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OLDS COLLEGE has floated a tender for Hd Grid Soil Sampling and Analysis for Advancing Agronomy through Hyperlayer Data Collection and Analytics. The project location is Canada and the tender is closing on 16 Sep 2022. The tender notice number is 132-2022, while the TOT Ref Number is 71126996. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : Canada
Summary : Hd Grid Soil Sampling and Analysis for Advancing Agronomy through Hyperlayer Data Collection and Analytics
Deadline : 16 Sep 2022
Other Information
Notice Type : Tender
TOT Ref.No.: 71126996
Document Ref. No. : 132-2022
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Description: N6630n: Soil Testing Kitsb102a: Soil Studiesk107ce: Soil Analysis Services Response Submission: Purchasing@Oldscollege.Ca4500 - 50Th Streetolds, Alberta Canadat4h 1R6 Response Contact: Patel, Rajpurchasing Specialist4500 - 50Th Streetolds, Alberta T4h 1R6tel: 403-556-4788Email: Purchasing@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 the 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 will Allow for Automated Analysis of Various Agronomic Field Characteristics Including Plant Available Soil Nutrients and Water, Instant Identification of Yield-Limiting Factors, Automated Calculation of Optimal Fertilizer Rates, and Site-Specific Estimation of Best Achievable Yield Potential. Olds College
Posted: 09.01.2022
Expires Date: 09.16.2022
Category: Services
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