Soil sensing survey robots based on electronic nose

Pobkrut, Theerapat; Kerdcharoen, Teerakiat

doi:10.1109/iccas.2014.6987829

Cited by 21 publications

(17 citation statements)

References 20 publications

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“…The results obtained by Lavanya et al support the utility of the device as a screening tool for the presence and also content of humic and fulvic acids, which are the fertility components of soil [ 32 ]. Pobkrut and Kerdcharoen proposed an interesting application of an e-nose [ 33 ]. They installed an array of six gas sensors on a semi-autonomous wheeled robot chassis in order to conduct the monitoring of soil surface for the detection of organic volatile compounds to examine the fertility.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Hydrocarbon Soil Pollution Using E-Nose

Bieganowski

Józefaciuk

Bandura

et al. 2018

Sensors

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The possibility of detecting low levels of soil pollution by petroleum fuel using an electronic nose (e-nose) was studied. An attempt to distinguish between pollution caused by petrol and diesel oil, and its relation to the time elapsed since the pollution event was simultaneously performed. Ten arable soils, belonging to various soil groups from the World Reference Base (WRB), were investigated. The measurements were performed on soils that were moistened to field capacity, polluted separately with both hydrocarbons, and then allowed to dry slowly over a period of 180 days. The volatile fingerprints differed throughout the course of the experiment, and, by its end, they were similar to those of the unpolluted soils. Principal component analysis (PCA) and artificial neural network (ANN) analysis showed that the e-nose results could be used to detect soil contamination and distinguish between pollutants and contamination levels.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Hydrocarbon Soil Pollution Using E-Nose

Bieganowski

Józefaciuk

Bandura

et al. 2018

Sensors

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“…Pobkrut [21] used a semi-autonomous mobile e-nose robot to examine the fertility of the soil by using metal oxide gas sensors to detect organic volatile compounds found in soil. A six-wheel robot was designed with an integrated array of gas sensors shown in Table 3.…”

Section: Infected Region Detection After Triangle Thresholdingmentioning

confidence: 99%

Pre-Harvest and Post-Harvest Techniques for Plant Disease Detections

Habib¹,

Rizk²

2021

Biomimetics

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As the agriculture industry is growing fast, many efforts are introduced to ensure a high quality of produce. Diseases and defects found in plants and crops affect greatly the agriculture industry. Hence, many techniques and technologies have been developed to help solve or reduce the impact of plant diseases. Imagining analysis tools and gas sensors are becoming more frequently integrated into smart systems for plant disease detection. Many disease detection systems incorporate imaging analysis tools and VOC (Volatile Organic Compound) profiling techniques to detect early symptoms of diseases and defects of plants, fruits, and vegetative produce. These disease detection techniques can be further categorized into two main groups: preharvest disease detection and postharvest disease detection techniques. This paper aims to introduce the available disease detection techniques and to compare them with the latest innovative smart systems that feature visible imaging, hyperspectral imaging, and VOC profiling. In addition, this paper considers the efforts to automate imaging techniques to help accelerate the disease detection process. Different approaches are analyzed and compared in terms of work environment, automation, implementation, and accuracy of disease identification along with the future evolution perspective in this field.

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“…Another study presents Visible and Near Infrared Reflectance Spectroscopy technology to evaluate the soil properties such as moisture content, bulk density, silt, clay and sand in Malaysian paddy field [19], [14]. Modern agriculture is moving towards the utilisation of robots to inspect crop, check the weather conditions, soil fertility, and soil and crop diseases [17]. Few studies have discussed the utilisation of smart farming technologies.…”

Section: Benefits Of Urban Farming Activitiesmentioning

confidence: 99%

Urban Farming Activities in Southeast Asia: A Review and Future Research Direction

et al. 2019

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The activities of urban farming in Southeast are still limited and scattered. In order to give valuable insights into the urban agriculture of Southeast Asia and to support researchers, we need to know in details the available options and gaps in this research direction that will serve future researchers. Thus, in this study, a review is conducted to map the research landscape into a coherent taxonomy. The research procedure focuses on all these subject matters related to urban farming system activities, technology application and their use in the urban farms and smallholder farming activities in Southeast Asia. These studies selected from the three major digital databases, namely, the ScienceDirect, Web of Science, and Scopus. The study selection process consists of research into literature sources, followed by three iterations of screening and filtering, excluded duplicate articles, screening the titles and abstracts and reading of the full-text articles. The final included result is 88 articles, which will be adopted on in this study. Further, a review in details of the layout of the research landscape of literature is conducted into a cohesive classification with its descriptive analysis. We also identify the essential characteristics of this emerging field in the following aspects: benefits of using urban farming activities in Southeast Asia, challenges hindering utilization, and recommendations to improve the acceptance and use of urban farming applications in literature.

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Soil sensing survey robots based on electronic nose

Cited by 21 publications

References 20 publications

Evaluation of Hydrocarbon Soil Pollution Using E-Nose

Evaluation of Hydrocarbon Soil Pollution Using E-Nose

Pre-Harvest and Post-Harvest Techniques for Plant Disease Detections

Urban Farming Activities in Southeast Asia: A Review and Future Research Direction

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