Relevant bibliographies by topics / Mushroom detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Mushroom detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Mushroom detection"

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Bever, Candace S., Robert M. Hnasko, Luisa W. Cheng, and Larry H. Stanker. "A Rapid Extraction Method Combined with a Monoclonal Antibody-Based Immunoassay for the Detection of Amatoxins." Toxins 11, no. 12 (December 11, 2019): 724. http://dx.doi.org/10.3390/toxins11120724.

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Amatoxins (AMAs) are lethal toxins found in a variety of mushroom species. Detection methods are needed to determine the occurrence of AMAs in mushroom species suspected in mushroom poisonings. In this manuscript, we report the generation of novel monoclonal antibodies (mAbs, AMA9G3 and AMA9C12) and the development of a competitive, enzyme-linked immunosorbent assay (cELISA) that is sensitive at 1 ng mL−1 and shows selectivity for α-amanitin (α-AMA) and γ-amanitin (γ-AMA), and less for β-amanitin (β-AMA). In order to decrease the overall time needed for analysis, the extraction procedure for mushrooms was also simplified. A rapid (1 min) extraction procedure of AMAs using solvents as simple as water alone was successfully demonstrated using Amanita mushrooms. Together, the extraction method and the mAb-based ELISA represent a simple and rapid method that readily detects AMAs extracted from mushroom samples.
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Ji, Jiangtao, Jingwei Sun, Xin Jin, Hao Ma, and Xuefeng Zhu. "Measuring the Cap Diameter of White Button Mushrooms ( Agaricus bisporus ) by Using Depth Image Processing." Applied Engineering in Agriculture 37, no. 4 (2021): 623–33. http://dx.doi.org/10.13031/aea.14356.

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Highlights A new background segmentation algorithm for depth image was developed. Cap diameter of white button mushroom was measured automatically. The average of diameter measurement error was 4.94%. This work can provide online decision support for selectively harvesting of Agaricus bisporus . Abstract. With the increase in the production and yield of white button mushrooms (Agaricus bisporus), efficient harvesting has become a challenge. Automatic selective harvesting has gradually become a solution. The diameter of the mushroom cap is an essential indicator of the harvesting standard. To provide guidance for selective harvesting, this article presents a method for target detection and measuring the diameter of mushroom caps by using depth image processing. According to the three-dimensional structure characteristics of the mushroom, a novel method is proposed to segment it from the compost it grows on. In this method, compost is regarded as the floor of the sea and mushrooms as standing islands. With the rise of sea level, the compost is gradually submerged, and the target of Agaricus bisporus is stable. These features were used to realize the background segmentation. After background segmentation, the pixel coordinates of the contour points of the mushroom caps are transformed into world coordinates, and the cap diameter is measured by Hough transform. In total, 380 mushrooms depicted in 25 depth images were used to test the developed algorithms. The results showed that 92.37% of the mushrooms were correctly detected. The missed detection rate was less than 8%, and the false detection rate was 1.96%. The average diameter measurement error was 4.94%, and the average process time to measure a single mushroom was approximately 0.50 s. The method proposed in this article can provide online decision support for automatic selective harvesting of Agaricus bisporus, which can improve the quality and efficiency of its production. Keywords: Background segmentation, Computer vision, Diameter measurement, Edible fungus, Hough transform.
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Eastwood, Daniel, Julian Green, Helen Grogan, and Kerry Burton. "Viral Agents Causing Brown Cap Mushroom Disease of Agaricus bisporus." Applied and Environmental Microbiology 81, no. 20 (August 7, 2015): 7125–34. http://dx.doi.org/10.1128/aem.01093-15.

