The 8 Best Language Learning Apps That Really Work

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Whether you’re gearing up to go on vacation, studying for exams, or just want to expand your mind, it’s always a great time to learn a new language.

You can stock up on books, spend hours listening to CDs, take an online class, or try learning as you browse the web. But these mobile apps give you easy ways to integrate learning into your daily routine no matter where you go.

1. Duolingo

With a bright and intuitive interface, Duolingo lets you naturally progress at your own pace. You start with simple phrases and gradually move to more complex sentences. There’s help every step of the way as Duolingo points out mistakes and praises your efforts.

Duolingo addresses reading, writing, and pronunciation by challenging you with a fun range of activities. It’s amazing how quickly you can pick up the basics without even realizing it. Plus, it’s easy to revisit the lessons and work on your weaknesses.

Duolingo offers an upbeat experience, lets you join clubs for healthy practice, and really does make learning enjoyable.

Download: Duolingo for Android | iOS (Free)

2. Memrise

Many students use flashcards to help them through their exams and Memrise takes a similar approach. It starts off slowly. To learn Russian, for instance, you’re guided through the Cyrillic alphabet, but that’s by no means a bad method. There’s something quaint and inviting about its simplistic visual aids, as if a friend is showing you tips to remember each lesson.

Memrise has a friendly interface that’s encouraging and attractive. If you are interested in expanding your new language skills, take a look at Memrise Pro which offers games, chatbots, and an offline mode for learning on the go.

And if you like the game idea, you can also learn Spanish with a set of fun and educational games.

Download: Memrise for Android | iOS (Free)

3. Busuu

Boasting over 80 million users worldwide, the best aspect of Busuu is its interactivity. With 12 languages, full courses, exercise reviews from native speakers, and accent training, you get a complete experience with Busuu.

You can begin with a placement test so that you start at the right level. This is terrific if you are not a complete beginner but want to practice language skills you learned earlier. The app also provides offline access, grammar tips, and official certificates with its premium upgrade.

Busuu is an all-around super option that gives you a wide range of learning activities.

Download: Busuu for Android | iOS (Free)

4. HelloTalk

HelloTalk connects you to people who speak the language you want to learn. In return, you help them learn your language. It’s an incredibly basic idea that lets you talk to native speakers. Everyone’s there for the same reason and you can be both a student and teacher without much hassle.

HelloTalk lets you select your entry level, then find a stranger to talk to. A variety of neat tools like correction, translation, and speaking make this a full-featured chat experience.

There’s a huge list of languages to choose from, and you can refine your list of possible tutors by age and country. HelloTalk breaks down the barriers between countries and that’s what learning another language is all about.

Download: HelloTalk for Android | iOS (Free)

5. Rosetta Stone

Rosetta Stone has been a leader in teaching languages for 25 years. So it’s no surprise that it has a mobile app too. Choose from 24 languages and then start learning the basics. Listen to the words and repeat them, then match photos to phrases.

You can easily review your progress with correct answers in pronunciation, vocabulary, and grammar. Rosetta Stone is a subscription-based learning tool, but you can try out the first lesson for free to see if you like it. If you are serious about learning a new language, then Rosetta Stone is an excellent option.

Download: Rosetta Stone for Android | iOS (Free)

6. Babbel

Babbel is similar to Rosetta Stone in that it’s a subscription-based app where you can try out the first lesson free. Select from 14 languages, listen and repeat words, and then test what you learn. You can also disable the microphone and just hear the words spoken to you with a brief quiz at the end.

When you finish the lessons, you can view the vocabulary lists and then choose from flashcards or writing exercises to review what you learned. If you are serious about learning another language and don’t mind the subscription price, Babbel is another great choice.

Download: Babbel for Android | iOS (Free)

7. Beelinguapp

If you want a unique learning experience that involves books, Beelinguapp is for you. The app offers your favorite stories with an audiobook reader in a variety of dialects. You can read the story yourself if you prefer and see it in both your language plus the one you are learning on the same screen.

Pick from a classic like The Three Musketeers or let your child enjoy a tale like Cinderella. What’s great about Beelinguapp is that you can follow along with the audiobook reader as the words are highlighted with the narration. This is quite helpful with pronunciation. For a two-in-one app that lets you appreciate a story while learning a new language, Beelinguapp is a winner.

