Gnawing, burrowing, infecting: The damages caused to agriculture by insect pests like the Japanese beetle (pictured above) exceed $100 billion every year, according to the Agricultural Research Service of the USDA. And along with plant diseases, which the exoskeleton buggers can also transmit, arthropods account for the annual 40% loss of agricultural production worldwide.

Enter FarmSense, a Riverside, California-based agtech startup attempting to solve the insect pest problem. The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. The key here: real-time information.

They claim real-time information provided by their sensors allows for early detection and thus the timely deployment of pest-management tools, such as insecticide or biocontrols. The current mechanical traps used for monitoring may only yield important intel 10 to 14 days after the bugs arrival.

Some of these bugs only live as adults for like five days, so by the time you know you have a problem, the problem has already taken root and is now a bigger problem, said Eamonn Keogh, a co-founder of FarmSense. Had you known about it in real time, you could have localized the intervention to just one location and had a much better outcome, saving pesticide, saving labor and saving the crop from being damaged.

How they can provide the information critical for achieving those better outcomes is a bit complicated.

FarmSenses new optical sensor dubbed the FlightSensor seen out in the field. The sensor promises to provide real-time data, as well as management strategies to help farmers mitigate damage from harmful insects. Image Credits: FarmSense

Currently being tested and researched in almond orchards in Southern California thanks to a Small Business Innovation Research grant, their newest sensor, termed the FlightSensor, is best understood when considering where Keogh got the idea for it: James Bond and Cold War espionage.

Keogh explained how Russian spies would use lasers, poised on glass window panes, to pick up on vibrations caused by peoples voices. Then a sensor would translate that information, providing rough intel on what was going on in the room.

With the same kind of trick in mind, I imagined what would happen if a bug flew past a laser you would hear just the bug and nothing else.

However, instead of reading vibrations, the FlightSensor uses light curtains and shadows within a small tunnel that the insects are drawn into by attractants. On one side of the sensor is a light source and on the other the optical sensor. The sensor measures how much light is occluded, or rather how much makes it across, when an insect flies inside. That data is turned into audio and analyzed by machine learning algorithms in the cloud.

According to FarmSense, the sensor, which is designed to look like old analog devices for ease-of-use by growers, does not pick up on ambient noises, such as wind or rainfall.

The quality of the signal is so beautifully clear and its so deaf to the ambient sounds normally heard in the field, Keogh said. Its essentially a different modality to hear the insect, but when you put on headphones and listen to the audio clip from the sensor, it sounds just like a mosquito or a bee flying around.

Keogh, a professor of computer science and engineering at UC Riverside, specializes in data mining and works on the novel machine learning algorithms that FarmSense employs for identification purposes. Assisting on the development and deployment are entomologists and field specialists, including co-founder Leslie Hickle.

Shailendra Singh the companys CEO who has developed systems for wireless and cellular networks as well as security works on the hardware side. He provided a working price point for each sensor, which will be billed by the season, at $300.

The impact of this technology is clear. For farmers tending to fields large and small, real-time information on insects would not only be important for their financial security, but would also allow them to potentially conserve and protect critical resources, such as soil health.

But FarmSense claims it wants to empower rural farmers who they say are disproportionately impacted by the damages caused by insects.

Yet $300 per sensor per season is stiff, posing a potential risk to adoption and, thus, to the techs ability to even solve the issue of insect damage in the first place.

One of the most difficult things for small scale-farmers is managing risk, said Michael Carter, the director of the USDA-funded Feed the Future Innovation Lab for Markets, Risk, and Resilience and distinguished professor of agricultural and resource economics at UC Davis.

Risk can keep people poor. It disincentives investment in technologies that would raise income on average, because the future is unknown, Carter said. People with low wealth obviously dont have a lot of savings, but they cant risk the savings to invest in something that might improve their income that also might cause their family to starve.

However, he was optimistic that technology like the FlightSensor could alleviate investment dread for small-scale farmers, particularly if the tech were paired with insurance to further protect them.

Shailendra Singh, left, and Eamonn Keogh are the co-founders of FarmSense, a Riverside, California agtech startup seeking to revolutionize insect surveillance. Image Credits: FarmSense

The technology also raises this question: Is real-time identification really the best option for pest management? Speaking to research entomologist Andrew Lieb of the USDA Forest Service, it might not be. He explained that the primary drivers of invasive insects typically the most destructive to both agriculture and forests are travel and trade.

