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Crop management based on field observations: Case studies in sugarcane and coffee

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  • Cock, James
  • Oberthür, Thomas
  • Isaacs, Camilo
  • Läderach, Peter Roman
  • Palma, Alberto
  • Carbonell, Javier
  • Victoria, Jorge
  • Watts, Geoff
  • Amaya, Alvaro
  • Collet, Laure
  • Lema, Germán
  • Anderson, Einar

Abstract

For millennia farmers have continually improved their crop management and production practices through their observations and experience. More recently modern science and research methods based on controlled experiments became the most visible instrument of technological change in agriculture, nevertheless farmers continued to develop and implement new technologies based on their own observations made under commercial conditions. Modern information technology and social organization of producers make it possible to use operational research, which is based on the observation and analysis of operations so as to improve them, to manage crops better. The article describes two cases, coffee and sugarcane, in which observation of the results obtained by farmers, with the natural variation in the environment and the distinct management practices they apply can be used to determine site specific crop management practices. The basis of the methodology is to (a) obtain data from a series of cropping events that characterizes the conditions under which each crop is grown, how it is managed and how it performs under commercial conditions (data capture), (b) to manage and analyze the data in centralized databases (data management and analysis) and (c) make the information derived from the data analysis available to growers so that they can use it to make better informed decisions (interpretation). All aspects of the methodology depend on the social organization of the growers and the supply chain of which they form a part, and hence social organization is an integral part of the methodology.

Suggested Citation

  • Cock, James & Oberthür, Thomas & Isaacs, Camilo & Läderach, Peter Roman & Palma, Alberto & Carbonell, Javier & Victoria, Jorge & Watts, Geoff & Amaya, Alvaro & Collet, Laure & Lema, Germán & Anderson,, 2011. "Crop management based on field observations: Case studies in sugarcane and coffee," Agricultural Systems, Elsevier, vol. 104(9), pages 755-769.
  • Handle: RePEc:eee:agisys:v:104:y:2011:i:9:p:755-769
    DOI: 10.1016/j.agsy.2011.07.001
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    References listed on IDEAS

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    1. Cock, J. & Kam, S.P. & Cook, S. & Donough, C. & Lim, Y.L. & Jines-Leon, A. & Lim, C.H. & Primananda, S. & Yen, B.T. & Mohanaraj, S.N. & Samosir, Y.M.S. & Oberthür, T., 2016. "Learning from commercial crop performance: Oil palm yield response to management under well-defined growing conditions," Agricultural Systems, Elsevier, vol. 149(C), pages 99-111.
    2. Agus, Fahmuddin & Tenorio, Fatima A. & Saleh, Shofia & Purwantomo, Dwi Kuntjoro G. & Yustika, Rahmah D. & Marwanto, Setiari & Suratman, & Sidhu, Manjit Singh & Cock, James & Kam, Suan Pheng & Fairhurs, 2024. "Guiding oil palm intensification through a spatial extrapolation domain framework," Agricultural Systems, Elsevier, vol. 213(C).
    3. Culman, María & de Farias, Claudio M. & Bayona, Cristihian & Cabrera Cruz, José Daniel, 2019. "Using agrometeorological data to assist irrigation management in oil palm crops: A decision support method and results from crop model simulation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1047-1062.

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