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Roberto Confalonieri

Showing results (11-20 of 20) with videos related to

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BMC Bioinformatics|October 24, 2019
Predicting rice blast disease: machine learning versus process-based modelsDavid F Nettleton, Dimitrios Katsantonis, Argyris Kalaitzidis, et al.
Sensors (Basel, Switzerland)|November 30, 2016
Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-AppFrancesca Orlando, Ermes Movedi, Davide Coduto, et al.
Journal of AOAC International|October 25, 2007
Analytical Method Performance Evaluation (AMPE)--a software tool for analytical method validationMarco Acutis, Patrizia Trevisiol, Roberto Confalonieri, et al.
Sensors (Basel, Switzerland)|March 3, 2019
Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy RiceLivia Paleari, Ermes Movedi, Fosco M Vesely, et al.
The Science of the Total Environment|January 29, 2024
A new digital technology to reduce fungicide use in vineyardsLivia Paleari, Ermes Movedi, Marco Foi, et al.
The Science of the Total Environment|February 6, 2020
May smart technologies reduce the environmental impact of nitrogen fertilization? A case study for paddy riceJacopo Bacenetti, Livia Paleari, Sofia Tartarini, et al.
Global Change Biology|January 19, 2022
A trait-based model ensemble approach to design rice plant types for future climateLivia Paleari, Tao Li, Yubin Yang, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|December 23, 2006
Multicenter study on hepatitis C virus-related cryoglobulinemic glomerulonephritisDario Roccatello, Alessandro Fornasieri, Osvaldo Giachino, et al.
Global Change Biology|October 9, 2014
Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditionsTao Li, Toshihiro Hasegawa, Xinyou Yin, et al.
Scientific Reports|November 3, 2017
Causes of variation among rice models in yield response to CO<sub>2</sub> examined with Free-Air CO<sub>2</sub> Enrichment and growth chamber experimentsToshihiro Hasegawa, Tao Li, Xinyou Yin, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
BMC Bioinformatics|October 24, 2019
Predicting rice blast disease: machine learning versus process-based modelsDavid F Nettleton, Dimitrios Katsantonis, Argyris Kalaitzidis, et al.
Sensors (Basel, Switzerland)|November 30, 2016
Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-AppFrancesca Orlando, Ermes Movedi, Davide Coduto, et al.
Journal of AOAC International|October 25, 2007
Analytical Method Performance Evaluation (AMPE)--a software tool for analytical method validationMarco Acutis, Patrizia Trevisiol, Roberto Confalonieri, et al.
Sensors (Basel, Switzerland)|March 3, 2019
Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy RiceLivia Paleari, Ermes Movedi, Fosco M Vesely, et al.
The Science of the Total Environment|January 29, 2024
A new digital technology to reduce fungicide use in vineyardsLivia Paleari, Ermes Movedi, Marco Foi, et al.
The Science of the Total Environment|February 6, 2020
May smart technologies reduce the environmental impact of nitrogen fertilization? A case study for paddy riceJacopo Bacenetti, Livia Paleari, Sofia Tartarini, et al.
Global Change Biology|January 19, 2022
A trait-based model ensemble approach to design rice plant types for future climateLivia Paleari, Tao Li, Yubin Yang, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|December 23, 2006
Multicenter study on hepatitis C virus-related cryoglobulinemic glomerulonephritisDario Roccatello, Alessandro Fornasieri, Osvaldo Giachino, et al.
Global Change Biology|October 9, 2014
Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditionsTao Li, Toshihiro Hasegawa, Xinyou Yin, et al.
Scientific Reports|November 3, 2017
Causes of variation among rice models in yield response to CO<sub>2</sub> examined with Free-Air CO<sub>2</sub> Enrichment and growth chamber experimentsToshihiro Hasegawa, Tao Li, Xinyou Yin, et al.
Pageof 2