He expressed optimism for technology as a way to control insect establishment, but ultimately thinks that the optimal strategy is to attack the problem even earlier. We should address current import and export laws, how products are treated to remove pests and perhaps even pass travel prohibitions.

Despite these concerns, it is beyond doubt that FarmSenses technology is poised for impact. Even thinking beyond addressing financial insecurity for farmers and threats to our global food chains, it might prove useful in tracking and spreading critical information about disease-vectoring insects, like mosquitoes.

And with the continual disruption caused by COVID-19, its difficult to imagine a world that isnt keenly aware of how biosecuritys successes or failures ripple throughout our myriad systems.

Looking at how non-native insect invasions are expected to increase by 36% by 2050 and how growing population numbers are going to put greater pressure on food production, innovative tech like the FlightSensor that advances our capacity to understand and thoughtfully respond to threats is more than welcome.

As Carter said about all of the possible ways in which agtech still stands to benefit agriculture, we need to be creative at those margins.

More here:

FarmSense uses sensors and machine learning to bug-proof crops - TechCrunch

As companies increasingly rely on data to drive strategic growth, there is a greater need, more than ever, for employees and leaders to be skilled at business analytics.

For example, according to the U.S. Bureau of Labor Statistics, a management analyst career is one of the fastest-growing, highest-paying positions in business, with projected growth greater than 14% from 2020 to 2030.

Whether you are in an entry-level position, a seasoned analytics professional, or you are looking to make a career change, a graduate degree in business analytics will better equip you to be competitive in this digital age.

As a Master of Science in Business Analytics (MSBA) student, you will develop analytical and leadership skills by learning how to use data to improve business decisions. You will also learn to deploy analytics to identify data insights that can be key to running a successful business.

Ad

MSBA graduates often go on to be self-employed or work in the professional, scientific, technical services, government, or finance and insurance industries. The Bureau of Labor Statistics reported in September 2021 that for those who go on to become management analysts*, the median pay is approximately $87,660, and the opportunities for new positions will grow to around 124,000 by 2030.

Below is a sampling of additional business analytics positions and their median annual salaries:

Business analyst, information technology: $70,489**

Business analytics director: $118,984***

Financial analysts: $83,660****

Operations research analysts: $86,200*****

For those who are eager to expand their knowledge and help shape the future of business, an investment in an analytics education can lead to a promising future.

A 2019 Deloitte Technology in the Mid-Market survey****** reported that 53% of corporate respondents said they are redesigning competency requirements to include skills like analytics and artificial intelligence. In the same report, more than 68% of respondents indicated they are developing new strategies to attract, recruit and retain workers in analytics-related positions.

Ad

While the pursuit of a masters degree might sound daunting, there is a lot more flexibility than there used to be.

At Northwood Universitys DeVos Graduate School of Management, the MSBA program includes a leadership component centered on effectively communicating analytics insights at all levels within an organization. Students complete their program by participating in a problem-based experiential capstone.

The program is rooted in application, and throughout the curriculum, students have many hands-on opportunities to use analytics to solve complex problems and make solid, future-oriented decisions. Students also learn how to leverage their analytical capabilities to become better leaders, communicators and team builders.

Ad

Here are a few things you can expect to develop through an MSBA program:

The ability to apply techniques of data mining, modeling and analytics to solve real-world business problems.

Skill development in analytics toolsets, such as SAS, Python, Bitbucket, R and GitHub.

Development of clear communication and storytelling abilities to translate analytic results to action.

The MSBA program at Northwood Universitys DeVos Graduate School is flexible and accommodates those with full-time jobs and busy lives. The comprehensive program offers competitive tuition and spreads 30 credit hours across 10 online courses and can be completed in 24 months.

Tap or click here to learn about the program.

Ad

Sources:

Continue reading here:

How an advanced degree in business analytics can boost your career - WDIV ClickOnDetroit

One of the biggest unresolved questions about the January 6th mob assault on the U.S. Capitol last year is how much social media factored into the violence that day. One year on, just over 700 people who answered Donald Trumps call to march on Congress are now facing charges in connection with the assault. Many of those indicted were identified through social media posts to Facebook, Twitter, and Parler, the far-right rival to mainstream platforms.

