Capgemini has introduced its development of an clever information platform – Project FARM (monetary and agricultural advice fashions).
The platform was designed utilizing synthetic intelligence (AI) and Big Data to find out farming patterns producing insights for optimisation of the agricultural worth chain in East Africa to strengthen world meals provide. In addition to AI, the platform will use machine studying to make it relevant on a wider scale.
With a bigger proportion of the world being fed by small famers primarily in creating nations, the complexity of the worth chain, the dearth of assets and the anticipation of a 60% improve in world meals demand by 2050, Capgemini goals to sort out these points with its Project FARM platform inbuilt collaboration with Agrics.
The information and analytics generated by Project FARM will present farmers with helpful insights for tailored optimised crop manufacturing, potential enterprise dangers and business resolution making, all of which might be distributed to worth chain companions to remove inefficiencies.
“By connecting farming communities with data science, and big data with traditional farming methods, the FARM platform is built to optimize the value chain and bring parties together as an ecosystem around one data-driven platform. The platform can pave the way for bringing automated farming to small-scale farmers. With the increasing availability of open data and decreasing prices of sensors and satellite imagery, the future of farming is bright,” commented Julian van Velzen, Data Analyst at Capgemini, main Project FARM.
Providers of information for Project FARM to run cloud primarily based analytical fashions embrace:
Agrics, offering crop manufacturing information, potential and realised yield, area parameters, credit score and repayments.
Copernicus, offering climate information by way of its satellites.
“Project FARM provides Agrics with an excellent opportunity to maximize value for its clients – the smallholder farmers – and to other actors in the value chain like processors and financial service providers. Through our interactions with the farmers we are on top of a huge reservoir of data. We can now turn this data into meaningful insights, which allows us to provide time and location specific products and services to increase yield and lower risk at farm and value chain level. Increased value chain effectiveness will help to directly improve income and food security of rural populations,” added Violanda de Man, Innovation Manager at Agrics East Africa.
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