If you like tunes or news instead of tales, then take a look at how music can help you learn a foreign language or how to learn a new dialect with the daily news.

Download: Beelinguapp for Android | iOS (Free)

8. Clozemaster

Clozemaster for iPhone

For a gamified language learning experience with an old-school look and feel, check out Clozemaster. The app offers over 100 languages, an optional text-to-speech feature, and a free account signup for saving your progress.

You can start with the most common words where you earn points for selecting the correct word missing from the sentence. Then when you’re ready, take on the grammar challenges.

Clozemaster is a good follow-up for testing what you recently learned or brushing up on a language you learned years ago.

Download: Clozemaster for Android | iOS (Free)

Are You Ready to Parlais Francais?

Speaking more than one language improves your memory, enhances your perception, and gives you a greater command of your native tongue. It can help your business expand and introduce you to new friends. Put simply, it’s a wonderful way to better yourself.

With so many easy-to-use apps out there, there’s no reason not to dabble in Spanish, French, Gaelic, or even Mongolian. And if you want something out of the box, take a look at some unusual ways to learn a new language.

iPhone and iPad – MakeUseOf

Cash For Apps: Make money with android app

Google’s Emoji Scavenger Hunt is a browser-based game that tries to make machine learning fun and accessible

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

“Machine learning” and “neural network” are familiar terms to anyone who follows what Google is up to these days, but they may not be the most accessible or comprehensible concepts for the masses. And that’s fine — you don’t need to have a firm grasp of machine learning to enjoy better photos or keyboards, for instance. Still, Google has been quietly showcasing ways for users to get more hands-on with these concepts, and the latest such experiment is a game called Emoji Scavenger Hunt.

Read More

Google’s Emoji Scavenger Hunt is a browser-based game that tries to make machine learning fun and accessible was written by the awesome team at Android Police.

Android Police – Android news, reviews, apps, games, phones, tablets

Cash For Apps: Make money with android app

Best iPhone and iPad Coding Apps for Kids: Learning to Code Made Fun Loving

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Best iPhone and iPad Coding Apps for Kids

Does your little kid aspire to be the next-gen app developer or you want your sweetheart to get on with coding early on? We have you fully covered with the best iPhone and iPad coding apps for kids.

These top coding apps for iOS make learning incredibly easy. They are loaded with a gazillion of puzzles, scintillating animation and more significantly richly crafted concept that your children would love to get hooked. Oh yes, they also offer tons of rewards to keep them pumped up for more! So, why don’t you lap on a nice one to kick-start the joyride for your fast-growing champ?

Best iPhone/iPad Coding Apps for Kids

#1. codeSpark Academy

codeSpark Academy iPhone and iPad App Screenshot

codeSpark Academy offers an immensely helpful coding program for kids 4-9. Its curriculum has been prepared based on collaboration with and research from MIT, Princeton and Carnegie Mellon.

To me, the biggest flashpoint of this app is the very interesting “no words” interface that teaches the basics of computer programming using a number of interactive learning activities like puzzles, games, step-by-step creative projects, game design and more.

As per your child’s progress, the app also provides personalized daily activities to keep his interest intact. Besides, you can also keep track of the learning of kid. Once the trial period expires, you will need to upgrade the app ($ 7.99/monthly) to continue.

Price: Free

#2. Lightbot: Programming Puzzles

Lightbot Programming Puzzles iPhone and iPad App Screenshot

Featured by Apple in more than 100 countries, Lightbot is designed to be an exciting programming puzzle game. The game has 50 levels and 20 challenge stars to collect. Each level has been crafted smartly to not just teach but also entertain kids.

To crack the conundrums, they need to use programming logic. What’s more, they can play Lightbot in multiple languages including English, French, Russian, Brazilian Portuguese, Spanish, Traditional Chinese, Simplified Chinese, Norwegian, Slovenian, Romanian, Indonesian, German, Polish, Danish, Croatian, Dutch, Slovak, Czech, Greek, Italian, Japanese, Korean, Malay, Thai, Hindi, Swedish, Finnish and Hungarian.