Facebook and Twitter have contended in the wake of the Capitol siege that their approach to content moderation is much more effective than so-called alternative tech, or alt-tech, platforms like Parler that brand themselves as champions of unmoderated free speech. But absent hard evidence and transparency about platform design features and about how content moderation decisions are made and implemented, it is hard to test those claims.

What we do know, one year on from January 6th, is that understanding how platform governance shapes the feedback loop between online social media and offline violence is crucial as we head toward the 2022 midterm elections. The urgency will only intensify if Trump runs for president again or otherwise involves himself in the 2024 election and succeeds in standing up his own social media company.

Recent polls indicate Americans are sharply divided about what happened on Jan. 6 and what it means for the future. But there is little question that the storming of the Capitol not only created a crisis of confidence in American democracy, but also shredded public faith in the tech industry. The attack on Congress and explosion of violent online content prompted Twitter and Facebook to ban Trump from their platforms, while Apple, Google, and Amazon all moved to cut off access to Parler.

Yet, there is a lot we still dont know about how social media factored into the calculations and decisions of the thousands of Americans who turned up in Washington on Jan. 6 to support Trump. How did niche social media sites geared toward far-right audiences, like Parler, contribute to polarization around the 2020 presidential election and factor into the January 6th attack? What trends can be extrapolated from the Parler data, and how might this data be used to detect early warning signs of political violence? Was Parler really more culpable, in important respects, than Facebook or Twitter in fanning the flames of the #StoptheSteal movement?

Millions of Users Sign Up

Founded in 2018, Parler took off during the 2020 presidential race. In the summer and fall of that year, high-profile conservatives, including representatives of the Trump campaign, urged their supporters to join them on Parler, which billed itself as a haven for free speech with a laissez-faire approach to moderation compared to mainstream platforms.

Millions of users signed up, driving a surge of activity leading up to and following the November election. In this environment, Stop the Steal the false narrative that Democrats had rigged the election in favor of Joe Biden spread like wildfire. Election conspiracy theories drove conversations on Parler to such an extent that posts mentioning Stop the Steal and overall Parler activity both peaked the week after Biden was projected to win the presidency, according an analysis of Parler data we conducted using the Social Media Analysis Toolkit.

In the immediate aftermath of the attack, Facebook chief operating officer Sheryl Sandberg tried to shift the blame for the violence onto Parler. The only way to test those claims, however, is to look at the data across platforms, and there is no shortage of that. On Jan. 11, 2021, an anonymous hacktivist who uses the handle @donk_enby on Twitter, released a massive tranche of Parler data that included 1,030,523 video posts and metadata from posts made by 13 million Parler users.

Working with our colleagues at Arizona State University and New Americas Future Frontlines program, we tapped into that data and other sources to assemble the puzzle pieces of what happened online and offline leading up to the January 6 siege. In addition to the @donk_enby video and image posts and metadata, another data source consisted of 183 million Parler posts collected by an international consortium of researchers, including several from New York University. Another data stream included charging documents for more than 630 individuals whom the FBI arrested and charged with crimes related to the Capitol breach, which traced arrestees to their state and town of residence. Yet another data set consisted of location information about protests that took place across the United States in the year leading up to the January 6th attack.

Nearly 60,000 of the 1 million-plus videos @donk_enby released contained latitude and longitude coordinates in the metadata, allowing us to map those videos to specific upload locations. The greatest density of video uploads was in the Washington, DC,region, with more than 1,000 in that area alone. The second most common location was St. Louis, Missouri, with over 500 video uploads.

Geographic Breadth

However, more than any particular location, what stands out about Parlers video content is its sheer geographic breadth. Parler users uploaded videos from many distinct locations across all 50 U.S. states, far too many to be the work of a centralized team. Many of the geotagged videos appear to be clustered around the suburbs and exurbs of major metropolitan areas. Rural areas are also well represented, particularly in more densely populated and privately owned rural areas east of the Rocky Mountains. By contrast, relatively few videos were uploaded near city centers.

