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Top 10 IoT applications in 2020 - Which are the hottest areas right now?


IoT Analytics continues to track in which verticals most IoT projects are happening. The latest 2020 analysis shows that most IoT projects still happen in Manufacturing/Industrial settings, with verticals such as Transportation/Mobility, Energy, Retail and Healthcare having also increased their relative share in comparison to past analyses. The 2020 analysis is based on 1,414 actual IoT projects that were explored as part of IoT Analytics' research tracking IoT platforms and the underlying data is included in the 2020 list of 620 IoT platforms. The fact that more than 1,000 publicly announced IoT projects now make use of an IoT platform highlights the importance and pervasiveness of IoT platforms in bringing IoT solutions to market. This article discusses selected IoT projects in each of the 10 application areas, including 20 examples of recent projects – stay tuned for more in-depth coverage of the top IoT use cases and more structured industry-specific deep-dives in the coming months.

Connecterra wins record funding as COVID shows food supply weakness - IoT Now - How to run an IoT enabled business


Breed Reply, a European investor in early-stage Internet of Things (IoT) businesses, has increased its investment in Dutch agritech company, Connecterra. As part of its Series B funding round, Connecterra has secured €7.8 million from existing investors, Breed Reply and Sistema, alongside new investors including AgTech specialists ADM Capital, French food safety enterprise Kersia Group and Dutch impact investor, Pymwymic. The Series B funding round completed by Connecterra is the largest ever Series B investment raised by a European livestock tech company. The funding will be used to accelerate the development of Connecterra's predictive artificial intelligence (AI) platform, Ida. Ida is the first digital assistant for the dairy farmer, based on sensor technology, cloud computing and machine learning.

Agriculture Industry Moves Forward Using Artificial Intelligence (AI) To Improve Crop Management


It is always fun to look at the widening expansion of sectors that are being helped by artificial intelligence (AI). Farming has regularly used technology to improve yields. In recent years, global warming has made it more important to manage water resources through improved irrigation. Now the agriculture industry is looking at adopting AI in many ways. One of those methods is to analyze crops to better manage yield.

What Do DDT and Computing Have in Common?

Communications of the ACM

Writing on the 50th Earth Day brings to mind the origins of U.S. environmental movement. DDT is, of course, Bis(4-chlorophenyl)- 1,1,1-trichloroethane, perhaps the most effective insecticide ever invented. DDT was used widely with remarkable effectiveness in the 1940s and 1950s to combat malaria, typhus, and the other insect-borne human diseases. Its efficacy was unsurpassed in insect control for crop and livestock production, and even villages and homes. In short, it was a wonder chemical.7

Artificial Intelligence for Social Good: A Survey Artificial Intelligence

Its impact is drastic and real: Youtube's AIdriven recommendation system would present sports videos for days if one happens to watch a live baseball game on the platform [1]; email writing becomes much faster with machine learning (ML) based auto-completion [2]; many businesses have adopted natural language processing based chatbots as part of their customer services [3]. AI has also greatly advanced human capabilities in complex decision-making processes ranging from determining how to allocate security resources to protect airports [4] to games such as poker [5] and Go [6]. All such tangible and stunning progress suggests that an "AI summer" is happening. As some put it, "AI is the new electricity" [7]. Meanwhile, in the past decade, an emerging theme in the AI research community is the so-called "AI for social good" (AI4SG): researchers aim at developing AI methods and tools to address problems at the societal level and improve the wellbeing of the society.

China pig farm jams drones dropping swine fever-laced products onto its sites, but also GPS

The Japan Times

BEIJING – One of China's biggest animal feed producers said it had used a radio transmitter to combat crooks using drones to drop pork products contaminated with African swine fever on its pig farms, as part of a racket to profit from the health scare. In July, China's agriculture ministry said criminal gangs were faking outbreaks of swine fever on farms and forcing farmers to sell their healthy pigs at sharply lower prices. And Thursday, a state-backed news website, The Paper, reported that a pig farming unit of Beijing Dabeinong Technology Group Co. Ltd. had run foul of the regional aviation authority, as its transmitter had disrupted the GPS signal in the area. Answering questions from investors on an interactive platform run by the Shenzhen Stock Exchange, Dabeinong confirmed Friday that its pig farming unit in Heilongjiang province had unwittingly violated civil aviation rules. "Our unit in Heilongjiang province … to prevent external people from using drones to drop pork with African swine fever virus, violated regulations by using a drone control equipment set," the company said.

Asia's farms embrace tech revolution as workers become scarce


Agricultural and fishing industries in Asia are being transformed by technology as the cheap and abundant labor that they long relied on erodes due to demographic pressures. Rising wages across other industries have created a labor shortage in the traditional staples of economies, especially in Southeast Asia. To make up for a shrinking population of farmers, companies are adopting artificial intelligence and drones to help grow food more cheaply and efficiently. In Vietnam, Minh Phu Seafood is building new vinyl shrimp tanks that are shaped like deep bowls. Water is swirled around the tank so that waste collects at the bottom where it can easily be drained.

Large expert-curated database for benchmarking document similarity detection in biomedical literature search


Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.

Computer Vision for Global Challenges research award winners


Recent advancements in the field of computer vision (CV) have led to new applications that could benefit people globally, and especially those in developing countries. To bring the CV community closer to tasks, data sets, and applications that can have a global impact, Facebook AI launched the Computer Vision for Global Challenges (CV4GC) initiative earlier this year. Through a series of academic programs, mentorships, sponsorships, and events, CV4GC brings together field experts from around the world to discuss potential CV applications to address issues that affect developing regions. One such program is the CV4GC request for proposals, a research award opportunity that launched in February with the goal of supporting research that aligns with CV4GC's mission. We were particularly interested in proposals that extended CV technology to achieve global development priorities, especially those captured in the United Nations' Sustainable Development Goals.

Artificial intelligence offering a brave new world of how you'll farm, and eat


It used to be that artificial intelligence was limited to the realms of science fiction and movies like 2001: A Space Odyssey or Terminator's Skynet. Today, artificial intelligence is real -- think Alexa or Google Home -- and tools and applications putting it to use are emerging at a rapid clip in many fields, including agriculture and food. Artificial intelligence is an umbrella term for machine learning but its concepts are used in related fields, including robotics and natural language processing. It certainly figured prominently at this year's Global Food Innovation Summit in Italy, which I was able to attend with the support of a bursary from the Canadian Farm Writers' Federation professional development fund. "It will take resources to tackle problems we face like climate change, food security and hunger," said Zachary Fritze, CEO and co-founder of ag tech analytics startup Cultovo, during a presentation at the conference.