Price: $ 2.99

#3. SpriteBox Coding

SpriteBox Coding iPhone and iPad App Screenshot

SpriteBox is a fantastic adventure game that’s primed to teach coding in a fun way. The app offers a neatly structured program that starts with icon coding and gradually moves to real Swift syntax. Kids can explore different worlds, unlock new outfits and also meet new characters.

There are 70 intriguing puzzles to solve. Besides, they have 500 stars to collect. With stunning graphics and impressive animation, SpriteBox doesn’t take much time to win the heart of kids!

Price: $ 2.99

#4. Code Kingdom: Treasure

Code Kingdom iPhone and iPad App Screenshot

Every kid (6 to 11) would like to have the Code Kingdom to learn basic programming. Children get to interact with hilarious characters that develop a strong interest in programming in them. They learn the concepts of spatial imagination, logical operations, and algorithmic thinking skills.

Challenging game scenarios where kids have to use programming knowledge to solve puzzles. With hundreds of levels on offer, they will enjoy playing games while also learning.

Price: Free

#5. Code Karts – Pre-coding logic

Code Karts iPhone and iPad App Screenshot

What makes Code Karts such a brilliant code-learning app is the well-thought curriculum. It teaches students through numerous attention-grabbing puzzles presented in the form of a raceway.

There are more than 70 levels, which are primed to test the skills of kids. It has two modes of classic and competition that are aimed at developing sequencing, problem-solving and logic. Even better, Code Karts supports 21 languages to ensure you can learn to code in your favorite language.

Price: Free

#6. Think & Learn Code-a-pillar

Think & Learn Code iPhone and iPad App Screenshot

I have found this app very entertaining. The app teaches preschoolers multi-step plans to achieve a goal. Besides, it also offers fun rewards, sound effects and animations to make playing the game a wonderful experience.

Kids will get knowledge about numbers and how they form a sequence. They can also learn how to find the solution to a problem. Lastly, Code-a-pillar supports four languages like English, French, Portuguese and Spanish.

Price: Free

#7. Daisy the Dinosaur

Daisy the Dinosaur iPad Coding App Screenshot

The biggest highlight of Daisy the Dinosaur is the ability to teach coding in a pretty simple way. Thanks to the drag and drop interface, it makes learning a straightforward task. Kids will love animating Daisy and make her dance on their screen.

Kids will understand the basics of objects, sequencing, loops, and events taking challenges head-on. The clean user-interface and cool animations play a pivotal role in winning over the heart of children.

Price: Free

#8. Move The Turtle Programming For Kids

Move The Turtle Programming For Kids iPhone and iPad App Screenshot

Having been the Winner of a Parents’ Choice Gold Award and praised by various popular tech sites, Move The Turtle is a cut above the rest when it comes to teaching basic programming to kids (5+).

A step-by-step guide to colorful environments makes learning a pleasing affair. By following simple examples, your kid can get on with learning smoothly.

Along the learning, the app offers a number of challenges to test the mettle of children. And yes, there are a lot of rewards to get. That apart, Move The Turtle is compatible with three languages including English, Polish, and Spanish.

Price: $ 3.99

#9. ScreenPlay – Code your Story

ScreenPlay iPhone and iPad Coding Game Screenshot

The Screenplay is primed to be a highly engaging and challenging game through which kids can learn basic programming concepts. All the characters are intelligently guided by different actions that make it a bit straightforward to understand.

Each level ensures kids have thoroughly understood the concept and are also enjoying it without any hurdle. There are a wide variety of puzzles never to let the game become predictable. Additionally, ScreenPlay can be played in three languages like English, Portuguese, Spanish, etc.

Price: $ 0.99

#10. Coda Game – Make your Own Games

Coda Game iPhone and iPad App Screenshot

Coda Game provides absolute freedom to kids to play the game just the way they want. They can drag and drop the visual coding blocks to create wonderful games like air hockey, flappy bird, and platform games. They can also share their masterpiece with friends and loved ones.

With 37 triggers onboard, kids can form their own rule to follow. It has a huge library of over 70 graphical assets to let them adorn their games. Moreover, there are eight sound effects to spice things up in a big way!

