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Browse our curated collection of agriculture datasets covering crop yields, coffee prices, nutrition facts, and recipe ingredients. These datasets are perfect for building programmatic SEO pages targeting farming, food production, and agribusiness niches — helping you generate hundreds of data-driven landing pages at scale.
From 1961-2019, which crops per region were most harvested, produced the most yield, and produced the most quantity?
In July, US Arabica coffee futures hit a low of $1.55/lb due to anticipated supply surge and favorable Brazilian weather. The USDA predicts a 2.5% coffee production increase in 2023/24, with Arabica output up by 6.9%.
Lemon dataset has been prepared to investigate the possibilities to tackle the issue of fruit quality control.
Nutrition information for Starbucks menu items, including food and drinks.
These data contain reviews of 1312 arabica and 28 robusta coffee beans from the Coffee Quality Institute's trained reviewers.
While the RecipeNLG dataset is based on the Recipe1M+ dataset, it greatly expands the number of recipes available. The new dataset provides over 1 million new, preprocessed and deduplicated recipes on top of the Recipe1M+ dataset.
While the RecipeNLG dataset is based on the Recipe1M+ dataset, it greatly expands the number of recipes available. The new dataset provides over 1 million new, preprocessed and deduplicated recipes on top of the Recipe1M+ dataset.
The database contains food descriptions, nutrient values per 100g of edible portion, household measures, and sources. It includes weights for edible material and footnotes for additional information.
The global dataset of historical yields for major crops 1981–2016.
The world’s largest and most comprehensive resource on food constituents.
Explore nutrition facts from foods around the world.
Catalogue of all the world's edible plants - searchable by nutrient (Zinc, Pro-vit A, C, Iron, Protein) or area. 31,000+ plants.
130k wine reviews with variety, location, winery, price, and description.
The spoonacular API offers access to thousands of recipes, packaged foods, and restaurant menus. It enables natural language recipe search, nutritional information calculation, cost estimation, and meal planning for various food and nutrition apps.
