Comparison of insect detection efficiency by different detection methods

Jian, Fuji; Doak, Sara; Jayas, Digvir S.; Fields, Paul G.; White, N. D. G.

doi:10.1016/j.jspr.2016.07.008

Cited by 17 publications

(4 citation statements)

References 24 publications

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“…In this research, the temperature of the samples reached 62±5°C at 300 W at an exposure time of 120 s, thus the expected mortality outcome for the weevil adults was obtained. This result was consistent with those from previous research studies on disinfestation of insects on agricultural products by using microwave radiation: Cryptolestes ferrugineus on wheat flour [16][17]; Callosobruchus maculatus on mung bean [11]; Fardh insects on date [6]; Tribolium castaneum on wheat flour [13][14][15] on rice [18] and Plodia interpunctella on wheat germ [24]. All of them reported that 100% of insect mortality was obtained when the agricultural product temperature was over 55°C.…”

Section: Resultssupporting

confidence: 91%

“…Potentially, disinfestation by using microwave is more efficient than other heating methods. Several previous research reported successful disinfestation of insects in agricultural products by microwave heating: apple [9], date [6,10], mung bean [11], walnut [12], wheat [13][14][15][16][17] and rice [18]. However, too high a microwave power level can cause irreversible changes in the structure and quality of an agricultural product.…”

Section: Introductionmentioning

confidence: 99%

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Disinfestation of Sitophilus zeamais Motschulsky in stored maize using microwave

2020

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This study aimed primarily to investigate on disinfestation of maize weevil (Sitophilus zeamais Motschulsky) in maize storage by using microwave method. Specimens of Maize weevils were cultured for 30 days in a maize sample with 17% moisture content (wet basis). Several different life stages of the maize weevil (egg, young larva, old larva, pupa and adult) were then infested in the sample. Next, the maize sample was exposed to 200, 300 and 450 W of microwave power for 60, 120 and 180 s, and the number of weevils were counted after each treatment. Moreover, the sample was kept for another 2 months to see whether the eggs have survived the treatment and grown to be adults. In addition, the effects of the level of microwave power and exposure time on the property of the maize sample were observed. The quality parameters investigated were moisture content, colour and protein and fat contents. It was found that, at 300 W of power for 180 s, the microwave was able to disinfect weevils at all life stages successfully, while the quality of the maize sample did not change significantly at the tested microwave settings and exposure times, except for the protein content. These findings indicate that microwave can be a good alternative to harmful chemical methods for disinfestation of maize weevils.

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Section: Resultssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Disinfestation of Sitophilus zeamais Motschulsky in stored maize using microwave

2020

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“…This point should be validated later. At first sight, one could consider that the performances obtained with these two technologies are not superior to those obtained using classical methods of detection, such as sieving, microwave heating, or Berlese funnels [54]. However, the advantage of these technologies lies in their ability to be used on flow and, therefore, to analyze a very large quantity of grains.…”

Section: Discussionmentioning

confidence: 99%

Using Internet of Things (IoT), Near-Infrared Spectroscopy (NIRS), and Hyperspectral Imaging (HSI) to Enhance Monitoring and Detection of Grain Pests in Storage and Handling Operators

Crépon,

Cabacos,

Bonduelle

et al. 2023

Agriculture

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To reduce the use of insecticides, silo operators are reconsidering their practices and implementing integrated pest management (IPM) to manage insect infestations. IPM requires the early detection of insects to react before infestation spread or to isolate infested lots. Depending on their position in the storage and handling chain, operators will favor monitoring or rapid detection tools. To simplify monitoring in storage, an internet-connected trap has been designed. It includes a camera located above a tank that allows for the captured insects to be counted. A total of 89 traps were installed in elevators for a proof-of-concept phase. Compared to sample monitoring, the traps detected an average of three additional insect species in an infested batch. To improve the detection of insects in wheat, methods for detecting and quantifying live adult insects (Sitophilus oryzae, Rhyzoperta dominica, and Tribolium confusum) using NIRS and HSI have been developed. The used instruments, a near-infrared spectrometer and a hyperspectral camera, allow for an in-flow analysis, which reduces sampling errors. The cross-validation errors of the NIRS models ranged from 2.44 insects/kg to 2.56 insects/kg, and the prediction error of the HSI ones ranged from 0.70 insect/kg to 2.07 insect/kg, depending on the insect species.

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“…(2001,2020) have proposed the use of probe traps, which consist of perforated tubes that are inserted into the top of the stored grain and can provide reliable data about the current infestation levels. When looking at just grain samples received, more technologically advanced methods for determining insect infestation are available and include near infrared technologies, acoustic monitoring, detecting carbon dioxide level changes, X-ray scanning, molecular indicators, and ELISA (Haff and Slaughter, 2004;Perez-Mendoza et al, 2005;Fornal et al, 2007;Chotikasatian et al, 2017;Jian et al, 2016;Thanushree et al, 2018). Nevertheless, some of these methods are only applicable for the detection of certain stored product species or useful for certain types of grains or bulk commodities.…”

mentioning

confidence: 99%

Testing Barley Samples for Potential Insect Infestations with a Conductance Mill

Brabec,

Grothe,

Athanassiou

2023

Applied Engineering in Agriculture

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Highlights The conductance mill successfully detected seeds infested with large larvae, over 80% in barley and wheat. Barley seeds, infested with medium larvae, were detected at a lower rate than wheat; ~40% for barley vs. ~65% for wheat. The feed-rate of barley samples was slower than the wheat and the resulting ground barley material contained higher fractions of large particles, over #20 mesh sieve. Abstract. A laboratory mill was developed by Pearson and Brabec (2007) which typically detects 50% to 80% of infested kernels of wheat, brown rice, or popcorn. Barley is another cereal grain of similar size as wheat. Barley is normally sold with its hull attached to the seed, which makes detection of insect infestations more difficult. The objective of this study was to determine the potential of using the conductance mill to detect barley kernels infested by the lesser grain borer, Rhyzopertha dominica (F.), in comparison to detection in wheat. As in previous studies, these experiments found that the conductance mill could detect infested kernels of wheat containing large and medium larvae at a rate of ~90% and ~65%, respectively. For barley, the detection of infested kernels was over ~80% for large larvae and ~40% for medium larvae. Also, we showed that adults that were freely moving throughout the grain mass could also be detected. Approximately ~65% of the adults were detected in wheat while that percentage was reduced to ~35% in barley. The hull on the barley seems to function as an insulator during the conductance measurement and thus reduces detections. Also, the hull seems to affect the feed rate of material through the mill. The feed-rate for wheat was 500 g in 50 s, while the feed-rate for barley was 500 g in ~80 s. Despite these pitfalls, the conductance mill could still be considered as a useful tool with inspecting barley sample, because there was significant detection of insects in the samples and 1000 g sample of barley could be processed in ~4 min. Keywords: Barley, Detection, Rhyzopertha dominica, Sampling, Wheat, X-ray.

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Comparison of insect detection efficiency by different detection methods

Cited by 17 publications

References 24 publications

Disinfestation of Sitophilus zeamais Motschulsky in stored maize using microwave

Disinfestation of Sitophilus zeamais Motschulsky in stored maize using microwave

Using Internet of Things (IoT), Near-Infrared Spectroscopy (NIRS), and Hyperspectral Imaging (HSI) to Enhance Monitoring and Detection of Grain Pests in Storage and Handling Operators

Testing Barley Samples for Potential Insect Infestations with a Conductance Mill

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