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Mar 05, 2021

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.

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Related Ticker: IYW

IYW's RSI Indicator leaves overbought zone

The 10-day RSI Oscillator for IYW moved out of overbought territory on February 12, 2024. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 53 instances where the indicator moved out of the overbought zone. In of the 53 cases the stock moved lower in the days that followed. This puts the odds of a move down at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on February 20, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on IYW as a result. In of 71 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

The Moving Average Convergence Divergence Histogram (MACD) for IYW turned negative on February 15, 2024. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 43 similar instances when the indicator turned negative. In of the 43 cases the stock turned lower in the days that followed. This puts the odds of success at .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where IYW declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

IYW broke above its upper Bollinger Band on February 09, 2024. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Bullish Trend Analysis

The Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable future.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where IYW advanced for three days, in of 371 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 424 cases where IYW Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Fundamental Analysis (Ratings)

Fear & Greed

Notable companies

The most notable companies in this group are Microsoft Corp (NASDAQ:MSFT), Apple (NASDAQ:AAPL), Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), NVIDIA Corp (NASDAQ:NVDA), Meta Platforms (NASDAQ:META), Broadcom (NASDAQ:AVGO), Oracle Corp (NYSE:ORCL), Salesforce (NYSE:CRM), Advanced Micro Devices (NASDAQ:AMD).

Industry description

The investment seeks to track the investment results of the Russell 1000 Technology RIC 22.5/45 Capped Index. The fund generally will invest at least 80% of its assets in the component securities of its underlying index and in investments that have economic characteristics that are substantially identical to the component securities of its underlying index. The underlying index measures the performance of the technology sector of the U.S. equity market, as defined by FTSE Russell. The fund is non-diversified.

Market Cap

The average market capitalization across the iShares US Technology ETF ETF is 161.76B. The market cap for tickers in the group ranges from 2.11B to 2.99T. MSFT holds the highest valuation in this group at 2.99T. The lowest valued company is VYX at 2.11B.

High and low price notable news

The average weekly price growth across all stocks in the iShares US Technology ETF ETF was -3%. For the same ETF, the average monthly price growth was 0%, and the average quarterly price growth was 21%. PEGA experienced the highest price growth at 24%, while PANW experienced the biggest fall at -29%.

Volume

The average weekly volume growth across all stocks in the iShares US Technology ETF ETF was -7%. For the same stocks of the ETF, the average monthly volume growth was -16% and the average quarterly volume growth was -5%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 63
P/E Growth Rating: 54
Price Growth Rating: 45
SMR Rating: 64
Profit Risk Rating: 57
Seasonality Score: -46 (-100 ... +100)
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IYWDaily Signal changed days agoGain/Loss if shorted
 
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A.I.Advisor
published price charts
A.I. Advisor
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General Information

Category Technology

Profile
Fundamentals
Details
Category
Technology
Address
iShares Trust400 Howard StreetSan Francisco
Phone
1-800-474-2737
Web
www.ishares.com
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IYW and

Correlation & Price change

A.I.dvisor indicates that over the last year, IYW has been closely correlated with IGM. These tickers have moved in lockstep 99% of the time. This A.I.-generated data suggests there is a high statistical probability that if IYW jumps, then IGM could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To IYW
1D Price
Change %
IYW100%
-0.77%
IGM - IYW
99%
Closely correlated
-1.05%
VGT - IYW
99%
Closely correlated
-0.85%
FTEC - IYW
99%
Closely correlated
-0.89%
XLK - IYW
98%
Closely correlated
-0.63%
IXN - IYW
98%
Closely correlated
-0.58%
More
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