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Managing complex datasets to predict Bactrocera oleae infestation at the regional scale.

, , , , and . Comput. Electron. Agric., (2020)

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Machine Learning for olive phenology prediction and base temperature optimisation., , , , , and . GIoTS, page 1-6. IEEE, (2020)Evaluation, Classification and Clustering with Neuro-Fuzzy Techniques in Integrate Pest Management., , , , and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 611-618. Springer, (2001)Predictive Classification for Integrated Pest Management by Clustering in NN Output Space., , , and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 595-602. Springer, (2001)Managing complex datasets to predict Bactrocera oleae infestation at the regional scale., , , , and . Comput. Electron. Agric., (2020)Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods., , , , , and . Remote. Sens., 13 (6): 1224 (2021)Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction., , , , , and . Sensors, 20 (21): 6381 (2020)Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture., , , , and . ESANN, page 403-408. (2001)Early prediction of winter cereals yield : A preliminary study based on machine learning technique as a strategic tool for fertilization and field management., , , , , , and . GIoTS, page 1-4. IEEE, (2020)Water Management: Agricolus tools integration., , , and . GIoTS, page 1-5. IEEE, (2019)