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Journal Article 2019-09-10

A scalable scheme to implement data-driven agriculture for small-scale farmers

Autor: Jiménez, Daniel Delerce, Sylvain Dorado, Hugo Andres Cock, James Muñoz, Luis Armando Agamez, Alejandro Jarvis, Andy

The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through t...

Enlace original: https://cgspace.cgiar.org/handle/10568/103626

Investigación en Agricultura

AGRICULTURE

DATA

MACHINE LEARNING

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Jiménez, Daniel , Delerce, Sylvain , Dorado, Hugo Andres , Cock, James , Muñoz, Luis Armando , Agamez, Alejandro , Jarvis, Andy , [A scalable scheme to implement data-driven agriculture for small-scale farmers] , A scalable scheme to implement data-driven agriculture for small-scale farmers

Journal Article 2016-03-01

From observation to information: data-driven understanding of on farm yield variation

Autor: Jiménez, Daniel Dorado, Hugo Andres Cock, James H. Prager, Steven D. Delerce, Sylvain Jean Grillon, Alexandre Andrade Bejarano, Mercedes Benavides, Hector Jarvis, Andy

Agriculture research uses “recommendation domains” to develop and transfer crop management practices adapted to specific contexts. The scale of recommendation domains is large when compared to individual production sites and often encompasses less environmental variation than farmers manage. Farm...

Enlace original: https://cgspace.cgiar.org/handle/10568/72485

Investigación en Agricultura

FARMS

PLANTING

INTERCROPPING

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Jiménez, Daniel , Dorado, Hugo Andres , Cock, James H. , Prager, Steven D. , Delerce, Sylvain Jean , Grillon, Alexandre , Andrade Bejarano, Mercedes , Benavides, Hector , Jarvis, Andy , [From observation to information: data-driven understanding of on farm yield variation] , From observation to information: data-driven understanding of on farm yield variation

Journal Article 2016-08-25

Assessing weather-yield relationships in rice at local scale using data mining approaches

Autor: Delerce, Sylvain Jean Dorado, Hugo Andres Grillon, Alexandre Rebolledo, María Camila Prager, Steven D. Patiño, Victor Hugo Garcés Varón, Gabriel Jiménez, Daniel

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/76628

Investigación en Agricultura

RICE

FARMS

CLIMATE CHANGE

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Delerce, Sylvain Jean , Dorado, Hugo Andres , Grillon, Alexandre , Rebolledo, María Camila , Prager, Steven D. , Patiño, Victor Hugo , Garcés Varón, Gabriel , Jiménez, 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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A scalable scheme to implement data-driven agriculture for small-scale farmers

From observation to information: data-driven understanding of on farm yield variation

Assessing weather-yield relationships in rice at local scale using data mining approaches