further integrated with ecosystem, weather, and climate models to predict how various interactions respond to environmental perturbations. These models have the potential to fill in missing mechanistic details and generate new hypotheses to prioritize directed engineering efforts. Outcomes will potentially accelerate improvement of crop yield, sustainability, and increase future food security. It is time for a paradigm shift in plant modeling, from largely isolated efforts to a connected community that takes advantage of advances in high performance computing and mechanistic understanding of plant processes. Tools for guiding future crop breeding and engineering, understanding the implications of discoveries at the molecular level for whole plant behavior, and improved prediction of plant and ecosystem responses to the environment are urgently needed. The purpose of this perspective is to introduce Crops in silico (cropsinsilico.org), an integrative and multi-scale modeling platform, as one solution that combines isolated modeling efforts toward the generation of virtual crops, which is open and accessible to the entire plant biology community. The major challenges involved both in the development and deployment of a shared, multi-scale modeling platform, which are summarized in this prospectus, were recently identified during the first Crops in silico Symposium and Workshop.
Some recent developments in controlled-environment agriculture: on plant physiology, sustainability, and autonomous control
In this review, we highlight some recent developments in controlled-environment agriculture (CEA), discuss its sustainability and provide a future outlook, mainly based on recently published work f...
For the First Time, a Cell Built From Scratch Grows and Divides | Quanta Magazine
Scientists built a synthetic cell that combines more lifelike properties than ever before — proof of concept that it’s possible to bring nonliving materials to life, or something close to it, in the lab.
For the First Time, a Cell Built From Scratch Grows and Divides | Quanta Magazine
Scientists built a synthetic cell that combines more lifelike properties than ever before — proof of concept that it’s possible to bring nonliving materials to life, or something close to it, in the lab.
INVESTING IN REGENERATIVE AGRICULTURE AND FOOD
THE INVESTING IN REGENERATIVE AGRICULTURE AND FOOD PODCASTThrough 400+ interviews with farmers, investors, scientists, and entrepreneurs, the podcast puts the spotlight on the pioneers in the regenerative food and agriculture space to learn more on how to put our money to work to regenerate soil, people, local communities and ecosystems while making an appropriate and fair return.
Synthetic philosophy
In this essay, I discuss Dennett’s From Bacteria to Bach and Back: The Evolution of Minds (hereafter From Bacteria) and Godfrey Smith’s Other Minds: The Octopus and The Evolution of Intelligent Life (hereafter Other Minds) from a methodological perspective. I show that these both instantiate what I call ‘synthetic philosophy.’ They are both Darwinian philosophers of science who draw on each other’s work (with considerable mutual admiration). In what follows I first elaborate on synthetic philosophy in light of From Bacteria and Other Minds; I also explain my reasons for introducing the term; and I close by looking at the function of Darwinism in contemporary synthetic philosophy.
Plant-based meat has been relentlessly — and unfairly — attacked as “ultra-processed.” Can the industry save itself?
Beyond Meat and Impossible Foods are placing big, divergent bets on the future of meat. Who will win?
Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture
The rise of artificial intelligence (AI) and in particular modern machine learning (ML) algorithms during the last decade has been met with great interest in the agricultural industry. While undisputedly powerful, their main drawback remains the need for sufficient and diverse training data. The collection of real datasets and their annotation are the main cost drivers of ML developments, and while promising results on synthetically generated training data have been shown, their generation is not without difficulties on their own. In this paper, we present a development model for the iterative, cost-efficient generation of synthetic training data. Its application is demonstrated by developing a low-cost early disease detector for tomato plants (Solanum lycopersicum) using synthetic training data. A neural classifier is trained by exclusively using synthetic images, whose generation process is iteratively refined to obtain optimal performance. In contrast to other approaches that rely on a human assessment of similarity between real and synthetic data, we instead introduce a structured, quantitative approach. Our evaluation shows superior generalization results when compared to using non-task-specific real training data and a higher cost efficiency of development compared to traditional synthetic training data.
b.next: rebuilding biology for engineering
How to Make Lactic Acid Bacteria with KNF (Korean Natural Farming)
Learn how to cultivate lactic acid bacteria to create an amazing probiotic for your garden and farm.
Reinventing the wheel: milk, microbes, and the fight for real cheese
"Reinventing the Wheel is equal parts popular science, history, and muckraking. Over the past hundred and fifty years, dairy farming and cheesemaking have been transformed, and this book explores what has been lost along the way. Today, using cutting-edge technologies like high-throughput DNA sequencing, scientists are beginning to understand the techniques of our great-grandparents. The authors describe how geneticists are helping conservationists rescue rare dairy cow breeds on the brink of extinction, microbiologists are teaching cheesemakers to nurture the naturally occurring microbes in their raw milk rather than destroying them, and communities of cheesemakers are producing "real" cheeses that reunite farming and flavor, rewarding diversity and sustainability at every level."--Provided by publisher.
AI creates first synthetic viruses
Genomic language model has huge potential to redesign organisms such as bacteria
Digital Gardening for Non-Technical Folks
How to build a digital garden without touching code
https://www.thegardensaltspring.com/The Garden Salt Spring Island | cold-hardy citrus & avocado production in Canada | growing healthy soils & nutrient dense food | anaerobic digestion & Johnson-Su
The Garden is an innovative farm in Canada's Pacific Southwest. It focuses on developing resource-efficient systems for greenhouse and orchard production. It applies regenerative practices for on-farm nutrient cycling. The farm operates a small-scale anaerobic digester, has extensive rainwater catchment, and assesses progress with on-farm analysis of soil and plants using Soil Food Web microscopy, brix, and off-farm leaf sap analysis. Visit our blog, YouTube channel and workshop opportunities.