Geographic diversity also increased over time. Parler users uploaded few videos to the platform before spring 2020, and until then, videos were sparsely distributed and varied in location from one month to the next. Only after the presidential campaign heated up in the summer of 2020, and video content spiked on Parler, does the data begin to show a trend toward consistent, diverse upload locations across the United States.

All this suggests Parlers successful penetration of grassroots political life in the second half of 2020. By November, the platform and Stop the Steal messaging, carried on the wings of politicians and influencers, had reached thousands of communities across the United States.

The list of Americans arrested and charged with crimes related to the January 6th Capitol attack confirms that Stop the Steal was a nationwide phenomenon. We mined charging documents and local news reports to find states and towns of residence for 632 individuals whom the FBI had arrested as of October 2021. The resulting dataset includes arrestees from 45 states and the District of Columbia. The top three states of origin were Florida (70), Texas (57), and Pennsylvania (56).

We wondered whether proximity to social unrest over the course of 2020 may have played some role in activating those who stormed the Capitol. So, we asked Princeton Universitys Bridging Divides Initiative to analyze arrestee residences against the U.S. Crisis Monitor, which records demonstrations and instances of political violence across the political spectrum.

The resulting analysis makes clear that the Stop the Steal movement gave geographic reach to Stop the Steal and suggests patterns of activation, such as proximity to protests. We found that the residences of those charged in the January 6th attack tended to cluster near areas where all types of demonstrations and counter protests took place, to a greater degree than anticipated under complete spatial randomness. In that respect, offline organized activity contributed to online activity, creating a potential feedback loop.

Patterns of Mobilization

We also learned that patterns of mobilization to violence on the platform were geographically distinct and evident well before the riot at the Capitol. Moreover, this relationship was strongest on the local rather than state level. That suggests that the proximity of protest activity prior to Jan. 6 may have been an influencing factor for a substantial number of those indicted in connection with the Capitol breach.

Understanding how protest activity near their homes may have influenced the Capitol rioters will require more research. Still, our work suggests that protest monitoring, combined with geotagged and anonymized social media content like that found in Parlers videos, may prove useful tools for detecting early warning signs of political violence from publicly available data. In other words, these types of findings may contribute to predictive models down the line.

Still, although the sheer volume of publicly available data from Parler is impressive and holds tremendous potential for modeling, it is important to note it does have limitations. It is impossible to collect complete data from most social media platforms, and the deplatforming of Parler means that the millions of posts we and other researchers have collected represent only a snapshot in time, and likely a highly pixelated one at that.

So-called alt-tech platforms in particular will be important to monitor and analyze as the 2022 midterm elections and 2024 presidential elections draw near. Our research, in fact, shows Parlers business model, platform design features, and content management system which gave outsized influence to high-profile Republican politicians like California Congressman Devin Nunes and pro-Trump personalities like Lin Wood combined to make the social media platform and its users especially vulnerable to high levels of manipulation and exposure to what Facebook and researchers refer to as coordinated inauthentic behavior.

Intimidating Content at a Large Scale

Coordinated inauthentic behavior may take any number of forms. In some cases, it might mean the use of bots to amplify content at a rapid rate, which can make memes and catchy hashtags like #StoptheSteal go viral. In other cases, as we saw with Russian interference in the 2016 presidential election, fake accounts can be used en masse to create a sense of ubiquity. It can also mean brigading that is, cooperating across networked social media to post intimidating content at such a large scale that it drowns out the voices of intended targets. Bottom line: what makes online behavior inauthentic is when posts are made at a rate and scale that would defy the laws of physics and human biology for a singular person.

Sometimes inauthentic behavior is deployed for deceptive reasons, as we saw with Russian interference in the 2016 and 2018 elections. Sometimes it is used to help spread important information faster and farther, as weve seen with important announcements about COVID precautions. The problem is that, when it is coordinated on a large scale, the overall impact is to create the illusion of virality. Or it can result in the misperception that content is trending and that sentiments are being widely validated in trusted networks of users and influencers. In both cases, it plays on cognitive biases that make us vulnerable to trickery and deception by machines.