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ABSTRACTThe symptoms of viral infections of fungi range from cryptic to severe, but there is little knowledge of the factors involved in this transition of fungal/viral interactions. Brown cap mushroom disease of the cultivatedAgaricus bisporusis economically important and represents a model system to describe this transition. Differentially expressed transcript fragments between mushrooms showing the symptoms of brown cap mushroom disease and control white noninfected mushrooms have been identified and sequenced. Ten of these RNA fragments have been found to be upregulated over 1,000-fold between diseased and nondiseased tissue but are absent from theAgaricus bisporusgenome sequence and hybridize to double-stranded RNAs extracted from diseased tissue. We hypothesize that these transcript fragments are viral and represent components of the disease-causing agent, a bipartite virus with similarities to the familyPartitiviridae. The virus fragments were found at two distinct levels within infected mushrooms, at raised levels in infected, nonsymptomatic, white mushrooms and at much greater levels (3,500 to 87,000 times greater) in infected mushrooms exhibiting brown coloration. In addition, differential screening revealed 9 upregulated and 32 downregulated hostAgaricus bisporustranscripts. Chromametric analysis was able to distinguish color differences between noninfected white mushrooms and white infected mushrooms at an early stage of mushroom growth. This method may be the basis for an “on-farm” disease detection assay.
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Radványi, Dalma, András Geösel, Zsuzsa Jókai, Péter Fodor, and Attila Gere. "Detection and Identification of Microbial Volatile Organic Compounds of the Green Mold Disease." International Journal of Agricultural and Environmental Information Systems 11, no. 2 (April 2020): 14–28. http://dx.doi.org/10.4018/ijaeis.2020040102.

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Button mushrooms are one of the most commonly cultivated mushroom species facing different risks e.g.: viral, bacterial and fungal diseases. One of the most common problems is caused by Trichoderma aggressivum, or ‘green mould' disease. The presence or absence of mushroom disease-related moulds can sufficiently be detected from the air by headspace solid-phase microextraction coupled gas chromatography-mass spectrometry (HS SPME GC-MS) via their emitted microbial volatile organic compounds (MVOCs). In the present study, HS SPME GC-MS was used to explore the volatile secondary metabolites released by T. aggressivum f. europaeum on different nutrient-rich and -poor media. The MVOC pattern of green mould was determined, then media-dependent and independent biomarkers were also identified during metabolomic experiments. The presented results provide the basics of a green mould identification system which helps producers reducing yield loss, new directions for researchers in mapping the metabolomic pathways of T. aggressivum and new tools for policy makers in mushroom quality control.
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STRAPP, CHRISTINE M., ADRIENNE E. H. SHEARER, and ROLF D. JOERGER. "Survey of Retail Alfalfa Sprouts and Mushrooms for the Presence of Escherichia coli O157:H7, Salmonella, and Listeria with BAX, and Evaluation of this Polymerase Chain Reaction–Based System with Experimentally Contaminated Samples†." Journal of Food Protection 66, no. 2 (February 1, 2003): 182–87. http://dx.doi.org/10.4315/0362-028x-66.2.182.

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BAX, a polymerase chain reaction (PCR)–based pathogen detection system, was used to survey retail sprouts and mushrooms for contamination with Escherichia coli O157:H7, Salmonella, Listeria spp., and Listeria monocytogenes. No Salmonella or E. coli O157:H7 was detected in the 202 mushroom and 206 alfalfa sprout samples screened. L. monocytogenes was detected in one sprout sample, and seven additional sprout samples tested positive for the genus Listeria. BAX also detected Listeria species in 17 of the mushroom samples. Only 6 of 850 PCR assays (0.7%) failed to amplify control DNA, and therefore reagent failures and the inhibition of PCR by plant compounds were rare. The sensitivity of the detection system was evaluated by assaying samples inoculated with 10 CFU of each of the pathogens. One hundred seventy-two alfalfa sprout samples were inoculated with E. coli O157:H7, and two sets of 130 samples were experimentally contaminated with Salmonella Enteritidis and L. monocytogenes. The frequency of detection depended on the protocols used for inoculation and culturing. Inoculation of samples with approximately 10 CFU from frozen stocks yielded detection rates of 87.5 and 94.5% for L. monocytogenes and Salmonella Enteritidis, respectively, in mushrooms. The corresponding rates for alfalfa sprouts were 94.5 and 76.3%. The E. coli O157:H7 detection rate was 100% for mushrooms but only 48.6% for sprouts when standard BAX culture protocols were used. The substitution of an overnight incubation in modified E. coli medium for the 3-h brain heart infusion incubation increased the rate of E. coli O157:H7 detection to 75% for experimentally contaminated sprouts. The detection rate was 100% when E. coli O157:H7 cells from a fresh overnight culture were used for the inoculation. Test sensitivity is therefore influenced by the type of produce involved and is probably related to the growth of pathogens in the resuscitation and enrichment media.
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Mohiuddin, KM, Md Mehediul Alam, Md Taufique Arefin, and Istiaq Ahmed. "Assessment of nutritional composition and heavy metal content in some edible mushroom varieties collected from different areas of Bangladesh." Asian Journal of Medical and Biological Research 1, no. 3 (February 23, 2016): 495–501. http://dx.doi.org/10.3329/ajmbr.v1i3.26468.

