Ultrasonic Wave Propagation for Smart Agriculture: an Arabica Coffee Case of Study

Collazos-Burbano, David; Ealo, Joao L.; Villagrán-Munı́z, M.

doi:10.1109/laus53676.2021.9639172

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Almost all of the filtered articles discussed the detection of diseases or the health level of coffee plants through their leaves [9,10,35,41,[45][46][47][48]50,53,54]. The rest detected insect pests based on sound [32] and detected tissue characteristics using ultrasonic waves [11]. Detection of coffee disease through the leaves is done by combining image processing with ML or DL.…”

Section: Iot Smart Farming Technology Solution For Coffee Farmingmentioning

confidence: 99%

The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review

Mulyono

Apnitami

Wangi

et al. 2022

Green Intell. Syst. Appl.

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As one of Indonesia’s main export agricultural commodities, coffee farming faces many obstacles, ranging from plant pest organisms to climate and environmental problems. These problems can be solved using smart farming technology. However, smart farming technology has not been applied intensively in Indonesia. This paper aims to analyze the potential for implementing smart farming for coffee in Indonesia. This article presents a systematic review of the information about the potential application of IoT smart farming for coffee farming in Indonesia by applying the PSALSAR (Protocol, Search, Appraisal, Synthesis, Analysis, Report) review method. This study concludes the list of smart farming technologies for coffee that have the potential to be applied in Indonesia. Those technologies are classified based on their application scope: quality control (including subtopics like coffee quality control), climate monitoring, the anticipation of pest organisms, and coffee processing), coffee production planning, and coffee waste utilization. Regarding infrastructure readiness and the need for smart farming technology for coffee, the island of Java has the most potential for implementing smart farming for coffee as soon as possible. The high potential for application in Java is because the telecommunications technology infrastructure is ready, and the land area and coffee production are large.

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Section: Iot Smart Farming Technology Solution For Coffee Farmingmentioning

confidence: 99%

The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review

Mulyono

Apnitami

Wangi

et al. 2022

Green Intell. Syst. Appl.

View full text Add to dashboard Cite

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Non-contact detection of hidden damages in dispersive media using the instantaneous phase

Collazos-Burbano,

Ealo,

Orrego-Gonzalez

2023

J Braz. Soc. Mech. Sci. Eng.

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The assessment of dispersive media may become a challenge due to the high attenuation ratios, anisotropy and geometrical particularities of the specimen under study. Besides, non-contact methods that preserve the integrity of samples are needed when some degree of purity is required, e.g., when water immersion is not allowed, and the direct contact is not feasible. In this work, we study composite plates, in which acoustic dispersion is present. We use a non-contact hybrid optoacoustic system to implement the experimental setup that makes it possible the detection of the non-exposed damages of the samples. Different relevant aspects, such as cost, maximum frequency achieved, bandwidth, sensitivity, signal-to-noise ratio and spatial resolution were considered before setting the experimental configuration. Though dispersion curves are reconstructed, we emphasize the use of the instantaneous information of signals to detect the faults. Moreover, the instantaneous phase front of the acoustic field becomes a relevant complementary tool for ultrasonic inspection and characterization of dispersive media. In particular, it highlights hidden characteristics which are not visible with other commonly-used representations, namely, the instantaneous amplitude, the time-frequency distributions or the dispersion curves widely employed in non-destructive testing. This work provides an alternative approach to study highly attenuating media where the signal-to-noise ratio is a challenge, and the available scanning path is limited, e.g., layered and poroelastic media such as biological tissues.

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Ultrasonic Wave Propagation for Smart Agriculture: an Arabica Coffee Case of Study

Cited by 2 publications

References 9 publications

The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review

The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review

Non-contact detection of hidden damages in dispersive media using the instantaneous phase

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