Revolutionizing agriculture with #AI and #technology. Empowering #farming through #LLMs, technology, and #satellite insights.

Joined November 2020
25 Photos and videos
Grain Data Solutions retweeted
The @grAIn_data solutions team, just provided a preliminary report to an Ontario farmer πŸ‘¨β€πŸŒΎ that verified what they were doing to protect the soil 🦠πŸͺ±πŸŒ± , and WHEN πŸ—“οΈ they began to implement those practices πŸ“ˆ, all from πŸ›° satellite Imagery #RemoteSensing #MachineLearning
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Grain Data Solutions retweeted
Only 3 days to the October 22 deadline to submit a Project Registration Form for #agriculture or #food innovators applying to CAAIN’s $10M 2021-2022 #agtech #innovation competition. If you need an AI project partner @grAIn_data is interested. caain.ca/funding/2021-2022-o…

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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
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Grain Data Solutions retweeted
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
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Grain Data Solutions retweeted
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?
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Grain Data Solutions retweeted
How long is your long term thinking?

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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.
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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
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#AI can predict the severity of crop #diseases with a high accuracy based on historical data and this #farming season situation.
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#Agriculture based activities are complex processes with a high number of variables involved. As a result, #Datadriven #agriculture is necessary to maximize #Insights from your #data toward your ROI. #data #agriculture #AI #datadriven
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#data driven decision in is to make the best of the information you have even though there is uncertainty around that. #data #AI #ArtificialIntelligence #DataDriven
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Knowing what happened in #farm is not just about learning from history, but also #predicting the future and taking a proactive approach. #AI #agriculture #Farming #ArtificialIntelligence
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While complexity in #agriculture #data can overwhelm the human mind, #MachineLearning algorithms are structured to deal with it effectively. #AI #agriculture #farming #MachineLearning
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We all make data driven decision on simple actions every day with no need to use #artificial_intelligence. However #Farming , farming #data and #data_driven farming are not simple, they are inherently complex. #AI #agriculture #DataScience #DataAnalytics #Farming
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#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
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Training a reliable #MachineLearning model is at the heart of any complex #datadriven #agriculture. This leads to next phase which is translating the #Insight form #AI to an actionable intelligence where decisions could be made upon it. #AI #datadriven #agriculture
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#datadriven #agriculture reduces the costs and improves the yield. #AI #agriculture #datadriven #farming
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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.
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Find similar #trends in time series #data from the past #farming seasons to predict the potential #trend for this season by #datamining and #AI. #datamining #agriculture #farm #AI
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