Price: $ 2.99

#11. GoldieBlox: Adventures in Coding

GoldieBlox Adventures in Coding iPhone and iPad App Screenshot

How about indulging in some jaw-dropping adventures while learning to code? Well, GoldieBlox is what you should pick for your kids to help them get to know all the basic nuances of coding.

Activities like delivering cupcakes to party guests bring a lot of joy into the play. The adventure mode with more than 20 levels of coding puzzles is impressive. Even better, kids can also code their own game map by learning to adjust variables. Did I say, there are also several mini-games keep them entertained?

Price: $ 2.99

That’s all, folks!

What’s your pick?

I guess you have found a great coding app for your kid, haven’t you? It would be my pleasure to know its name and the features you have liked in it.

You might want to read these posts as well:

Enjoyed reading this article? Download our app and stay connected with us via Facebook, Twitter, and Google Plus to read more such top iOS app lists.

The post Best iPhone and iPad Coding Apps for Kids: Learning to Code Made Fun Loving appeared first on .

Cash For Apps: Make money with android app

How to use machine learning for your startup’s product

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

There’s a misconception that to leverage machine learning you need to be a mathematical genius. In reality, most machine-learning applications use well-understood, well-tested, off-the-shelf algorithms. For many developers, especially those at startups, the real challenge lies in training the data. Overcoming this challenge takes clever product development with an eye on user experience. Do you really need machine learning? Machine learning can make a good product even better: more engaging, more responsive, and more effective. But, before tackling machine learning, ask yourself whether algorithms are right for your product. Start testing the learning aspect with humans before jumping into machine…

This story continues at The Next Web
The Next Web

Cash For Apps: Make money with android app

Group protects rainforest with recycled phones, machine learning

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Rainforest Connection, a San Francisco-based non-profit organisation, is using recycled phones and Google’s open source machine learning framework, TensorFlow, to protect the rainforest.

The group has created a low-cost network that listens for sounds of illegal deforestation, and analyses the data.

According to Topher White, founder and CEO of Rainforest Connection, destruction of forests accounts for a rise of nearly 20 percent in greenhouse gas emissions every year. Tropical deforestation has been accelerated by rampant logging, 90 percent of which is done illegally and undercover.

Protecting the world’s rainforests may be the fastest and cheapest way to slow climate change, believes White, and locals and indigenous tribes are best suited to protect critical regions.

“Rainforest Connection is a group of engineers and developers focused on building technology to help locals – like the Tembé tribe from central Amazon – protect their land, and in the process, protect the rest of us from the effects of climate change,” said White in a blog post.

“Chief Naldo Tembé reached out to me a couple years ago seeking to collaborate on ways that technology could help stop illegal loggers from destroying their land. Together, we embarked on an ambitious plan to address this issue using recycled cellphones and machine learning.”

White’s team has built what it believes is the world’s first scalable, real-time detection and alert system for logging and environmental conservation.

The team has hidden modified smartphones powered by solar panels – dubbed ‘Guardian’ devices’ – in trees across threatened areas. The phones monitor the sounds of the forest, and send the audio to cloud-based servers over the local cellphone network.

This is where machine learning steps in. TensorFlow is used to analyse all of the audio data in real-time, listening out for chainsaws, logging trucks, and other evidence of illegal activity. The audio is constantly being sent to the cloud from every phone, 24 hours a day.

White said that the stakes of missing illegal activity are high. “That’s why we’ve come to use TensorFlow, due to its ability to analyse every layer of our data-heavy detection process.

“The versatility of the machine learning framework empowers us to use a wide range of AI techniques with deep learning on one unified platform. This allows us to tweak our audio inputs and improve detection quality.

“Without the help of machine learning, this process would be impossible. When fighting deforestation, every improvement can mean one more saved tree,” he explained.

Read: Bee robotic: Walmart files patents on automating agriculture 

Internet of Business says

This brilliant scheme mixes low-cost, but sophisticated technology – recycled phones – and cloud-based smart analytics. The environmental benefits are twofold: not only does the scheme help protect the rainforest, but it also keeps the phones out of landfills and uses both their processing power and their network connections.

