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07/17/2023
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach
The concept of sustainable intensification in agriculture necessitates t...
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11/30/2022
Evaluating Digital Agriculture Recommendations with Causal Inference
In contrast to the rapid digitalization of several industries, agricultu...
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11/25/2022
Fuzzy clustering for the within-season estimation of cotton phenology
Crop phenology is crucial information for crop yield estimation and agri...
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11/09/2022
Towards Global Crop Maps with Transfer Learning
The continuous increase in global population and the impact of climate c...
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11/06/2022
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
In contrast to the rapid digitalization of several industries, agricultu...
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11/06/2022
Personalizing Sustainable Agriculture with Causal Machine Learning
To fight climate change and accommodate the increasing population, globa...
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05/16/2022
A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring
The modernization of the Common Agricultural Policy (CAP) requires the l...
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05/16/2022
Pest presence prediction using interpretable machine learning
Helicoverpa Armigera, or cotton bollworm, is a serious insect pest of co...
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05/16/2022
Towards Space-to-Ground Data Availability for Agriculture Monitoring
The recent advances in machine learning and the availability of free and...
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04/27/2022
