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Journal Article 2019-10-30

Autor: Oto, L. de Vrieling, A. Fava, Francesco P. Bie, K. de
Enlace original: https://cgspace.cgiar.org/handle/10568/106553

Investigación en Agricultura
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Oto, L. de ,  Vrieling, A. ,  Fava, Francesco P. ,  Bie, K. de ,  [Exploring improvements to the design of an operational seasonal forage scarcity index from NDVI time series for livestock insurance in East Africa] ,  Exploring improvements to the design of an operational seasonal forage scarcity index from NDVI time series for livestock insurance in East Africa
Presentation 2018-10-03

Autor: Fava, Francesco P. Jensen, Nathaniel D. Oto, Lucas de Mude, Andrew G.

To support improved rangeland resource management and monitoring for nomadic pastoralists in northern Kenya, we used a task-based mobile application to incentivize pastoralists provide more than 100,000 surveys containing information on local rangeland, water and livestock resources. In this cont...

Enlace original: https://cgspace.cgiar.org/handle/10568/97610

Investigación en Agricultura
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Fava, Francesco P. ,  Jensen, Nathaniel D. ,  Oto, Lucas de ,  Mude, Andrew G. ,  [Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands] ,  Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands
Book Chapter 2018-12

Autor: Stroppiana, D. Fava, Francesco P. Boschetti, M. Brivio, P.A.

In this chapter, we review the use of hyperspectral data for the assessment of nitrogen content in herbaceous plants (crops and pastures) by illustrating the major datasets and methods employed for this purpose. In the introduction and state of the art sections, general background is provided tog...

Enlace original: https://cgspace.cgiar.org/handle/10568/107353

Investigación en Agricultura
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Stroppiana, D. ,  Fava, Francesco P. ,  Boschetti, M. ,  Brivio, P.A. ,  [Estimation of nitrogen content in herbaceous plants using hyperspectral vegetation indices] ,  Estimation of nitrogen content in herbaceous plants using hyperspectral vegetation indices
Poster 2019-12-09

Autor: Fava, Francesco P. Jensen, Nathaniel D.
Enlace original: https://cgspace.cgiar.org/handle/10568/107356

Investigación en Agricultura
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Fava, Francesco P. ,  Jensen, Nathaniel D. ,  [Lesson learnt from the implementation of Index-Insurance for livestock in the African drylands: Toward early response and regional scaling] ,  Lesson learnt from the implementation of Index-Insurance for livestock in the African drylands: Toward early response and regional scaling
Journal Article 2019-03-13

Autor: Sakowska, K. MacArthur, A. Gianelle, D. Dalponte, M. Alberti, G. Gioli, B. Miglietta, F. Pitacco, A. Meggio, F. Fava, Francesco P. Julitta, T. Rossini, M. Rocchini, D. Vescovo, L.
Enlace original: https://cgspace.cgiar.org/handle/10568/107354

Investigación en Agricultura
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Sakowska, K. ,  MacArthur, A. ,  Gianelle, D. ,  Dalponte, M. ,  Alberti, G. ,  Gioli, B. ,  Miglietta, F. ,  Pitacco, A. ,  Meggio, F. ,  Fava, Francesco P. ,  Julitta, T. ,  Rossini, M. ,  Rocchini, D. ,  Vescovo, L. ,  [Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps] ,  Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
Report 2019-12-30

Autor: Sircely, Jason A. Fava, Francesco P. Oloo, Stephen O.
Enlace original: https://cgspace.cgiar.org/handle/10568/106542

Investigación en Agricultura
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Sircely, Jason A. ,  Fava, Francesco P. ,  Oloo, Stephen O. ,  [Remote detection of community-based rangeland management (CBRM)] ,  Remote detection of community-based rangeland management (CBRM)
Presentation 2017-03-14

Autor: Fava, Francesco P.
Enlace original: https://cgspace.cgiar.org/handle/10568/80373

Investigación en Agricultura
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Fava, Francesco P. ,  [Earth observation applications in Index-based Livestock Insurance (IBLI): Challenges and opportunities] ,  Earth observation applications in Index-based Livestock Insurance (IBLI): Challenges and opportunities

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