The use of audio, rather than video is smart too: less data, and zero reliance on light and visibility in dense areas of foliage, especially if illegal activities take place at night.

A brilliant, low-cost, connected scheme that gathers data, gets smarter, and has obvious benefits for human beings: a model for IoT developments of every kind.

Read more: How IoT, smart supply chains can avert global food crisis

Read more: Dell takes a fresh look at IoT with Aerofarms

The post Group protects rainforest with recycled phones, machine learning appeared first on Internet of Business.

Internet of Business

Cash For Apps: Make money with android app

Rainforest Connection enlists machine learning to listen for loggers and jaguars in the Amazon

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

The vastness that makes the Amazon rainforest so diverse and fertile also makes it extremely difficult to protect. Rainforest Connection is a project started back in 2014 that used solar-powered second-hand phones as listening stations that could alert authorities to sounds of illegal logging. And applying machine learning has supercharged the network’s capabilities.

The original idea is still in play: modern smartphones are powerful and versatile tools, and work well as wireless sound detectors. But as founder Topher White explained in an interview, the approach is limited to what you can get the phones to detect.

Originally, he said, the phones just listened for certain harmonics indicating, for example, a chainsaw. But bringing machine learning into the mix wrings much more out of the audio stream.

“Now we’re talking about detecting species, gunshots, voices, things that are more subtle,” he said. “And these models can improve over time. We can go back into years of recordings to figure out what patterns we can pull out of this. We’re turning this into a big data problem.”

White said he realized early on that the phones couldn’t do that kind of calculation, though — even if their efficiency-focused CPUs could do it, the effort would probably drain the battery. So he began working with Google’s TensorFlow platform to perform the training and integration of new data in the cloud.

Google also helped produce a nice little documentary about one situation where Guardians could help native populations deter loggers and poachers:

That’s in the Amazon, obviously, but Rainforest Connection has also set up stations in Cameroon and Sumatra, with others on the way.

Machine learning models are particularly good at finding patterns in noisy data that sound logical but defy easy identification through other means.

For instance, White said, “We should be able to detect animals that don’t make sounds. Jaguars might not always be vocalizing, but the animals around them are, birds and things.” The presence of a big cat then, might be easier to detect by listening for alarmed bird calls than for its near-silent movement through the forest.

The listening stations can be placed as far as 25 kilometers (about 15 miles) from the nearest cell tower. And because a device can detect chainsaws a kilometer away and some species half a kilometer away, it’s not like they need to be on every tree.

But, as you may know, the Amazon is rather a big forest. He wants more people to get involved, especially students. White partnered with Google to launch a pilot program where kids can build their own “Guardian,” as the augmented phone kits are called. When I talked with him it was moments before one such workshop in LA.

Topher White and students at one of the Guardian building workshops.

“We’ve already done three schools and I think a couple hundred students, plus three more in about half an hour,” he told me. “And all these devices will be deployed in the Amazon over the next three weeks. On Earth day they’ll be able to see them, and download the app to stream the sounds. It’s to show these kids that what they do can have an immediate effect.”

“An important part is making it inclusive, proving these things can be built by anyone in the world, and showing how anyone can access the data and do something cool with it. You don’t need to be a data scientist to do it,” he continued.

Getting more people involved is the key to the project, and to that end Rainforest Connection is working on a few new tricks. One is an app you’ll be able to download this summer “where people can put their phone on their windowsill and get alerts when there’s a species in the back yard.”

The other is a more public API; currently only partners like companies and researchers can access it. But with a little help, all the streams from the many online Guardians will be available for anyone to listen to, monitor and analyze. But that’s all contingent on having money.

“If we want to keep this program going, we need to find some funding,” White said. “We’re looking at grants and at corporate sponsorship — it’s a great way to get kids involved too, in both technology and ecology.”

Donations help, but partnerships with hardware makers and local businesses are more valuable. Want to join up? You can get at Rainforest Connection here.

Mobile – TechCrunch

Cash For Apps: Make money with android app

Apple & IBM to empower businesses with mobile machine learning

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Apple IBM partnership

New mobile machine learning capabilities are coming to Apple devices, thanks to IBM Watson and Apple Core ML.

