Davide Cammarano

According to our database, Davide Cammarano authored at least 12 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unraveling the impact of environmental factors on wheat yield across the European Union via explainable machine learning.

Wei Zhou, Wang Zhou, Davide Cammarano, Klaus Butterbach-Bahl, Jørgen E. Olesen, Zhixian Lin, Tianjin Huang, Gaochao Cai, Jingwen Zhang, Jianxiu Qiu, Sheng Wang

Comput. Electron. Agric., 2026

Assessing in-season crop nitrogen status based on UAV multispectral imaging and AI-driven model optimization.

Yeying Zhou, Syed Tahir Ata-Ul-Karim, Jingru Yin, Marco Canicattì, Lili Tóth, Sheng Wang, Yuntao Ma, Caicong Wu, Mathias Neumann Andersen, Davide Cammarano

Comput. Electron. Agric., 2026

An intelligent data-driven framework for optimizing wheat management toward high yields with reduced nitrogen inputs.

Ziyang Liu, Davide Cammarano, Kang Yu, Wei Li, Yue Li, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao

Comput. Electron. Agric., 2026

2025

Integrating multi-angle and multi-scale remote sensing for precision nitrogen management in agriculture: A review.

Yeying Zhou, Yuntao Ma, Syed Tahir Ata-Ul-Karim, Sheng Wang, Ignacio Ciampitti, Vita Antoniuk, Caicong Wu, Mathias Neumann Andersen, Davide Cammarano

Comput. Electron. Agric., 2025

Spatiotemporal variability of nitrogen nutrition index in potato fields: A UAV-based machine learning approach using a Bayesian critical nitrogen dilution curve.

Marco Canicattì, Junxiang Peng, Ignacio Ciampitti, Mariangela Vallone, Davide Cammarano

Comput. Electron. Agric., 2025

2024

Investigating data-driven approaches to optimize nitrogen recommendations for winter wheat.

Guojie Ruan, Davide Cammarano, Syed Tahir Ata-UI-Karim, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao

Comput. Electron. Agric., 2024

2022

Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches.

Yahui Guo, Xuan Zhang, Shouzhi Chen, Hanxi Wang, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu

Remote. Sens., December, 2022

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images.

Yahui Guo, Shouzhi Chen, Xinxi Li, Mario Cunha, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu

Remote. Sens., 2022

Improving wheat yield prediction integrating proximal sensing and weather data with machine learning.

Guojie Ruan, Xinyu Li, Fei Yuan, Davide Cammarano, Syed Tahir Ata-UI-Karim, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao

Comput. Electron. Agric., 2022

2021

Modeling spatial and temporal optimal N fertilizer rates to reduce nitrate leaching while improving grain yield and quality in malting barley.

Davide Cammarano, Bruno Basso, Jonathan Holland, Alberto Gianinetti, Marina Baronchelli, Domenico Ronga

Comput. Electron. Agric., 2021

2016

Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops.

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

Environ. Model. Softw., 2016

2014

Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments.

Davide Cammarano, Glenn J. Fitzgerald, Raffaele Casa, Bruno Basso

Remote. Sens., 2014