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| Source: | Contracts Finder |
| Notice Type: | Award notice |
| Buyer: | Department for Environment, Food & Rural Affairs |
| Main Category: | Services |
| Procurement Method: | Call-off from a framework agreement |
| Tender Status: |
Pipeline status
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Application Deadline
7 October 2024
Closed
Estimated Value
£25,747.5
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| Estimated Value (ex. VAT): | £25,747.5 |
| Release Date: | 15 October 2024 |
| Application Deadline: | 7 October 2024 |
| Contract Start Date: | 13 October 2024 |
| Contract End Date: | 31 March 2025 |
| Contract Duration: | 6 months |
| Procurement ID (OCID): | ocds-b5fd17-eea73109-86c8-421c-b6cc-0344a1fe1c4b |
| Notice Reference: | e6fcfd92-c1ea-4bb3-a662-b41b24dff42f-794091 |
View Original Notice
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Awarded to
| Award value: | £25,747.5 |
| Award decision date: | 9 October 2024 |
| Award status: | Active |
Since the start of the ADAS Yield Enhancement Network (YEN) in 2012, an associated database has been curated, containing details on the location, soil, weather, agronomy, and yield for individual fields entered into the cereal and oilseed YEN. The majority of these fields are in England, with additional fields in Scotland, Wales, and parts of Europe. Farmers and/or agronomists providing data are asked to provide as much information as possible to describe their management approach, but detail has not been requested on the specific date, product and dose rate of pesticide applications, or on the wider IPM tactics employed around the farm. Despite this, many entrants did provide such information, either as additional notes or as supplementary data in the form of farm management system outputs. To better understand the practical implementation of IPM by members of the YEN network, this work would review the existing database to identify entries with sufficient data to analyse pesticide applications and calculate other IPM metrics within the YEN Cereals and Oilseed datasets. Additional detail will be added to individual sites where this is available. The data will be further complimented by including regional pest pressures extracted from the Pest and Disease survey, providing a proxy for pest pressure against application decisions.
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