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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,266 datasets
A collection of subject documents on agricultural chemistry, sourced from the PapersWithCode platform. The author is listed as Christoph Meinel. The specific temporal coverage, size, and detailed content structure are not provided in the input.
AccessScience is an authoritative online educational resource covering major scientific disciplines, including agricultural engineering. The content is described as incisively written, high-quality, and trustworthy scientific information. It is authored by R. E. Garrett and hosted on the paperswithcode platform.
John Colville's personal diaries, kept secretly during his service at 10 Downing Street, offer a first-hand account of British wartime leadership. The text covers nine years of his sixteen-year tenure, primarily as Private Secretary to Winston Churchill. This edition includes transcribed and edited material from WWII not present in the original hardback publication.
The Food Access Research Atlas, created by Wolfram Research, Inc., provides a spatial overview of food access indicators for low-income and other census tracts. It offers data on supermarket accessibility for populations within census tracts. The dataset is intended for download and use in community planning or research.
Nick Cullather's historical analysis examines the 'green revolution' as a half-century political campaign to transform Asian rural societies through food and agriculture. The work explores how scientific agriculture was used as an instrument for social engineering during the Cold War, with policies contested by figures from Kennedy to Suharto. This narrative, sourced from paperswithcode, reveals the lessons from the costliest sustained development effort ever undertaken.
WildOS Frontiers contains between 1,000 and 10,000 images with visual frontier annotations for outdoor long-range navigation, released by leggedrobotics in February 2026. The dataset builds upon the GrandTour Dataset to identify exploration candidates such as trail ends, openings between trees, and road curves. It was developed to support open-vocabulary object search in unstructured wild environments.
A collection of 5,918 grocery products from 98 countries, evaluated using three scoring systems. The dataset was published on Kaggle. The specific source, author, and last update date are not provided in the available metadata.
Kaggle hosts an agriculture_dataset. The dataset's specific content, size, and origin are unknown from the provided metadata. Columns suggest it likely contains data related to farming, crops, or agricultural production.
Raw RFood VI is a dataset published on Kaggle. Its title suggests it contains information related to raw food ingredients, potentially within a Vietnamese context. The dataset's author, organization, size, and specific contents are unknown.
Preprocessing_rfood_vi_ck is a dataset hosted on Kaggle. Its title suggests a focus on food-related data, likely involving recipes or ingredients. The dataset's specific content, size, and origin are not detailed in the available metadata.
The dataset likely contains images for classifying 40 pest categories. It is hosted on Kaggle, but the author, organization, and creation date are unknown. The dataset's specific size, file formats, and column structure are not documented.
Kaggle hosts a synthetic dataset simulating food inventory data. The dataset is designed to be realistic for modeling purposes. Its author, organization, and specific size are unknown.
Featuring chemical, physicochemical, and sensory measurements from a study of hard goat milk cheese ripening during 2021-2022. It includes data on free amino acids, organic acids, volatile compounds, basic composition, and quantitative descriptive sensory analysis (QDA) from cheeses produced across different seasons and farms.
Finetree 3.0 is a dataset uploaded to Hugging Face by author asafd60 on 2026-04-04. The title suggests it is likely a training set for object detection, containing images with bounding box annotations and numerical facts. The specific content, scale, and license require verification after download.
Finetree 3.0 is a dataset published on HuggingFace by author asafd60, with a last recorded update in April 2026. The title suggests it contains data for training models on bounding box localization and numerical fact extraction. The specific content, scale, and application domains require verification after download.
Comprising over 2,000 international acquisition records in the global food sector, spanning transactions from 45 source countries to 46 host countries. It was created by Nils Herger to analyze determinants of location and growth for cross-border acquisitions. The data differentiates between food processing and retailing acquisitions and includes higher and lower/middle income countries.
A collection of over 2,000 international acquisition records in the global food sector, spanning transactions from 45 source countries to 46 host countries. It was created by Nils Herger to analyze determinants of location and growth for cross-border acquisitions. The data differentiates between food processing and retailing acquisitions and includes higher and lower/middle income countries.
Over 2,000 international acquisition records in the global food sector, spanning transactions from 45 source countries to 46 host countries. It was created by Nils Herger to analyze determinants of location and growth for cross-border acquisitions. The data differentiates between food processing and retailing acquisitions and includes higher and lower/middle income countries.
Replication data for an academic comment on the pass-through rate of the Nutrition North Canada subsidy. The dataset includes Stata and Excel files to reproduce tables and figures from the paper. It was authored by Nicholas Li and hosted on Harvard Dataverse.
This dataset supports research on the uneven diffusion of cotton as a cash crop in colonial Africa, focusing on the period from approximately 1900 to 1960. It provides a comparative analysis between British Uganda and the interior of French West Africa, investigating the role of agricultural seasonality in shaping adoption, colonial policy, and post-colonial outcomes.