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In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice cro...


Rojas, Juan P.Devia, Carlos A.Petro, ElielMartínez, CarolMondragon, Ivan F.Patino, D.Rebolledo, María CamilaColorado, J.[Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring]Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

There is a 95% chance that warming will exceed 2°C by the end of the century (Raftery et al. 2017). Global crop productivity is projected to fall by 5-10 % per degree of warming (Challinor et al. 2014), with even greater losses likely for some crops in some areas. The challenge of meeting future ...


Balié, JeanCramer, LauraFriedmann, MichaelGotor, ElisabettaJones, Christopher S.Kozicka, MartaKruseman, Gideon K.Notenbaert, An Maria OmerPlace, FrankRebolledo, María CamilaThornton, Philip K.Wiebe, Keith[Exploring opportunities around climate-smart breeding for future food and nutrition security]Exploring opportunities around climate-smart breeding for future food and nutrition security

Seasonal and inter-annual climate variability have become important issues for farmers, and climate change has been shown to increase them. Simultaneously farmers and agricultural organizations are increasingly collecting observational data about in situ crop performance. Agriculture thus needs n...


Delerce, Sylvain JeanDorado, Hugo AndresGrillon, AlexandreRebolledo, María CamilaPrager, Steven D.Patiño, Victor HugoGarcés Varón, GabrielJiménez, Daniel[Assessing weather-yield relationships in rice at local scale using data mining approaches]Assessing weather-yield relationships in rice at local scale using data mining approaches

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