Under CEO Tim Cook’s leadership, Apple has been angling for an ever-bigger piece of the enterprise pie. Last year we saw the technology giant partner with GE to bring the industrial predictive and analytics capabilities of the Predix IIoT platform to Apple’s iOS.

But for the past few years Apple has been deepening and extending its ties with IBM too. When the two companies announced their strategic partnership in 2014, Tim Cook and IBM CEO Virginia Rometty claimed that “Apple and IBM are like puzzle pieces that fit perfectly together.”

The agreement saw IBM transfer over 150 of their enterprise and IT apps and tools to Apple platforms natively, and IBM selling iPhones and iPads to its business clients the world over. It crucially gave Apple access to the business verticals that Microsoft has historically dominated.

Now the duo has added machine learning to the partnership, combining IBM Watson with Apple Core ML to bring new AI insights to the business apps on Apple devices.

Watson + mobile machine learning

Earlier this week we reported on IBM’s new Watson Assistant AI. The latest announcement with Apple looks to further Watson’s capabilities. The initiative will benefit a class of products numbering in the hundreds, sourced by the collaboration so far – across finance, insurance, energy, manufacturing, aviation and beyond.

In leveraging the new technology, customers can build machine learning models using IBM Watson (the companys’ cloud-based AI platform for business) and train it with their own industry-specific data. This includes the ability to create different machine learning models, compare the results, and run automated experiments – identifying patterns and gaining insights to reach decisions more quickly.

Machine learning is implemented with IBM Watson’s visual modelling tools, such as PixieDust and Brunel but there’s support for Jupyter notebooks with Python, R and Scala – plus the open-source RStudio. This is then converted to Apple’s Core ML to integrate it with Apple-compatible applications.

One such application of machine learning is enabling iPhone cameras to access Watson’s image recognition capabilities. Users can identify and classify content, before analysing it to extract detailed information. This capability could shake up workflows in the industrial, logistics, and healthcare sectors.

The machine learning algorithm will mature over time as apps feed data back to Watson in the cloud. Mahmoud Naghshineh, general manager for IBM Partnerships and Alliances explained, via TechCrunch:

That’s the beauty of this combination. As you run the application, it’s real time and you don’t need to be connected to Watson, but as you classify different parts [on the device], that data gets collected and when you’re connected to Watson on a lower [bandwidth] interaction basis, you can feed it back to train your machine learning model and make it even better.

Internet of Business says

By placing these sorts of automated, intelligent applications in the hands of enterprise workers, via their iPhone or iPad, IBM and Apple are enabling a more informed and mobile workforce. This has the potential to boost efficiency levels, collaboration, and decision-making.

While these two disparate companies may seem like unlikely bedfellows, there was truth in the ‘puzzle piece’ analogy. In merging the design and UX pedigree that come’s with Apple’s decades of consumer experience, with the IT expertise and vertical user-base of IBM, there are the makings of a force to breach fortress Microsoft in the business arena.

The post Apple & IBM to empower businesses with mobile machine learning appeared first on Internet of Business.

Internet of Business

Cash For Apps: Make money with android app

The AI and machine learning innovations taking John Deere to the next level of precision agriculture

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Plenty of companies are talking about artificial intelligence and machine learning today in vague, disconnected terms. It will certainly influence our strategy; not sure how, but everything’s coming up AI, right?

As a pleasant antidote to all that bluff and bluster, how about this from John Stone, senior vice president of the Intelligent Solutions Group at agricultural manufacturing giant John Deere? “AI and machine learning is going to be as core to John Deere as an engine and transmission is.”

Make no mistake about it, these are certainly exciting times for the 180-year-old Deere & Company. The company has in the past several months acquired Blue River Technology, a machine learning-centric startup, as well as opened up a lab in the heart of Silicon Valley.

Yet this is just the way things have been done for some time at the company – it’s just the technology has changed with it.

Than Hartsock, director of precision agriculture solutions at John Deere, has been involved with the company for much longer than his almost 17-year tenure, having grown up on a commercial grain farm in Ohio. In the late 1990s, his education – Hartsock has degrees in soil and crop science – involved working on projects around soil sensing technologies. Deere acquired NavCom Technology, a provider of global navigation satellite system (GNSS) technology, at around the same time. “It was clear, even when I was in high school, that John Deere was uniquely committed to precision agriculture,” says Hartsock.

