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Using agrometeorological data to assist irrigation management in oil palm crops: A decision support method and results from crop model simulation

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  • Culman, María
  • de Farias, Claudio M.
  • Bayona, Cristihian
  • Cabrera Cruz, José Daniel

Abstract

In order to achieve optimum yields in oil palm, management practices should be tailored to the crop site agro-ecological conditions. Nevertheless, oil palm farmers often have to make decisions based on a limited knowledge base. Considering that water management is a critical aspect of oil palm crops, this paper describes an inference method for irrigation decision-making in oil palm supported on soil moisture and vapor pressure deficit data. Under an ideal scenario where this agrometeorological data is available through a Wireless Sensor Network (WSN) at a crop plot resolution, we formulated a method to prevent oil palm farmers to submit their crops to water deficit stress. The inference method was based on a Data Fusion technique called Dempster-Shafer Inference, which is convenient for the use of uncertain data with distinct levels of detail such as those present in a WSN. The outcome of fusing soil moisture and vapor pressure data was inferring the crop state, regarding soil and plant water status, following the concept of Site-specific Agriculture. To evaluate the impact of the method on crop yield, we carried out two simulations. The first one on a WSNs simulator, Castalia, to generate the irrigation decisions according to the site-specific agrometeorological data collected from the WSN. The second one on a crop simulation model, APSIM (Agricultural Production Systems Simulator), to simulate the oil palm plot at the study site under two treatments: plot with irrigation managed by the inference method and plot without irrigation. Results from oil palm crop simulation showed a 27% increase in the production of bunches of fresh fruit between 2016 and 2017 in the treatment with irrigation. The method has the potential for contributing to irrigation decision-support systems and for being useful in yield-intensification rather than crop-extension politics for oil palm and other crops.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:1047-1062
    DOI: 10.1016/j.agwat.2018.09.052
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    1. Uusitalo, V. & Väisänen, S. & Havukainen, J. & Havukainen, M. & Soukka, R. & Luoranen, M., 2014. "Carbon footprint of renewable diesel from palm oil, jatropha oil and rapeseed oil," Renewable Energy, Elsevier, vol. 69(C), pages 103-113.
    2. 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.
    3. 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.
    4. -, 2013. "Information and communication technologies for agricultural development in Latin America: trends, barriers and policies," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 35400, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Gutman, Graciela E. & Robert, Verónica, 2013. "ICTs and information management (IM) in commercial agriculture: contributions from an evolutionary approach," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 35439, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Bennett, Aoife & Ravikumar, Ashwin & Paltán, Homero, 2018. "The Political Ecology of Oil Palm Company-Community partnerships in the Peruvian Amazon: Deforestation consequences of the privatization of rural development," World Development, Elsevier, vol. 109(C), pages 29-41.
    7. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
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    2. Nuzhat Khan & Mohamad Anuar Kamaruddin & Usman Ullah Sheikh & Yusri Yusup & Muhammad Paend Bakht, 2021. "Oil Palm and Machine Learning: Reviewing One Decade of Ideas, Innovations, Applications, and Gaps," Agriculture, MDPI, vol. 11(9), pages 1-26, August.
    3. Akram, Humayoun & Levia, Delphis F. & Herrick, Jeffrey E. & Lydiasari, Henny & Schütze, Niels, 2022. "Water requirements for oil palm grown on marginal lands: A simulation approach," Agricultural Water Management, Elsevier, vol. 260(C).

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