The @grAIn_data solutions team, just provided a preliminary report to an Ontario farmer π¨βπΎ that verified what they were doing to protect the soil π¦ πͺ±π± , and WHEN ποΈ they began to implement those practices π, all from π° satellite Imagery #RemoteSensing#MachineLearning
A bird-eye view from Sentinel-2 satellite on 100,000 acres of farm land south of Calgary, AB, and comparing its vegetation to the same time from previous years. #heatwave2021#Drought21#satellite
We are honored to be part of the Government of Ontario Agri-Food Sectoral Data Table and shared our feedback this morning with the Deputy Minister on issues around data ownership, data privacy and data scatterness for digitizing Agri-Food sector in Ontario. #OntarioOnwards
Farmers of twitter #AgTwitter - Have you been asked to demonstrate how you have improved Soil Carbon or Soil Organic Matter over time. Are you curious for your own field? Establishing a baseline for Benchmarking?
Whether or not using #fungicide? One side of the equation is the fungicide costs. The other side is the #yieldfarm loss due to #disease, multiplied by dollar value of that loss, multiplied by how likely is that to happen - which comes from #AI and #MachineLearning model.
Our latest video that highlights the potential of #AI in #agriculture and specifically #farming to generate #data-driven decisions that are proactive rather than reactive.
youtu.be/OeQEbaSWNRA
#data driven #Farming is about finding the way inputs affect outputs of farm, and also the complexity of interactions between these variables. While this complexity can overwhelm human mind, #machinelearning algorithms are structured to deal with it perfectly.
#AI#agriculture
Global #food demand for the coming years is not going to be addressed by using more resources. The only realistic solution for #agriculture to fulfill this role will be adopting new technologies such as #AI.
ALT agriculture solution for hunger problem with AI