Alla Petriaieva's Avatar
Alla Petriaieva
published in Blogs
Mar 05, 2021
MIT scientists say computers are the future of agriculture

MIT scientists say computers are the future of agriculture

The word ‘agriculture’ connotes certain images: workers toiling under the sun, vast fields of crops, tractors, and plows. It’s a world apart from shiny Silicon Valley, but technology has always been as integral to agriculture as any other sector, where new equipment and techniques can maximize efficiency, safety, and crop yield. Now gleaming computers and dusty fields are merging – and potentially changing agriculture as we know it.

A team of researchers from MIT Media Lab’s Open Agriculture Initiative published a paper detailing a recent study where machine learning algorithms were used to optimize growing conditions for basil plants (with an eye on more expansive future use cases). The burgeoning field – called “cyber agriculture” by the scientists – combines a variety of disciplines to grow the most flavorful, disease-resistant crops possible in a given environment.

“Our goal is to design open-source technology at the intersection of data acquisition, sensing, and machine learning, and apply it to agricultural research in a way that hasn’t been done before,” says Open Agriculture director and MIT Media Lab principal research scientist Caleb Harper. “We’re really interested in building networked tools that can take a plant’s experience, its phenotype, the set of stresses it encounters, and its genetics, and digitize that to allow us to understand the plant-environment interaction.”

Open Agriculture performs the studies in its warehouse headquarters at MIT-Bates Laboratory. Inside are specially-retrofitted shipping containers, designed “so that environmental conditions, including light, temperature, and humidity, can be carefully controlled.” The ability to artificially control conditions in these “food computers” has already yielded unexpected insight – the researchers’ initial study of basil plants revealed the plants had the best flavor after being exposed to round-the-clock light. “You couldn’t have discovered this any other way,” said John de la Parra, one of several co-authors of the study and an OpenAg research lead.

The burgeoning field of cyber agriculture has long suffered from siloed information, making MIT’s commitment to open-source tools especially significant. Equally so is their use of machine-learning algorithms, developed in conjunction with Cognizant, that “evaluated millions of possible combinations of light and UV duration, and generated sets of conditions that would maximize flavor, including the 24-hour daylight regime.”

Researchers have now set their sights on “developing basil plants with higher levels of compounds that could help to combat diseases such as diabetes” without any genetic modification while continuing to explore the effects of different environmental features. De la Parra calls the paper “the archetype” for future large-scale applications of the tools, as well as an opportunity to study climate change adaptation in far quicker, controlled ways than in nature. More insight will surely be gleaned from further study, but initial returns are clear: the future of agriculture may very well mix analog and digital realms for the best results.

Looking for Fresh Investment Ideas? See How Algorithms and A.I. Can Help

Want to invest and/or diversify your portfolio but unsure where to start? Artificial Intelligence can help! Tickeron has developed user-friendly Artificial Intelligence tools to help new and experienced investors generate investment ideas. Tickeron’s A.I. is capable of evaluating a portfolio and providing a “Diversification Score,” to tell the user how well-diversified their portfolio is. It can also generate investment ideas for a user’s 401(k) plan – even if you’re just getting started! The A.I. will give you ideas based on your risk tolerance, investment objectives, and the investment options available.

Tickeron’s new financial website is available to beginners, intermediate investors, and even experts and advisors. Explore tickeron.com today.

Related Tickers: IYW
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 07, 2021
4 Tricks Hedge Funds Use to Get Ahead

4 Tricks Hedge Funds Use to Get Ahead

If the stock market were Major League Baseball, hedge funds and institutional investors would be the pros on championship teams while everyday self-directed investors (SDIs) are the benchwarmers in the minors.It’s how they get ahead, and it’s why 90% of SDIs lose money trying to play (invest and trade) in the major leagues. The 4 tricks we discuss below are rooted in one common theme: they all use Artificial Intelligence and algorithms to generate data and ideas.
John Jacques's Avatar
John Jacques
published in Blogs
Mar 22, 2018
A.I. Stock Market Predictions: Head & Shoulders

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I.  Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Jul 10, 2020
3 Stocks to Buy if Coronavirus Second Wave Hits

3 Stocks to Buy if Coronavirus Second Wave Hits

By analyzing market trends from the first wave, you can predict behavior for the second. Technology stocks have performed at historic levels this year, but the market is severely overbought.To compensate for that, look at performance during Q1 and Q2, the height of global Covid shutdowns.
Edward Flores's Avatar
Edward Flores
published in Blogs
Feb 06, 2021
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations.  As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.
Alla Petriaieva's Avatar
Alla Petriaieva
published in Blogs
Feb 23, 2021
Is Ethereum’s Bomb about to Explode?

Is Ethereum’s Bomb about to Explode?

Ethereum’s software is set for an update in October.Until it is finished, participants in the Ethereum blockchain must determine how to delay the difficulty bomb – code that necessitates a steadily increasing amount of computer power to mine blocks and unlock rewards – that is already in place.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Aug 07, 2018
When Is the Next Recession Coming?

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 22, 2020
Central banks have been buying $2.4 billion in assets every hour for the past two months

Central banks have been buying $2.4 billion in assets every hour for the past two months

Some $17.8 billion has been poured into  bond markets over the past week, the biggest move in more than three months.Around $3.5 billion has been invested into gold, the second largest on record. 
Rick Pendergraft's Avatar
Rick Pendergraft
published in Blogs
Feb 07, 2021
Mid-January Short Interest Report Shows 8 Stocks with Good Fundamentals and High Short Interest
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 10, 2021
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 08, 2020
US unemployment rate jumps to 14.7%, the highest in series history

US unemployment rate jumps to 14.7%, the highest in series history

The U.S. economy’s employment fell by -20.5 million in April. The coronavirus crisis led to unemployment rate soaring to 14.7% in the U.S, the highest rate in the Bureau of Labor Statistics-tracked series history that goes back to 1948. However, the figures were better compared to several economists'/analysts' forecasts of 22 million job losses and 16% unemployment rate.  Another unemployment measure that includes those who have stopped looking for work as well as those holding part-time jobs for economic reasons also touched an all-time high of 22.8%.