Poni S - Search Results

1

A new digital technology to reduce fungicide use in vineyards.

Paleari L, Movedi E, Foi M, Pilatti A, Vesely FM, Rusconi C, Brancadoro L, Poni S, Bacenetti J, Confalonieri R. Paleari L, et al. Among authors: poni s. Sci Total Environ. 2024 Mar 20;917:170470. doi: 10.1016/j.scitotenv.2024.170470. Epub 2024 Jan 28. Sci Total Environ. 2024. PMID: 38286281

2

Model-assisted analysis for tuning anthocyanin composition in grape berries.

Wang Y, Shang B, Génard M, Hilbert-Masson G, Delrot S, Gomès E, Poni S, Keller M, Renaud C, Kong J, Chen J, Liang Z, Dai Z. Wang Y, et al. Among authors: poni s. Ann Bot. 2023 Nov 30;132(5):1033-1050. doi: 10.1093/aob/mcad165. Ann Bot. 2023. PMID: 37850481 Free PMC article.

3

A sensorless, Big Data based approach for phenology and meteorological drought forecasting in vineyards.

Canavera G, Magnanini E, Lanzillotta S, Malchiodi C, Cunial L, Poni S. Canavera G, et al. Among authors: poni s. Sci Rep. 2023 Oct 5;13(1):16818. doi: 10.1038/s41598-023-44019-4. Sci Rep. 2023. PMID: 37798342 Free PMC article.

4

Summer pruning in Mediterranean vineyards: is climate change affecting its perception, modalities, and effects?

Poni S, Frioni T, Gatti M. Poni S, et al. Front Plant Sci. 2023 Jul 11;14:1227628. doi: 10.3389/fpls.2023.1227628. eCollection 2023. Front Plant Sci. 2023. PMID: 37528986 Free PMC article. Review.

5

Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines.

Guadagna P, Fernandes M, Chen F, Santamaria A, Teng T, Frioni T, Caldwell DG, Poni S, Semini C, Gatti M. Guadagna P, et al. Among authors: poni s. Precis Agric. 2023 Mar 22:1-23. doi: 10.1007/s11119-023-10006-y. Online ahead of print. Precis Agric. 2023. PMID: 37363791 Free PMC article.

6

A comparative study of fifteen cover crop species for orchard soil management: water uptake, root density traits and soil aggregate stability.

Capri C, Gatti M, Fiorini A, Ardenti F, Tabaglio V, Poni S. Capri C, et al. Among authors: poni s. Sci Rep. 2023 Jan 13;13(1):721. doi: 10.1038/s41598-023-27915-7. Sci Rep. 2023. PMID: 36639732 Free PMC article.

7

UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications.

Sousa JJ, Toscano P, Matese A, Di Gennaro SF, Berton A, Gatti M, Poni S, Pádua L, Hruška J, Morais R, Peres E. Sousa JJ, et al. Among authors: poni s. Sensors (Basel). 2022 Aug 31;22(17):6574. doi: 10.3390/s22176574. Sensors (Basel). 2022. PMID: 36081033 Free PMC article.

8

Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery.

Matese A, Di Gennaro SF, Orlandi G, Gatti M, Poni S. Matese A, et al. Among authors: poni s. Front Plant Sci. 2022 Jun 2;13:898722. doi: 10.3389/fpls.2022.898722. eCollection 2022. Front Plant Sci. 2022. PMID: 35769294 Free PMC article.

9

The Decrease of Leaf Dark Respiration during Water Stress Is Related to Leaf Non-Structural Carbohydrate Pool in Vitis vinifera L.

Tombesi S, Frioni T, Grisafi F, Sabbatini P, Poni S, Palliotti A. Tombesi S, et al. Among authors: poni s. Plants (Basel). 2021 Dec 23;11(1):36. doi: 10.3390/plants11010036. Plants (Basel). 2021. PMID: 35009039 Free PMC article.

10

Gas exchange, vine performance and modulation of secondary metabolism in Vitis vinifera L. cv Barbera following long-term nitrogen deficit.

Squeri C, Miras-Moreno B, Gatti M, Garavani A, Poni S, Lucini L, Trevisan M. Squeri C, et al. Among authors: poni s. Planta. 2021 Feb 22;253(3):73. doi: 10.1007/s00425-021-03590-8. Planta. 2021. PMID: 33615406 Free PMC article.

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