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How Location Technology Has Transformed Agriculture Connected Farm


Even as population growth slows, projections show that the world will be home to nearly 10 billion people by 2050, 2 billion more than it hosts today. The job of feeding them will fall to an industry that's emerging on the forefront of innovation. Article Snapshot: Long at the mercy of forces beyond their control, farmers are creating tech-reliant connected farms that track everything within inches and help them centrally manage every season in the fields. Farmers are getting younger and more tech savvy, and they're transforming the agriculture industry through location intelligence and tools such as AI, autonomous vehicles, and IoT-connected cattle. In this installment of the WhereNext Think Tank series, Esri's director of Professional Services, Brian Cross, interviews Esri's agriculture practice lead, Matt Harman.

How AI will Revolutionize the Future of Wine


Within the next decade, Artificial Intelligence (AI) has the power to transform the wine industry forever. Right now, applications of AI for the wine industry are limited – but AI promises to be one of those immersive technologies that are embedded in everything we do, one way or another. According to a growing number of wine experts, AI could impact everything from how we buy wine, to how we grow vines in the vineyard, to how we judge wine. Think of how the Internet has revolutionized the wine industry in just the past two decades. It impacts how we learn about wine, how we order and buy wine online, and how we market wine to end consumers via social media platforms.

Artificial intelligence is transforming the way we farm


Wine growers have a neat, if unusual, trick for making more flavorful wine--don't water the vines. Let the vines go dry right before harvest, and they will yield smaller grapes with more skin and less juice. Smaller grapes produce wine with a deeper color and more complex flavor. Trinchero Family Estates in Napa Valley, California wanted to make sure it was watering its grapes just the right amount, so they worked with Ceres Imaging to map their fields. Ceres used fixed-wing aircrafts to capture color, thermal, and infrared images of the vineyard, and they used artificial intelligence to analyze those images to see if the wine producer was overwatering its grapes.

How to retain your company's secrets for success by using big data, IoT, machine learning


Recently, I crossed paths at an airport with a Midwestern brewmaster who shared that he was ready to retire, but simply couldn't. There was no one to take his place who could brew the company's trademark recipes for beer. This is not an uncommon business problem. Semiconductor companies report that their master materials engineers, who could work around a material shortage and still come up with an effective product, are retiring. It's creating a know-how gap that might leave the next materials shortage unsolved, since newer employees lack the know-how and experience.

Digital vineyard of the future features drone data collection @UASMagazine


If a recent demonstration in Canada is any indication, the digital vineyard of the future might very well receive scientific data in real-time gathered by drones and transferred via a cell network. Global UAV Technologies Ltd., Jöst Vineyards, VineView (Scientific Aerial Imaging Inc.) and a major Canadian telecommunications company recently completed a 4G proof-of-concept mission in in Malagash, Nova Scotia, to demonstrate a real-word application of drone technology for a project called the "Digital Vineyard of the Future." "Fine wine making is in the growing of grapes with specific qualities, where many variables have to be taken into consideration," said Jonathan Rodwell, director of viticulture and winemaking for Jöst Vineyards. "We see these emerging technologies offering excellent opportunities for integrated measurement and management of our vineyards and focus on precision viticulture." Global UAV provided a 4G-enabled, Procyon 800E helicopter drone platform with a specialized multi-spectral imaging payload.

Machine Learning: Where Thinking Big Doesn't Mean Being Big


Artificial intelligence, machine learning, and deep learning – these emerging technologies are making headlines with publicity stunts and preliminary breakthroughs for industry giants with deep pockets. While most CEOs and senior leaders are quick to dismiss the next level of predictive analytics as more parlor trick than business case, a growing segment of midsize businesses is beginning to prove them wrong. "Making the Most of Machine Learning: Lessons from 5 Fast Learners," an SAP study conducted by the Economist Intelligence Unit (EIU), reported that small businesses (32%) and midsize companies (42%) are using machine learning for at least one business process. This finding is a stark difference compared to the adoption rates of large enterprises (26%), which traditionally have the resources (that their smaller competitors don't have) to implement such intelligent technology. Contrary to the hype surrounding machine learning, the progress that small and midsize businesses are making in this area is deeply rooted in future growth.

New-and-improved agri-robot hits the vineyards


Managed by an improved artificial intelligence system, VineScout utilizes input from a 3D stereoscopic machine vision system, LiDAR (light detection and ranging) and ultrasound sensors to follow the rows without running into anything, and to turn around and move over when changing from one row to another. Additionally, unlike VineRobot, it can operate day or night, gathering over 3,000 pieces of data per hour.

ScienceAlert Deal: This Service Uses Machine Learning to Find Your Perfect Wine


The world of wine is vast, and it seems like there are more wineries out there than grapes in a vineyard. As such, finding that perfect bottle of vino can feel like a nightmare. And, while asking your friends for recommendations can help refine the process, you can't always rely on their tastes to match your own. So, why not let data do the matching for you? Services like Spotify and Netflix already use artificial intelligence to match their users with music and TV - content that can be just as nuanced as a bottle of Merlot - and they do so with great effect.

Winetitles Media


Advanced machine learning and high-resolution satellite images are set to revolutionise the Australian grape and wine community's regional mapping and vineyard insights. World leading agricultural artificial intelligence software, GAIA (Geospatial Artificial Intelligence for Agriculture), has been developed by Consilium Technology, in partnership with DigitalGlobe and Wine Australia. The software provides groundbreaking insight into the health and quantity of all vineyards across Australia – effortlessly and in real-time. The partnership's initial co-investment will see GAIA deployed in Australia's wine regions to prove that the technology can deliver accurate, timely and cost-effective information about Australia's winegrape vineyards. DigitalGlobe is the world's leading provider of high-resolution Earth imagery.

Irrigation robots could help grow wine grapes in California


We all know by now that robots are the future of farming, and things are no different for winemakers in The Golden State. Faced with the shortage of water and workers, they asked researchers from the University of California to create an irrigation system that needs minimal human input. What the team came up with is a system called Robot-Assisted Precision Irrigation Delivery (RAPID) that uses a machine to monitor and adjust water emitters attached to irrigation lines. The researchers have been working to advance and refine the system since 2016, and RAPID is actually the second version of the project. In a new report, IEEE talks about where the researchers are with it, a bit over a year after it received a $1 million grant from the Department of Agriculture.