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Four edible mushroom species (Pleurotus ostreatus, Agaricus bisporus, Volvariella volvacea, Ganoderma lucidum) from different locations of Bangladesh, were analysed for their protein and metal content profile (K, Na, Fe, Cu, Zn, Mn, Cr, Pb, As and Cd). Trace metals were determined by atomic absorption spectrophotometer, Na and K by flame emission spectrophotometer and protein by micro Kjeldhal method. All element concentrations were determined on a dry weight basis. The protein content of mushrooms varied from 13.8%–34.3% and the metal content of samples ranged from 0.54–2.25% for K and 12.6–81.6, 69.5–626.2, 39.2–163.4, 30.1–75.5, 52.9–104.5, 0.20–0.30, 0.13–0.59 ?g g-1 for Na, Fe, Cu, Zn, Mn, Cd, Pb, respectively. Arsenic and cadmium concentrations were below the detection limit of the method used. The detection limits of the method for As and Cd are 0.01 ?g g-1 for each element. In general, K and Fe content were higher than other metals in all mushroom species. The levels of Cu and Zn in some mushroom samples were found to be higher than legal limits.Asian J. Med. Biol. Res. December 2015, 1(3): 495-501
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Khusairi, Zainul Ikhwan Ahmad, Rizz Fazali, Chung WM, Azmir Anuar, and Afendi Ghazali. "Chlorophyllum Molybdites “Delicious Poisoning Snack” in Patients Diagnosed with Acute Gastroenteritis." International Journal of Human and Health Sciences (IJHHS) 5 (March 5, 2021): 17. http://dx.doi.org/10.31344/ijhhs.v5i0.308.

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Introduction: Since time immemorial, mushrooms have been used as a part of human diet, some of them are very well known for their nutritive and medicinal properties and some are known to cause poisoning to the human body. A number of post ingestion fatalities due to poisonous mushrooms has been reported worldwide. These poisonous mushrooms are often misidentified as edible ones, which accounts for accidental poisoning.Objective: The main objective of this report was to describe the clinical manifestations of mushroom poisoning cases presented at the Emergency Department (ED), Taiping Hospital.Case Presentation: There were two cases presented, who suffered from moderate dehydration due to acute gastroenteritis after taking 'delicious mushrooms', also known as Chlorophyllum Molybdites. This study found that both cases had complaints of abdominal cramping, diarrhoea and vomiting more than twenty times a day. There was no history of numbness or weakness noted, and no chest pain or shortness of breath. On arrival, both cases presented signs of moderate dehydration with coated tongue and normal blood pressure, with slightly increased in temperature (37.30C). Abdomen was soft but discomfort upon palpation and described as bloated. Both cases were resuscitated with 20ml/kg normal saline. Charcoal, antiemetic, proton pump inhibitor and ceftriaxone antibiotic were given at the ED. Both survived and were treated as infectious acute gastroenteritis. Nausea and vomiting were the most common early symptoms of intoxication and should be considered as a medical emergency. Alpha Amanitin levels should be checked where possible if amanita poisoning is suspected. An early diagnosis and immediate treatment are required for a successful outcome.Conclusion: All patients with the history of mushroom ingestion should be admitted. If laboratory detection of toxin is not available, history of mushroom ingestion, clinical manifestation and their trends could define mushroom poisoning.International Journal of Human and Health Sciences Supplementary Issue: 2021 Page: S17
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Jahan Pinky, Nusrat, S. M. Mohidul Islam, and Rafia Sharmin Alice. "Edibility Detection of Mushroom Using Ensemble Methods." International Journal of Image, Graphics and Signal Processing 11, no. 4 (April 8, 2019): 55–62. http://dx.doi.org/10.5815/ijigsp.2019.04.05.

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Sun, J., H.-J. Li, H.-S. Zhang, Y.-Z. Zhang, J.-W. Xie, P.-B. Ma, C. Guo, and CY Sun. "Investigating and analyzing three cohorts of mushroom poisoning caused by Amanita exitialis in Yunnan, China." Human & Experimental Toxicology 37, no. 7 (August 22, 2017): 665–78. http://dx.doi.org/10.1177/0960327117721960.

