نتائج البحث

Estimation of dry‐matter intake in lambs via field‐based NIR proximal sensing.

• Authors : Starks, Patrick J.¹ ; Brown, Michael A.¹

• Source: Grass & Forage Science. Dec2018, Vol. 73 Issue 4, p841-851. 11p.

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Proximal sensing of the seasonal variability of pasture nutritive value using multispectral radiometry.

• Authors : Pullanagari, R. R.¹; Yule, I. J.¹; Tuohy, M. P.¹

• Source: Grass & Forage Science. Mar2013, Vol. 68 Issue 1, p110-119. 10p.

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Spatio-temporal dynamics of grape anthocyanin accumulation in a Tempranillo vineyard monitored by proximal sensing.

• Authors : BALUJA, J.¹; DIAGO, M.P.¹; GOOVAERTS, P.²

Subjects: *GRAPES; *ANTHOCYANINS; *SPATIO-temporal variation

• Source: Australian Journal of Grape & Wine Research. Jun2012, Vol. 18 Issue 2, p173-182. 10p.

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Deep learning to extract the meteorological by-catch of wildlife cameras

• Authors : Alison, Jamie; Payne, Stephanie; Alexander, Jake

Subjects: alpine ecology; automated monitoring; bees

• Source: Global Change Biology, 30 (1)

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Estimation of grain yield in wheat using source–sink datasets derived from RGB and thermal infrared imaging.

• Authors : Li, Rui^1,2 (AUTHOR); Wang, Dunliang^1,2 (AUTHOR); Zhu, Bo^1,2 (AUTHOR)

• Source: Food & Energy Security. Mar2023, Vol. 12 Issue 2, p1-28. 28p.

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Probabilistic Petrophysical Reconstruction of Danta's Alpine Peatland via Electromagnetic Induction Data.

• Authors : Zaru, N.¹ (AUTHOR); Silvestri, S.² (AUTHOR); Assiri, M.³ (AUTHOR)

• Source: Earth & Space Science. Mar2024, Vol. 11 Issue 3, p1-16. 16p.

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On‐the‐go hyperspectral imaging for the in‐field estimation of grape berry soluble solids and anthocyanin concentration.

• Authors : Gutiérrez, S.¹; Tardaguila, J.¹; Fernández‐Novales, J.¹

Subjects: *ANTHOCYANINS; *FRUIT composition; *HYPERSPECTRAL imaging systems

• Source: Australian Journal of Grape & Wine Research. Jan2019, Vol. 25 Issue 1, p127-133. 7p.

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Calibration of non-invasive fluorescence-based sensors for the manual and on-the-go assessment of grapevine vegetative status in the field.

• Authors : Diago, M.P.¹ ; Rey‐Carames, C.¹; Le Moigne, M.²

Subjects: *OPTICAL sensors; *VITIS vinifera; *FLAVONOLS

• Source: Australian Journal of Grape & Wine Research. Oct2016, Vol. 22 Issue 3, p438-449. 12p.

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Drone methodologies: Taking flight in human and physical geography.

• Authors : Garrett, Bradley¹ ; Anderson, Karen²

• Source: Transactions of the Institute of British Geographers. Sep2018, Vol. 43 Issue 3, p341-359. 19p.

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Ground-truthing of remotely sensed within-field variability in a cv. Barbera plot for improving vineyard management.

• Authors : Gatti, M.¹; Garavani, A.¹; Vercesi, A.¹

Subjects: *VINEYARDS; *GRAPE yields; *REMOTE-sensing images

• Source: Australian Journal of Grape & Wine Research. Oct2017, Vol. 23 Issue 3, p399-408. 10p.

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