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A new method to determine soil organic carbon equilibrium.

, , and . Environ. Model. Softw., 26 (12): 1759-1763 (2011)

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Fuzzy k-NN Based Classifiers for Time Series with Soft Labels., , , and . IPMU (3), volume 1239 of Communications in Computer and Information Science, page 578-589. Springer, (2020)Calcul intensif pour l'évaluation de la vulnérabilité en utilisant une approche d'Ingénierie Dirigée par les Modèles: application à la vulnérabilité des prairies au changement climatique sous contraintes de plans d'expériences. (Intensive calculation for vulnerability assessment using a Model Driven Engineering approach: application to prairie vulnerability to climate change under experimental design constraints).. Blaise Pascal University, Clermont-Ferrand, France, (2013)Vuln-Indices: Software to assess vulnerability to climate change., , and . Comput. Electron. Agric., (2015)Machine learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis., , , , , , and . Comput. Electron. Agric., (2020)A new method to determine soil organic carbon equilibrium., , and . Environ. Model. Softw., 26 (12): 1759-1763 (2011)Discriminating pathological, reproductive or stress conditions in cows using machine learning on sensor-based activity data., , and . Comput. Electron. Agric., (2023)Regional-scale analysis of carbon and water cycles on managed grassland systems., , , , , , and . Environ. Model. Softw., (2015)Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows., , , , , and . ISMIS, volume 12117 of Lecture Notes in Computer Science, page 342-351. Springer, (2020)Comparaison de méthodes d'apprentissage automatique pour détecter les anomalies dans l'activité des animaux., , , , , and . EGC, volume E-37 of RNTI, page 521-522. Éditions RNTI, (2021)