--- title: "Agricultural and Biological Sciences — papers — Elamur Research" description: "Agricultural and Biological Sciences: 6 papers of the Elamur Research library, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/agricultural-and-biological-sciences/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/agricultural-and-biological-sciences/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / Agricultural and Biological Sciences # 🌾 Agricultural and Biological Sciences 6 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Plants, animals, farming, food and the living world outside the laboratory. ## Subfields The sub-shelves of Agricultural and Biological Sciences, the most papers first, with the two OpenAlex topics most of their papers here are on. 1. [**Plant Science**Smart Agriculture and AI*4 papers*](https://md.research.elamur.ai/free/en/shelves/agricultural-and-biological-sciences/plant-science/) 2. [**Food Science**Food and Agricultural Sciences · Food, Nutrition, and Cultural Practices*2 papers*](https://md.research.elamur.ai/free/en/shelves/agricultural-and-biological-sciences/food-science/) ## Papers (6) 1. [**Do As I Can, Not As I Say: Grounding Language in Robotic Affordances**Michael Ahn, Anthony Brohan, Noah Brown, et al.*2022 · 876 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2022-i-i-say-grounding-language/) 2. [**A Hybrid Deep Learning Model for Arabic Text Recognition**Mohammad Fasha, Bassam Hammo, Nadim Obeid, et al.*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/fasha-2020-hybrid-deep-learning-model-arabic/) 3. [**EPOP: A Benchmark Corpus for Assessing NLP Models on Structured Information Extraction in Plant Health**Claire Nedellec, Marine Courtin, Xinzhi Yao, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nedellec-2026-epop-benchmark-corpus-assessing-nlp/) 4. [**AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/) 5. [**JFC-Recipe: A Dataset for Nutrient Estimation from Japanese User-Generated Cooking Recipes**Keisuke Shirai, Yoko Yamakata, Hirotaka Kameko, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shirai-2026-jfc-recipe-dataset-nutrient-estimation/) 6. [**“Oat Milk Vegan Chocolate Taste Great!”: Monitoring the Food Transition Debate in Reddit**Greta Zella, Jan Willem Bolderdijk, Saskia Peels, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zella-2026-oat-milk-vegan-chocolate-taste/) Updated 24 October 2026 - [next shelf → Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)