- Country: Canada
- Summary: Machine Learning Support for Advancing Agronomy through Hyperlayer Data Collection and Analytics
- CAT Ref No: 62999686
- Deadline: 21 Feb 2022
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: RFP 125-2022
- Purchaser's Detail:Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details.
- Description:
- Description: N8720: Fertilizersu008p: End-To-End Learning Services (Excludes Cots Training)N3710: Soil Preparation Equipment5179h: General Machine Shop Servicesn3710t: Soil Preparation Equipment, Spare Partsaa910300: Agriculture (R&D)F006d: Crop Harvesting, not Elsewhere Specifiedn3710d: Fertilizer Spreaderf006e: Crop Services5179ha: General Machine Shop and Tool Room Servicesf006b: Harvesting Hay and Silageaa415504: Aquaculture (R&D)N3750r: Tractors, Gardening Response Submission: Olds College4500 50 Streetolds, Abpurchasing Departmentpurchasing@Oldscollege.Ca Response Contact: Mosuro, Olatundesenior Procurement Coordinator4500 50 Stolds, Alberta T4h 1R6tel: 403-556-4787Fax: 1.403.556.4711Email: Omosuro@Oldscollege.Ca Opportunity Description: the Overarching Goal of this Project is to Develop Predictive Algorithms Based on Machine Learning (Ml) for Estimating the Concentrations of Plant Available Nutrients in Soil, Instant Identification of Yield Limiting Factors, Calculating Best Achievable Yield Goals, and Automated Calculation of Site-Specific Fertilizer Prescriptions. Multiple Layers of Geospatial Data, such as Multi- and Hyperspectral Imagery, Thermal Imagery, Microwave Soil Moisture Measurements, Ground Penetrating Radar Data, High Density Soil Tests, Soil Compaction, Elevation Data and Field Surface Analysis, Gamma-Ray Soil Spectrometry Analysis, Soil Electrical Conductivity, and Yield Monitoring Data, will be Used to Build New Ml Predictive Algorithms, which w...
- Documents:
If you are registered member, kindly login to view full details of this tender notice:
CLICK HERE TO LOGINMachine Learning Support for Advancing Agronomy through Hyperlayer Data Collection and Analytics - Canada Tender
The OLDS COLLEGE, a Government sector organization in Canada, has announced a new tender for Machine Learning Support for Advancing Agronomy through Hyperlayer Data Collection and Analytics. This tender is published on CanadaTenders under CAT Ref No: 62999686 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2022-02-21.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
