5 citations · 10 across the 6 of their papers we have counts for
8 papers
NeurEO: dissecting Earth observation embeddings with computational neuroscience
Thijs L van der Plas, Jacob JW Bakermans, Ioannis N Athanasiadis
Earth embeddings are compressed representations of rich Earth observation data that enable downstream models to tackle a wide range of complex geospatial tasks. Yet, this increase…
Can Generative AI Automate Data Extraction for Meta-Analysis? A Case Study on Intercropping Research
Zehao Lu, Xingguo Xiong, Wopke van der Werf +2
Meta-analysis is the synthesis of information from multiple sources to arrive at an overarching conclusion. There is a large need for meta-analysis in agricultural research to synt…
Foundation Models Meet Agriculture: Challenges Beyond Pretraining
Vishal Nedungadi, Xingguo Xiong, Marc Rußwurm +1
Global food security and sustainable climate action increasingly rely on robust, scalable agricultural monitoring. Earth observation foundation models have emerged as powerful, lab…
From General to Specialized: The Need for Foundational Models in Agriculture
Vishal Nedungadi, Xingguo Xiong, Aike Potze +4
Food security remains a global concern as population grows and climate change intensifies, demanding innovative solutions for sustainable agricultural productivity. Recent advances…
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment
Vishal Nedungadi, Muhammad Akhtar Munir, Marc Rußwurm +5
Air pollution remains a leading global health risk, exacerbated by rapid industrialization and urbanization, contributing significantly to morbidity and mortality rates. In this pa…
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
Hilmy Baja, Michiel Kallenberg, Ioannis N. Athanasiadis
Farmers rely on in-field observations to make well-informed crop management decisions to maximize profit and minimize adverse environmental impact. However, obtaining real-world cr…
Fully automatic extraction of morphological traits from the Web: utopia or reality?
Diego Marcos, Robert van de Vlasakker, Ioannis N. Athanasiadis +7
Plant morphological traits, their observable characteristics, are fundamental to understand the role played by each species within their ecosystem. However, compiling trait informa…
Breeding Programs Optimization with Reinforcement Learning
Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis +3
Crop breeding is crucial in improving agricultural productivity while potentially decreasing land usage, greenhouse gas emissions, and water consumption. However, breeding programs…