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Found 5 papers, 2 papers with code
Causality and Explainability for Trustworthy Integrated Pest Management
Pesticides serve as a common tool in agricultural pest control but significantly contribute to the climate crisis.
Evaluating Digital Agriculture Recommendations with Causal Inference
To this end, we propose an observational causal inference framework for the empirical evaluation of the impact of digital tools on target farm performance indicators (e. g., yield in this case).
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
To this end, we propose an observational causal inference framework for the empirical evaluation of the impact of digital tools on target farm performance indicators.
DKM: Dense Kernelized Feature Matching for Geometry Estimation
This changes with our novel dense method, which outperforms both dense and sparse methods on geometry estimation.
A Framework of Transfer Learning in Object Detection for Embedded Systems
Transfer learning is one of the subjects undergoing intense study in the area of machine learning.
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