Davide Cammarano

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Assessing in-season crop nitrogen status based on UAV multispectral imaging and AI-driven model optimization.
Comput. Electron. Agric.
Yeying Zhou, Syed Tahir Ata-Ul-Karim, Jingru Yin, Marco Canicattì, Lili Tóth, Sheng Wang, Yuntao Ma, Caicong Wu, Mathias Neumann Andersen, Davide Cammarano
2026 J jnl
Unraveling the impact of environmental factors on wheat yield across the European Union via explainable machine learning.
Comput. Electron. Agric.
Wei Zhou, Wang Zhou, Davide Cammarano, Klaus Butterbach-Bahl, Jørgen E. Olesen, Zhixian Lin, Tianjin Huang, Gaochao Cai, Jingwen Zhang, Jianxiu Qiu, Sheng Wang
2025 J jnl
Integrating multi-angle and multi-scale remote sensing for precision nitrogen management in agriculture: A review.
Comput. Electron. Agric.
Yeying Zhou, Yuntao Ma, Syed Tahir Ata-Ul-Karim, Sheng Wang, Ignacio Ciampitti, Vita Antoniuk, Caicong Wu, Mathias Neumann Andersen, Davide Cammarano
2025 J jnl
Spatiotemporal variability of nitrogen nutrition index in potato fields: A UAV-based machine learning approach using a Bayesian critical nitrogen dilution curve.
Comput. Electron. Agric.
Marco Canicattì, Junxiang Peng, Ignacio Ciampitti, Mariangela Vallone, Davide Cammarano
2024 J jnl
Investigating data-driven approaches to optimize nitrogen recommendations for winter wheat.
Comput. Electron. Agric.
Guojie Ruan, Davide Cammarano, Syed Tahir Ata-UI-Karim, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao
2022 J jnl
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning.
Comput. Electron. Agric.
Guojie Ruan, Xinyu Li, Fei Yuan, Davide Cammarano, Syed Tahir Ata-UI-Karim, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao
2022 J jnl
Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches.
Remote. Sens.
Yahui Guo, Xuan Zhang, Shouzhi Chen, Hanxi Wang, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu
2022 J jnl
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images.
Remote. Sens.
Yahui Guo, Shouzhi Chen, Xinxi Li, Mario Cunha, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu
2021 J jnl
Modeling spatial and temporal optimal N fertilizer rates to reduce nitrate leaching while improving grain yield and quality in malting barley.
Comput. Electron. Agric.
Davide Cammarano, Bruno Basso, Jonathan Holland, Alberto Gianinetti, Marina Baronchelli, Domenico Ronga
2016 J jnl
Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops.
Environ. Model. Softw.
Gang Zhao, Holger Hoffmann, Jagadeesh B. Yeluripati, Xenia Specka, Claas Nendel, Elsa Coucheney, Matthias Kuhnert, Fulu Tao, Julie Constantin, Hélène Raynal, Edmar I. Teixeira, Balázs Grosz, Luca Doro, Ralf Kiese, Henrik Eckersten, Edwin Haas, Davide Cammarano, Belay Kassie, Marco Moriondo, Giacomo Trombi, Marco Bindi, Christian Biernath, Florian Heinlein, Christian Klein, Eckart Priesack, Elisabet Lewan, Kurt Christian Kersebaum, Reimund P. Rötter, Pier Paolo Roggero
2014 J jnl
Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments.
Remote. Sens.
Davide Cammarano, Glenn J. Fitzgerald, Raffaele Casa, Bruno Basso