(BlockBar) Microsoft has applied an application suite in Brazil to improve the efficiency of the agricultural sector. The technology, called FarmBeats, uses blockchains, drones, IoT, artificial intelligence and big data to increase productivity. According to an exclusive report by Cointelegraph Brazil on June 6.
Microsoft offers application package based on blockchain and artificial intelligence (AI). This application suite will help increase agricultural productivity. Combined with blockchains, drones, Internet of Things, artificial intelligence and big data, FarmBeats can increase efficiency. This application suite has been used in the US, India, Kenya and New Zealand. It reduces the farm’s water use rate to 30%.
Ranveer Chandra, the founder of FarmBeats recently said that the agricultural department has been forgotten by the benefits of big data, artificial intelligence and blockchain – even claiming that hunting had seen more digital transformation despite being a smaller industry. He told business and economy magazine Epoca Negocios:
“Brazil is one of the first countries that comes to mind when we think of agriculture. We developed FarmBeats so that its technology could be applied here and in other developing countries.”
Epoca Negocios writes that this technology is considered as vital as farmers struggle to make a living in competition with climate change and growing demand for agricultural products. Chandra explain that if global food demand is to be met, production needs to increase by 70% in the next 30 years.
The scientist called on the Brazilian government to accept the technology and subsidize it in ways similar to agricultural equipment and fertilizers. Except from helping farmers use resources efficiently, FarmBeats claims to improve accuracy and yield by providing important statistics on soil temperature, moisture and nutrients. Data collection and application determine after-planning and decision-making operations. The visual technology in artificial intelligence allows the actions of harvesting and weeding based on visual processing to directly access and analyze complex graphics on the spot. In this way, a lot of cumbersome uploading and processing work could be avoided. Especially in large-scale geographically remote farmland, problems with bandwidth and network are easy to seen. Edge computing does not require expensive fiber, and can process data and feedback directly. There is no doubt that big agricultural countries will increase output by embracing Farmbeats.
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