We use our machine learning algorithms and satelite images to compute historic field performance and determine loan compliance. Lenders are notified automatically about the default once the farmer deviates beyond a defined threshold, .
It also generates vegetation index which advices where to apply nutrients, water or fertilizers based on soil variability
and improves trust between lender and farmer.
What we do
Farmsky helps collect, processes and analyzes large amounts of data from satellites using its own and known algorithms. We extract and share valuable insights with the users to help them quickly respond to any changes and effectively tackle farm problems.
Remote sensing technology helps asses the health condition of each crop, this data is then used to determine the quality of the crop.
Farmsky helps farmers and experts to predict the expected crop yield from a farmland by estimating the quality of the crop and the size of the farm.
Using powerful satellite images and data, Farmsky helps farmers get powerful insights from farmland, such as water stress level, soil type mapping etc.
Our Remote sensing technology can be used to monitor the weather patterns such as rainfall and drought patterns over a given area
Make the green world
The role of remote sensing tools (satellite, drone, etc.) in agricultural developments
Using remote monitoring of farms lands as a means to provide an early warning system for loan repayment risk
From connecting farmers to loans and and helping to predict farm yield for local farmers. We analyze how remote sensing stands to benefit local farmers in Nigeria
MEET OUR TEAM
MSc, Geographic Information Technoloy (in-view)
Bsc, Agricultural Science
PMP, Certified Project Manager
MEET OUR ADVISORS
MSc, Sustainable Agriculture and Food Security
Msc, Environmental Impact Assessment
Msc Geographic Infomation Science
MSc, Geographical Information Systems
There are several credit and loan facilities provided by the government to help farmers access funds to improve productivity on their farms