China Agriculture Analytics Market Trends Analysis, Sales Revenue, Competitive Landscape and Market Expansion Strategies 2035
www.marketresearchfuture.com/reports/chin...
#ChinaAgricultureAnalyticsMarket #AgriTechChina #SmartAgriculture #FarmData
Agriculture Analytics Market Trends Analysis, Sales Revenue, Competitive Landscape and Market Expansion Strategies 2035
www.marketresearchfuture.com/reports/agri...
#AgricultureAnalyticsMarket #AgricultureAnalytics #AgTech #FarmData
Land O’Lakes + Microsoft are building “Oz,” an AI agronomy copilot. Built on deep internal guidance—but the real hurdle isn’t UX. It’s trust: accuracy, incentives, and farm data rights.
agtech.industryexaminer.com/land-olakes-...
#AgTech #AI #TechNews #AI #Agronomy #PrecisionAg #FarmData
Agronomy-as-API: Syngenta opens Cropwise to third-party devs (models + remote sensing). Distribution (~70M ha) + consent-first data could shift the “farm OS” balance. Full analysis: agtech.industryexaminer.com/syngenta-cro...
#AgTech #APIs #FarmData #EUDataAct #DeveloperPlatform #TechNews
The FLAME dataset provides farm-level geospatial and tabular data products that map agricultural landholdings and ownership structures across England. Developed to support environmental policy, nature finance, and agri-environmental modeling, FLAME integrates multiple open data sources into a harmonised spatial database of farmed assets. This version (v2.0) includes detailed information on: ● Farm boundaries derived from spatial overlays of land parcels. ● Ownership boundaries associated with registered titles. ● Cropping and land use attributes sourced from annual returns. ● Matched farm-business entities using natural language processing and rule-based entity matching. ● Aggregated indicators on area, land use types, and overlaps between ownership and farm. ● Metadata on administrative districts and relevant environmental overlays. Key features: ● Combines Rural Payments Agency (RPA) land parcel data, HM Land Registry ownership polygons, and June Agricultural Census statistics. ● Includes NLP-enhanced entity resolution for linking farm and ownership entities. ● Provides geospatial fields including SBI-level farm areas, ownership-perimeter overlaps, and crop-specific land use. ● Useful for asset-level emissions accounting, biodiversity mapping, regulatory targeting, and financial risk analysis.
A Field-Level Asset Mapping Dataset for England's Agricultural Sector doi.org/10.1038/s415... paper by @hassanaftab.bsky.social et al
Dataset doi.org/10.5281/zeno... (CC-SA)
Blog post www.smithschool.ox.ac.uk/news/we-mapp...
#farmdata #opendata #landuse #biodiversity
An AI generated image of a farm at sunrise turning into ones and zeros with the text: Data for Farm Value Global Challenge and the logos of the Food and Agriculture Organization of the United States, Viikki Food Design Factory and University of Helsinki.
FAO & VFDF just launched the Data for Farm Value Global Challenge to unlock the power of farm-level data.
20 startups. Global impact. Farmer-first innovation.
🌱Apply now & scale your solution!
💡 buff.ly/gzltxXz
#SIF2025 #DigitalAg #FarmData #AgInnovation
@vncntjm.bsky.social @helsinki.fi
The HSE refused the WildFish request saying that it did not hold the farmers’ records and therefore could not provide them. In response, WildFish lawyers successfully argued that those records – albeit that they are kept by the farmers themselves – are "held on behalf of" the HSE and therefore do fall under the definition of information to be provided, pursuant to the Environmental Information Regulations 2004, to anyone who requests copies.
Information Commissioner decides in favour of WildFish in pesticide pollution case wildfish.org/latest-news/... (Great Britain)
ICO decision notice on access to pesticide use records wildfish.org/wp-content/u...
#FOI /EIRs #pesticides #farmdata #agridata