It was the Internet of Things long before anyone came up with a proper name for it. Yet this initial investment translates to a serious advantage for the company today. “Those early investments have allowed us to, I would say, position the integration of those components into our equipment into our machines, across machines, and into our dealerships,” explains Hartsock. “It went from ‘okay, this is something Deere is doing [and] it may not be completely clear why we’re doing it’, [and] now it’s at the forefront of our company. It’s how we think about our value proposition to the industry, to farmers, crop producers, and customers.”

No stone is left unturned, no crop is left unfurled – and this is where Blue River comes in. The company provides what it calls ‘see and spray’ technology, which utilises machine learning to process, in real-time, images of weeds and crops and tell the sprayer what and where to spray. It makes for a vast improvement on anything a human can do – but it remains important to keep human expertise.

“Farmers, and their advisors and contractors – these are individuals that bring decades and generations of knowledge about the practices, about the land that they farm,” says Hartsock. “The way we see it is the technology – even artificial intelligence and machine learning – provides them the tools to essentially extend and scale their knowledge.

“Imagine the smart spraying scenario… you could imagine an agronomist, a farmer needing to come into that field ahead of time,” Hartsock adds. “What’s the state of the crop? How much input do I want to invest in this crop at this stage? The machine is going to be able to discern between weeds and crops, but I need to decide economically, agronomically, how much I want to invest.”

Hartsock will be speaking at IoT Tech Expo Global in London on April 18-19, discussing how agriculture has become a prime example of optimising on connected technologies. Inside the industry technological advancement has never been clearer – but what about outside it?

Take self-driving cars as an example. You can’t move for hype and headlines around them, but what can they actually do today? Compared to a smart tractor, one can argue it’s mostly child’s play – and Hartsock wants to make clear how smarter machines and the IoT have ‘infiltrated’ agriculture.

“When you look at a planter and a tractor, in many cases, nearly all cases, that planter or that seeder will have a sensor on every row that’s measuring every seed and every row that’s dropped into the soil,” says Hartsock. “It will have a sensor that measures the motion of the planter row unit to make sure the row unit is keeping in close contact with the soil, and if it’s not maintaining contact, the sensor informs an actuator to apply more pressure to the row unit.

“That’s just the planter,” he adds. “The tractor is equipped with many sensors around the engine and transmission, and then that tractor, like most of our large ag machines, is equipped with a 4G modem that then provides connectivity between those sensors and data that’s being acquired, and then connected to the cloud.

“Once the data gets to the cloud we give the user, the farmer, the contractor, the authority over the data to dictate control and share with other partners and other companies,” Hartsock says. “You really then have this ecosystem that evolves, develops, for usage of the data… all generated out of the work that’s being done in the field by that smart machine.”

Than Hartsock will be speaking at IoT Tech Expo Global, in London on 18-19 April. Find out more about the event here. Latest from the homepage

Cash For Apps: Make money with android app

Rainforest Connection is fighting deforestation with old phones and machine learning

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Machine learning is pretty cool—in fact, the only computer science course I took in college was related to it. So we tend to get excited by novel uses for the technology here at Android Police, and in a recent post to Google’s blog, a company called Rainforest Connection came up with an interesting application: Deforestation. 

The specific implementation here is ingenious. By chaining together a system of solar-powered recycled Android phones, each device is able to record ambient audio and upload it online via existing cellular networks.

Read More

Rainforest Connection is fighting deforestation with old phones and machine learning was written by the awesome team at Android Police.

Android Police – Android news, reviews, apps, games, phones, tablets

Cash For Apps: Make money with android app

The seven best iPhone or iPad apps for learning to play the guitar

How Complete Beginners are using an ‘Untapped’ Google Network to create Passive Income ON DEMAND

Article Image

Whether you’re just learning, trying to get better, or looking to upgrade your equipment, the App Store offers a wide variety of apps geared towards guitarists, and after playing with a bunch of them, AppleInsider gives your our seven favorites.
AppleInsider – Frontpage News

Cash For Apps: Make money with android app