Having a rough definition of inauthentic coordinated behavior and a sense of what it looks like on a platform like Parler isnt quite enough, however. The only way to know with any certainty about what the future impact of social media might be on Americas highly polarized politics is to examine how Parler users behaved before the platform was shut down and how the platform operated in a universe with giant supernovas like Twitter and Facebook shaping the very center of gravity on the Internet. Its also important to understand what, if any, connections exist between online and offline behavior.

What weve learned so far does not bode well for the future as we turn to the 2022 midterm elections. Given that Trump is launching his own social media platform, Truth Social, and that he may run for president again in 2024 or else try to shape the outcome, there are real reasons to worry about the proliferation of far-right alt-tech applications.

It has become commonplace in academia to call social media sites like Parler an echo chamber. But this term fails to capture the breadth and depth of the potential impact that lightly moderated platforms like Parler can have on political discourse and extremist violence. An echo chamber evokes an image of a bunch of words and memes bouncing around wildly inside a closed container. A more apt comparison for Parler and similar alt-tech sites is a hothouse: a place where conversations run wild, become radical, and eventually spill into the rest of the Internet and American political life.

The question for Congress, the White House, and the American public now is whether the United States can afford to let thousands or millions more poisonous hothouses bloom. If we want to prevent another January 6th, policymakers, researchers, and journalists likely need to keep a keen eye turned to Parler and the unwalled gardens where the alt-tech movement has taken root.

View original post here:

Mining Parler and Mapping the Stop the Steal Campaign - Just Security

N.THING CUBE, a container-built vertical farm engineered to reduce using earth resources, enhances the production of clean and safe yields that are free from pollution and pesticides and cultivated in a sustainable environment. By saving energy, and creating a sustainable ecosystem, CUBE is elaborating a decentralized farming solution that can be set up in any city without relying on imports and logistics for easy access to a traceable food supply.

"So far, agricultural products have been produced in centralized protocols and due to its dependency on location and climate, it is managed in a centralized and grower-driven manner," says Leo Kim, CEO & founder of N.THING Inc.

The CUBE is fully managed by IoT, cloud computing, and stability data mining, and the OS and dashboard allows customers to grow crops professionally regardless of their agricultural experience. Overall, the OS governs the farm, and provides customers with full access to monitor in real-time. Relying on this software, N.THING also unveils their newest variety of crop 'hemp' at CES. As one of its solutions, hemp business can be secured more dependency and productivity relatively free from human elements and climate variations. By this distinctive strength, major deals have been offered on site to run PoC in the US and European market with leading players in this industry.

Currently, N.THING holds various partners from online, offline, and commerce players in Korea. N.THING generates revenues by selling crops, farms and solutions.The Korean partnerships include Emart, a leading retailer in Korea, and value chain partnerships, a major logistics center of the Emart covering Seoul and Kyungi area in South Korea, and is directly distributed to the Seoul and Kyungi branches, reducing footprint and food miles.

"More and more consumers globally are noticing why the locally produced vegetables are necessary. Our crops, which are distributed in the cold-chain system, are taking a few hours after harvest, as compared to days or weeks for average products."

The CUBE operating system aims to produce crops of the highest quality. Provided that the farm has been managed sustainably, the OS provides farm owners with an ability to cultivate quality crops, retrieve an estimate on the overall productivity and forecasted profits. The OS provides users with full control over the growing process, and is designed to add smart solutions that will impact the growth stages, unlike what is available with traditional farming.

"I look at vertical farming as the way forward of an opportunity to show how software can feed the world sustainably." Leo explained. "Ultimately, the end-goal is to achieve a consumer-driven market that means the food and crops can be produced what the consumers need on the time they need. And our operating system is designed to effectively achieve this."

N.THING's key concept, called FaaP, Farm as a Product, had won the Best of Innovation award at CES 2020, and received an honouree award at CES 2022 Innovation Awards for Sustainability, Eco-design and Smart energy. And now they are ready to open series C fundraising globally in 2022.

