IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v213y2019icp1047-1062.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418307340
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2018.09.052?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. -, 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).
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Ruoyu Xiong & Huan Peng & Xi Chen & Chenyang Shuai, 2024. "Machine learning-enhanced evaluation of food security across 169 economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26971-27000, October.
    3. Brum, Mauro & Oliveira, Rafael S. & López, Jose Gutiérrez & Licata, Julian & Pypker, Thomas & Chia, Gilson Sanchez & Tinôco, Ricardo Salles & Asbjornsen, Heidi, 2021. "Effects of irrigation on oil palm transpiration during ENSO-induced drought in the Brazilian Eastern Amazon," Agricultural Water Management, Elsevier, vol. 245(C).
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Liao, Chuan & Jung, Suhyun & Brown, Daniel G. & Agrawal, Arun, 2024. "Does land tenure change accelerate deforestation? A matching-based four-country comparison," Ecological Economics, Elsevier, vol. 215(C).
    3. Jeetendra Prakash Aryal & Cathy R. Farnworth & Ritika Khurana & Srabashi Ray & Tek B. Sapkota & Dil Bahadur Rahut, 2020. "Does women’s participation in agricultural technology adoption decisions affect the adoption of climate‐smart agriculture? Insights from Indo‐Gangetic Plains of India," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 973-990, August.
    4. Islam, Zeenatul & Sabiha, Noor E & Salim, Ruhul, 2022. "Integrated environment-smart agricultural practices: A strategy towards climate-resilient agriculture," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 59-72.
    5. Nelson Mango & Clifton Makate & Lulseged Tamene & Powell Mponela & Gift Ndengu, 2018. "Adoption of Small-Scale Irrigation Farming as a Climate-Smart Agriculture Practice and Its Influence on Household Income in the Chinyanja Triangle, Southern Africa," Land, MDPI, vol. 7(2), pages 1-19, April.
    6. Kibria, Abu SMG & Costanza, Robert & Soto, José R, 2022. "Modeling the complex associations of human wellbeing dimensions in a coupled human-natural system: In contexts of marginalized communities," Ecological Modelling, Elsevier, vol. 466(C).
    7. Maren Radeny & Elizaphan J. O. Rao & Maurice Juma Ogada & John W. Recha & Dawit Solomon, 2022. "Impacts of climate-smart crop varieties and livestock breeds on the food security of smallholder farmers in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1511-1535, December.
    8. Ignaciuk, Ada & Malevolti, Giulia & Scognamillo, Antonio & Sitko, Nicholas J., 2022. "Can food aid relax farmers’ constraints to adopting climate-adaptive agricultural practices? Evidence from Ethiopia, Malawi and the United Republic of Tanzania," ESA Working Papers 324073, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    9. Iban, Muzaffer Can & Aksu, Oktay, 2020. "A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach," Land Use Policy, Elsevier, vol. 91(C).
    10. Scognamillo, Antonio & Sitko, Nicholas J., 2021. "Leveraging social protection to advance climate-smart agriculture: An empirical analysis of the impacts of Malawi’s Social Action Fund (MASAF) on farmers’ adoption decisions and welfare outcomes," World Development, Elsevier, vol. 146(C).
    11. Dongrui Han & Hongyan Cai & Xiaohuan Yang & Xinliang Xu, 2020. "Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    12. Ziqiang Li & Hepei Zhang & Xiaoxiao Song & Weijiao Ye, 2024. "Social responsibility awareness and adoption of climate-smart agricultural practices: evidence from food-based family farms in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(5), pages 1-20, June.
    13. Helena Shilomboleni, 2020. "Political economy challenges for climate smart agriculture in Africa," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(4), pages 1195-1206, December.
    14. Sohail Abbas & Zulfiqar Ali Mayo, 2021. "Impact of temperature and rainfall on rice production in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1706-1728, February.
    15. Barooah, Prapti & Alvi, Muzna & Ringler, Claudia & Pathak, Vishal, 2023. "Gender, agriculture policies, and climate-smart agriculture in India," Agricultural Systems, Elsevier, vol. 212(C).
    16. Córdoba, Diana & Juen, Leandro & Selfa, Theresa & Peredo, Ana Maria & Montag, Luciano Fogaça de Assis & Sombra, Daniel & Santos, Marcos Persio Dantas, 2019. "Understanding local perceptions of the impacts of large-scale oil palm plantations on ecosystem services in the Brazilian Amazon," Forest Policy and Economics, Elsevier, vol. 109(C).
    17. Paswel P. Marenya & Menale Kassie & Moti Jaleta & Dil Bahadur Rahut & Olaf Erenstein, 2017. "Predicting minimum tillage adoption among smallholder farmers using micro-level and policy variables," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-22, December.
    18. Sain, Gustavo & Loboguerrero, Ana María & Corner-Dolloff, Caitlin & Lizarazo, Miguel & Nowak, Andreea & Martínez-Barón, Deissy & Andrieu, Nadine, 2017. "Costs and benefits of climate-smart agriculture: The case of the Dry Corridor in Guatemala," Agricultural Systems, Elsevier, vol. 151(C), pages 163-173.
    19. repec:ags:aaea22:335506 is not listed on IDEAS
    20. Archer, Sophie A. & Murphy, Richard J. & Steinberger-Wilckens, Robert, 2018. "Methodological analysis of palm oil biodiesel life cycle studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 694-704.
    21. Samson P. Katengeza & Stein T. Holden & Rodney W. Lunduka, 2019. "Adoption of Drought Tolerant Maize Varieties under Rainfall Stress in Malawi," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(1), pages 198-214, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:1047-1062. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.