Autor:
Jiménez, D.
Cock, James H.
Satizabal, HF
Barreto Sáenz, MA
Pérez Uribe, A.
Jarvis, Andy
Damme, Patrick van
The Andean blackberry (Rubus glaucus) is an important source of income in hillside regions of Colombia. However, growers have little reliable information on the factors that affect the development and yield of the crop, and therefore there is a dearth of information onhowto effectively manage the...
Enlace original:
https://cgspace.cgiar.org/handle/10568/43181
Jiménez, D.
,
Cock, James H.
,
Satizabal, HF
,
Barreto Sáenz, MA
,
Pérez Uribe, A.
,
Jarvis, Andy
,
Damme, Patrick van
,
[Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data]
,
Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data