About N.THING:

Established in January 2014, N.THING is a Seoul-based Agri-Food tech company leading innovation in agricultural products, by extension, in the farm-to-table food value chain by combining IoT technology and data. It developed the world's first modular vertical farm 'CUBE' which is easy to expand. N.THING CUBE is a modularized farm with mass productivity where a dedicated OS provides the most optimized environment for each crop so as to create maximized efficiency. N.THING is the world's first smart farming company that won the iF Design Award, Architecture in 2020. Also, it is a winner of Best of Innovation at the CES 2020 for its excellence in technology, which is the first ever in the agricultural field. N.THING is running vertical farms in Youngin, Andong, Icheon(will be launched in Jan., 2022) and in-store farm showroom 'Sik Mul Sung Dosan' in Korea, are planning to expand its business on a large scale this year after it successfully completes the PoC process in the U.A.E. For more information, please visit http://www.nthing.net

SOURCE N.THING Inc.

Read this article:

N.THING presents their up-to-date hybrid vertical farm at CES 2022 - PRNewswire

Research Report on Automotive Current Collector for Nickel Metal Hydride Battery Market added by In4Research consist of Growth Opportunities, Development Trends, and Forecast 2026. The Global Automotive Current Collector for Nickel Metal Hydride Battery Market report covers a brief overview of the segments and sub-segmentations including the product types, applications, companies & regions. This report describes the overall Automotive Current Collector for Nickel Metal Hydride Battery Market size by analyzing historical data and future forecast.

The Automotive Current Collector for Nickel Metal Hydride Battery Market Report includes:

To Get Sample Copy of Automotive Current Collector for Nickel Metal Hydride Battery Market Report with Complete TOC, Figures & Graphs Connect with us at https://www.in4research.com/sample-request/49342

Major Key Players Covered in The Automotive Current Collector for Nickel Metal Hydride Battery Market Report include

Automotive Current Collector for Nickel Metal Hydride Battery Market Segments and Sub-segments Covered in the Report are as per below:

By Type:

By Application:

For more Customization, Connect with us at https://www.in4research.com/customization/49342

Geographically, this report is segmented into several key Regions along with their respective countries, with production, consumption, revenue (million USD), and market share and growth rate of Automotive Current Collector for Nickel Metal Hydride Battery in the following regions:

The Covid19 pandemic has transformed the market landscape. The market ecosystem has taken a directional shift in the way supply-side of the market is accessed. The report covers the aftermath of the Covid19 catastrophe.

Get the PDF to understand the CORONA Virus/COVID19 impact and be smart in redefining business strategies: https://www.in4research.com/impactC19-request/49342

Important Features that are under offering & key highlights of the Automotive Current Collector for Nickel Metal Hydride Battery Market report:

Any Questions/Queries or need help? Speak with our analyst https://www.in4research.com/speak-to-analyst/49342

Major Points in Table of Content of Automotive Current Collector for Nickel Metal Hydride Battery Market

Chapter 1. Research Objective

1.1 Objective, Definition & Scope

1.2 Methodology

1.3 Insights and Growth Relevancy Mapping

1.4 Data mining & efficiency

Chapter 2. Executive Summary

Chapter 3. Strategic Analysis

3.1 Automotive Current Collector for Nickel Metal Hydride Battery Market Revenue Opportunities

3.2 Cost Optimization

3.3 Covid19 aftermath Analyst view

3.4 Automotive Current Collector for Nickel Metal Hydride Battery Market Digital Transformation

Chapter 4. Market Dynamics

4.1 DROC

Chapter 5. Segmentation & Statistics

5.1 Segmentation Overview

5.2 Demand Forecast & Market Sizing

Chapter 6. Market Use case studies

Chapter 7. KOL Recommendations

Chapter 8. Investment Landscape

8.1 Automotive Current Collector for Nickel Metal Hydride Battery Market Investment Analysis

8.2 Market M&A

8.3 Market Fund Raise & Other activity

Chapter 9. Automotive Current Collector for Nickel Metal Hydride Battery Market Competitive Intelligence

9.1 Company Positioning Analysis

9.2 Competitive Strategy Analysis

Chapter 10. Company Profiles

Chapter 11. Appendix

Buy Full Report at: https://www.in4research.com/buy-now/49342

Key Benefits of the Report:

For More Details Contact Us:

Contact Name: Rohan

Email: [emailprotected]

Phone: +1 (407) 768-2028

Read more from the original source:

Recent Analysis on Automotive Current Collector for Nickel Metal Hydride Battery Market 2021-2027 Top Trends, Business Opportunity, and Growth...