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Poster communications

Potential for using low-cost spectral sensors to predict yield in small-scale rice fields in northwest Cambodia

Abstract : Smart technology is playing a vital role in making crop management decisions (Awan et al., 2018). However, advanced high throughput technologies may be a significant adoption challenge for small-scale rice growers in Cambodia due to cost and accessibility. Hence, developing algorithm to predict yield in-season using cost-effective technologies is a better intervention to support Cambodian rice growers. GreenSeeker-NDVI and Canopeo are potentially emerging affordable tools that can produce a working algorithm to support small-scale rice growers. Thus, we hypothesized that low-cost sensors can predict yield in small-sale rice fields. Therefore, the objective of the study is to calibrate a working algorithm for predicting yield in small-scale rice fields in northwest Cambodia.
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https://hal.inria.fr/hal-02950269
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Submitted on : Sunday, September 27, 2020 - 5:30:38 PM
Last modification on : Tuesday, September 29, 2020 - 3:04:16 AM

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  • HAL Id : hal-02950269, version 1

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Onwuchekwa-Henry Chinaza, Floris van Ogtrop, Robert Martin, Daniel Tan. Potential for using low-cost spectral sensors to predict yield in small-scale rice fields in northwest Cambodia. ICROPM2020: Second International Crop Modelling Symposium , Feb 2020, Montpellier, France. ⟨hal-02950269⟩

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