If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
It's a cloudy day in early October and I'm circling my rented Jeep Wrangler around a maze of industrial buildings in Hamilton, Ohio. Hamilton is a small city 30 miles north of Cincinnati with a population of just over 62,000 people. Like much of Ohio, farming is important here. I'm on my way to a farm called 80 Acres, but it isn't the sprawling midwestern wheat field you're picturing in your mind. This tech-centric farm is indoors, housed entirely in a nondescript 10,000-square-foot warehouse.
Agriculture is a very visual industry. At every stage of the food value chain, industry workers with varying education levels, experience, and age are performing thousands of tasks and making decisions- primarily based on visual inspection. The quality and accuracy of these actions and decisions can vary greatly and have real economic consequences. Industry innovators have responded with a "more is better" approach: add more sensors, add more automation, add more inputs like drones or satellite imagery. The result is the availability of more agricultural data than ever before, for growers who are less equipped to make sense of it all.
Trends change faster than ever and within minutes or hours, something can go viral. This is especially true for the food and consumer goods industries, where social media popularity can realistically translate into higher sales or controversy, as seen late last year with Popeyes Chicken Sandwich and a Peloton bike advertisement. Signals Analytics, an AI-powered platform, helps companies in the food and pharmaceutical industries identify trends and capitalize on troves of previously untapped data streams. Frances Zelazny, Signals Analytics chief marketing officer and head of strategy spoke to TechRepublic about the food trends in 2020 and what people may be eating in six months based on their research. "We are focused on external data, so you should think about social media posts, product reviews, commentary on news websites, patent filings, research papers, conference agendas and other data sources. Think about what it would be like if you could have access to all that data and could use that data in order to make decisions. Most companies use two or three external data sources," Zelazny said.
Cities around the world are getting smarter. Already, street lights in places like San Diego are turning off, and conserving energy, when vehicles and pedestrians aren't around. Soon, connected garbage cans will tell waste haulers when they need to be emptied, optimizing collection routes. Smart buildings will notify maintenance staff of impending repair needs. And parking spots will find you, instead of the other way around.
The global artificial intelligence in agriculture market size is expected to reach USD 2.9 billion by 2025, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 25.4% from 2019 to 2025. Artificial intelligence solutions in the agricultural industry are emerging in various forms, such as soil and crop monitoring, agricultural robots, and predictive analytics. Farmers and agribusiness corporations are increasingly using soil sampling and artificial intelligence -enabled sensors for data gathering for better analysis and processing. The availability of these processed data has paved the way for the deployment of artificial intelligence in agriculture and farming.
To be eligible for MSc Agriculture (Agronomy), students must have a BSc or BSc (hons) Agriculture degree. Industry focus The Institute is planning to set up an industry advisory board consisting of technology firms and traditional agro companies to help leverage the expertise of both the sectors. It is also in talks with Israel, known for its technologically advanced agro industry, to formalise possible collaborations. Job prospects "Since smart agriculture is still at its infancy in India, the onus is on us to convince potential recruiters about the technology-enabled programmes and students' job-readiness. However, food processing, which will be one of the focus areas of the BTech Food Technology programme, is emerging as a sunrise industry and is one of the 25 focus sectors of the government's'Make in India' initiative," Jha says. Agri-based government jobs and food officers looking into food safety, are some of the possible job profiles for this sector. "With agritech having received 300% more funding in 2019 as compared to 2018 according to data released by NASSCOM survey, technology in agriculture is emerging as an area with abundance of opportunities for young entrepreneurs," Jha adds.
As we learn more about the diverse value of AI today, we envision self-driving cars and robots put to use to improve our human lives. Yet animal welfare is another valuable area of application to appreciate. Animal farming is becoming a data-centric business. AI in animal husbandry is used for raising animals for meat, fiber, milk, eggs and other products. With AI, providing day-to-day care and raising livestock has become easier for animal farmers.
In its 4 year existence the Israeli start-up Taranis has seen huge growth. Taranis started as a tool to provide farmers with the information to detect and prevent crop disease, weeds and insect damage based on weather forecasts gathered from aerial surveillance. The technology was then further developed by adding visual layers from satellites, planes and drones and leveraged with AI capabilities. Taranis also created a one-of-a-kind, patented hardware that can capture accurate images at a high resolution from a plane flying at 160 km/h, such as a specific insect on a leaf from 200 feet above ground. Taranis CEO Ofir Schlam says the future of the precision farming industry is looking bright, with thousands of start-ups emerging within the last 10 years.
Key Questions Answered in this Report: • What is the estimated global artificial intelligence in agriculture market size in terms of value during the period 2018-2024? Global Artificial Intelligence (AI) in Agriculture Market Forecast, 2019-2024 The Global Artificial Intelligence (AI) in Agriculture Market Analysis projects the market to grow at a significant CAGR of 28.38% during the forecast period from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Artificial intelligence has emerged to be a strong driving force behind the growth of data-driven farming.Regions and countries where agriculture is the major source of livelihood and sustenance, the artificial intelligence technology has led to greater profitability in the farms of those economies. The reduction in expenditure and resultant positive RoI with AI's integration in farm equipment and operations has even reached above 30% in a few countries.
Artificial intelligence is coming for America's high-paid professions as it creates winners and losers across the labor market like never before. White-collar jobs and better-educated occupations along with production workers are among the most susceptible to AI's spread into the economy, according to a Brookings Institution report Wednesday that draws on a new analysis of patent data by a Stanford University economist. "Just as the impacts of robotics and software tend to be sizable and negative on exposed middle- and low-skill occupations, so AI's inroads are projected to negatively impact higher-skill occupations," researchers Mark Muro, Jacob Whiton and Robert Maxim wrote. Workers with graduate or professional degrees will be almost four times as exposed to AI as workers with just a high school degree, the report showed. The researchers also concluded that AI appears most likely to affect men, prime-age and white and Asian American workers.