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Whether or not reservoirs contain water throughout the dry season is critical to avoiding late season crop failure in seasonally-arid agricultural landscapes. Locations, volumes, and temporal dynamics, particularly of small (<1 Mm3) reservoirs are poorly documented globally, thus making it diffic...


Jones, S.K.Fremier, Alexander K.DeClerck, Fabrice A.J.Smedley, D.Ortega Pieck, A.Mulligan, M.[Big data and multiple methods for mapping small reservoirs: comparing accuracies for applications in agricultural landscapes]Big data and multiple methods for mapping small reservoirs: comparing accuracies for applications in agricultural landscapes
Turner, Heather L.van Etten, JacobFirth, DavidKosmidis, Ioannis[Modelling rankings in R: the PlackettLuce package]Modelling rankings in R: the PlackettLuce package

Wamwere-Njoroge, George J.Long’or, BensonKihara, AbsolomonBett, Bernard K.[Mobile phone-based syndromic surveillance system for early detection and control of livestock diseases]Mobile phone-based syndromic surveillance system for early detection and control of livestock diseases

GeoFarmer is an app designed to support experience exchanges between farmers – be they positive or negative – so that they can learn from each other by asking questions and by sharing suggestions on how their crop, animal and farm management can be improved. Project implementers can also use it t...


Eitzinger, AntonBartling, MonaFeil, ChristianBonilla-Findji, OsanaAndrieu, NadineJarvis, Andy[GeoFarmer App: A tool to complement extension services and foster active farmers participation and knowledge exchange]GeoFarmer App: A tool to complement extension services and foster active farmers participation and knowledge exchange

CGIAR Platform for Big Data in Agriculture[BIG DATA Crop Modeling Community of Practice – Work Plan 2020]BIG DATA Crop Modeling Community of Practice – Work Plan 2020

CGIAR Platform for Big Data in Agriculture[BIG DATA Ontologies Community of Practice – Work Plan 2020]BIG DATA Ontologies Community of Practice – Work Plan 2020

This article provides a description of an agricultural household survey data of rice growers collected in Ecuador between October 2014 and March 2015. The household survey was implemented using a structured questionnaire administered among 1,028 households in the main rice production areas of Ecu...


Marin Salazar, Diego ArmandoOrrego-Varón, MayraYanez, FernandoMendoza, LuisGarcía, María AlejandraTwyman, JenniferAndrade, RobertLabarta, Ricardo[Household survey data of adoption of improved varieties and management practices in rice production, Ecuador.]Household survey data of adoption of improved varieties and management practices in rice production, Ecuador.

Abera, WuletawuTamene, LulsegedAmede, TilahunTadesse, MeronSeid, J.Tibebe, D.Kihara, JobErkossa, Teklu[Big Data analytics to transform agriculture: Experience and progress]Big Data analytics to transform agriculture: Experience and progress

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