The agriculture industry now has more technological resources at their disposal than ever before, and farmers are starting to embrace the IoT in particular as an invaluable tool in the effort to better meet increasing demands for their crops. Greater use of IoT-powered precision agriculture technologies hold the promise of both improving farms’ financial performance and assisting in increasing production to better meet the food needs of an expanding population.
Weeds can cause crop losses worth $43 billion annually in North America, and that’s just for corn and soybeans, according to a recent study. The report suggests that as weeds become herbicide resistant, new technologies will be needed. Watch how Robovator, a high-tech tractor-mounted robot, can be trained to automatically remove weeds with stealth-like precision
Tool innovation sparked the first agricultural revolution 10,000 years ago. But today, new digital tools such as robotics, machine learning and data analytics are helping farmers feed billions of people around the word.
One in five farmers in the U.S. are using mobile devices, IoT sensors, and real-time data analysis to turn agriculture into a more precise science.
Today's farmers are faced with the gargantuan task of growing more food for more people on the same (or shrinking) acreage. FarmLogs is using real-time analytics to help growers make this possible—providing immediate data on harvest, growing condition, and vegetative health.
As global population growth soars, food security—the availability of and access to food—is an increasing concern. High costs and inefficiencies have made farming an increasingly unviable profession. A successful eAgriculture project in Odisha, India, demonstrates how technology can be used to improve the livelihoods of small farmers.
Big agriculture is responding to higher food demands by leaning on innovative thinking and new techniques to push up their production capabilities. Technology innovations are flooding into the market, and major players like Monsanto expect a boom in agricultural data science, as the market value reaches $20 billion by 2020.