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Amanita exitialis is a lethal mushroom found in China. Knowledge regarding taxonomic characterization, toxin detection, general poisoning conditions, clinical manifestations, laboratory examinations, and clinical treatments for this species is currently lacking. We investigated three A. exitialis mushroom poisoning cohorts in Yunnan Province in 2014 and 2015, involving 10 patients. Mushroom samples were identified by morphological and molecular studies. Ultra performance liquid chromatography-electrospray ionization tandem mass spectrometry was used to detect the peptide toxins in the mushroom samples. Epidemiological information, clinical data, and results of laboratory examinations were collected and analyzed. The mushroom samples were all identified as A. exitialis. The average toxin concentration decreased from the cap to the stipe to the volva, and the average concentration of the peptide toxins decreased in the order of α-amanitin > phallacidin > β-amanitin > γ-amanitin. The latency period between ingestion and the onset of symptoms was 13.9 ± 2.1 h, and the time from ingestion to hospitalization was 49.6 ± 8.5 h. The most common symptoms were nausea and vomiting (100%). Four patients died from fulminant hepatic failure. Laboratory examinations showed that the alanine transaminase, aspartate transaminase, prothrombin time, and activated partial thromboplastin time levels peaked on the third day post-ingestion. Total bilirubin and direct bilirubin values peaked on day 7. The death group and the survival group had a similar variation trend of serological indexes, but the death group had a greater change. A. exitialis is an extremely dangerous mushroom and there is a need to educate the public to avoid picking and eating wild mushrooms that have not been definitively identified.
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Bever, Candace S., Kenneth D. Swanson, Elizabeth I. Hamelin, Michael Filigenzi, Robert H. Poppenga, Jennifer Kaae, Luisa W. Cheng, and Larry H. Stanker. "Rapid, Sensitive, and Accurate Point-of-Care Detection of Lethal Amatoxins in Urine." Toxins 12, no. 2 (February 15, 2020): 123. http://dx.doi.org/10.3390/toxins12020123.

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Globally, mushroom poisonings cause about 100 human deaths each year, with thousands of people requiring medical assistance. Dogs are also susceptible to mushroom poisonings and require medical assistance. Cyclopeptides, and more specifically amanitins (or amatoxins, here), are the mushroom poison that causes the majority of these deaths. Current methods (predominantly chromatographic, as well as antibody-based) of detecting amatoxins are time-consuming and require expensive equipment. In this work, we demonstrate the utility of the lateral flow immunoassay (LFIA) for the rapid detection of amatoxins in urine samples. The LFIA detects as little as 10 ng/mL of α-amanitin (α-AMA) or γ-AMA, and 100 ng/mL of β-AMA in urine matrices. To demonstrate application of this LFIA for urine analysis, this study examined fortified human urine samples and urine collected from exposed dogs. Urine is sampled directly without the need for any pretreatment, detection from urine is completed in 10 min, and the results are read by eye, without the need for specialized equipment. Analysis of both fortified human urine samples and urine samples collected from intoxicated dogs using the LFIA correlated well with liquid chromatography–mass spectrometry (LC-MS) methods.
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Dissertations / Theses on the topic "Mushroom detection"

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Steinhauser, Dominik. "Detekce a rozpoznání hub v přirozeném prostředí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363798.

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In this thesis is handled the problem of mushroom detection and recognition in natural environment. Convolutional neural networks are used. The beginning of this thesis is dedicated to the theory of neural networks. Further is solved the problem of object detection and classification. Using neural network trained for classification is solved also the task of localization. Results of trained CNNs are analised.
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Adeleke, Rasheed Adegbola. "Isolation, propagation and rapid molecular detection of the Kalahari truffle, a mycorrhizal fungus occurring in South Africa." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1002951.

