Finally a new technology has been developed to eliminate hunger and malnutrition, the latest advantage of machine learning technology. International researchers on Monday launched a new computing technology to fight hunger and malnutrition in sub-Saharan Africa (SSA). Although the machine learning technology could revolutionize the IT world, this might be the first time it is bringing its use into an entirely different sector. The new technology launched by the Center for Tropical Agriculture (CIAT), called Nutrition Early Warning System (NEWS), will help governments, aid groups, and farmers in early detection of famines, droughts, and floods among other calamities and help lessen their effects, especially those that lead to food shortages.
The machine learning technology could identify the threats, search for any early signs of potential crop failures, drought and any such factors that can trigger food shortage. By making use of big data and machine learning technologies, Kenya will be the first country ever to launch such a technology.
“We can now track how our food systems work, we will be able to identify trends and risk way ahead before they happen, thus averting the loss of many lives. The NEWS system is designed to handle complex multiple metrics and separate tracking to measure malnutrition, which governments find the data too much to absorb,” says CIAT’S Regional Director for Africa Dr. Debisi Araba.
Machine learning technologies and big data can in fact alter the way one live and especially this cutting tool technology can bring an end to hunger it seems.
YOU MIGHT ALSO LIKE::
Benchmark Electronics will develop Qualcomm’s biometric patches to monitor vital signs and track patients