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Terfezia pfeilii is an edible mycorrhizal fungus that thrives in the Kalahari Desert of southern Africa. It is best known by desert dwellers for its flavour and as a source of nutrition. Although the genus Terfezia is generally regarded as being an ectomycorrhizal mycobiont, the exact mycorrhizal type formed by T. pfeilli and its' associated host plants remains uncertain. Discovery of the host plants for T. pfeilii would first be required in order to further investigate the life cycle and cultivation of this truffle. This study focussed on the isolation of mycelia from the ascocarp, optimising the growth conditions of the mycelial cultures, rapid molecular identification of T. pfeilii, investigation of potential helper bacteria and mycorrhizal synthesis experiments. T. pfeilii ascocarps were harvested from the Spitskop Nature Reserve in Upington, South Africa. Ascocarps were successfully identified using both morphological and molecular methods. Despite the delayed growth mostly caused by contaminating microorganisms, the isolation of T. pfeilii mycelia culture was successful. Molecular techniques were used to confirm the identity of the pure culture. Further studies were conducted on ways to improve the growth conditions of the mycelial culture on Fontana medium. An optimum temperature of 32°C, the addition of Bovine Serum Albumin as a nitrogen source and a pH of 7.5 significantly improved the growth of T. pfeilii in vitro. A rapid PeR-based molecular method was developed to speed up the identification of T. pfeilii. Specific primers that can exclusively amplify the ITS region of T. pfeilii were designed and used to identify both the ascocarps and the mycelial culture. The specificity of these primers was confirmed by their inability to amplify DNA from the isolates of contamining fungi obtained during the isolation process. Molecular comparison was made to confirm the reclassification of South African samples of T. pfeilii as Kalaharituber pfeilii as proposed by Ferdman et al.,(2005). However, in this study, the name T. pfeilii has been retained. A total of 17 bacterial isolates were obtained from the fruiting bodies of T. pfeaii and these were tested for stimulation of mycelial growth in vitro, indole production and phosphate solubilising capabilities. Bacterial isolates that showed potential to be Mycorrhization Helper Bacteria (MHB) were identified as Paenibacillus sp., Bacillus sp. and Rhizobium tropici. Selected plant seedlings were inoculated with T. pfeilii cultures or ascocarp slurry in order to re-establish the mycorrhizal association. After 8 months, light microscopy observations revealed an endomycorrhizal type association between Cynodon dactylon and T. pfeilii. This was confirmed with molecular analysis using specific T. pfeilii ITS primers. After 15 months, molecular methods confirmed Acacia erioloba as another host plant. These results have provided essential information paving the way for further investigation into the life cycle and biology of the Kalahari truffle.
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William, Lindberg. "Characterization of an HPGe detector for experiments on radioactive mushrooms." Thesis, Uppsala universitet, Tillämpad kärnfysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355116.

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The purpose of this thesis is to assemble an HPGe detector intended to be used in a mass experiment during the autumn of 2018. After assembly, the detector will be characterized and a shielding, consisting of approximately two tons of lead, will be assembled around the detector. Different modules will be tested to find the optimal energy resolution possible for the planned measurements. To characterize the detector several measurements will be taken at different measurement geometries. Measurements of the background radiations will be performed before and after the assembly of the lead shielding such that a comparison of the shielding's effect on measurements can be made. These measurements will also be analyzed in an attempt to identify the different radionuclides contributing to the background radiation. The result was a reliable set-up with a good energy resolution. However, more tests are required to gain a greater understanding of the inner structure of the detector.
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Ching-AnLu and 呂靖安. "Plasmonic Dimer-Mushroom with Reduced Nanogap for Label-Free Detection of Bladder Cancer Biomarkers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ms52kc.

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Chen, Jin-Tong, and 陳錦桐. "Identification, Biological Characteristics, Detection, and Control of Gliocladium roseum, the Causal Agent of Brown Spot of the King Oyster Mushroom Pleurotus eryngii." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/20870936815094035464.

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碩士
國立中興大學
植物病理學系
91
In 1998, commercial cultivation of Pleurotus eryngii (Dc. : Fr.)Quēl. at Taiwan Agricultural Research Institute (TARI) and Wufeng areas around central Taiwan were severely affected by an unknown disease. Symptoms consisted of brown spot, curling of the tissues, sometimes even shrinking and cracking of the infected fruit bodies. Ten isolates, GR-6、GR-7、GR-12、GR-13、GR-16、GR-18、GR-23、GR-28、GR-31 and GR-37 were isolated from diseased fruiting bodies. Pathogenicity was confirmed by inoculating the fungus onto fruit-bodies of P. eryngii for 3 - 4 days under high humidity (RH＞93%) at 16℃. Discoloration of brown spot similar to the original symptoms developed only on inoculated king oyster mushrooms. Noninoculated king oyster mushrooms P. eryngii remained symptomless. On malt extract peptone agar, colony diameter reached 32.5-35.0 mm 10 days after inoculation at 20℃, appeared to be orange to salmon red. Mycelium with septa, two kinds of conidiophores, one consists of verticillate conidiophores 110-170 µm, bearing 2-6 whorls of phialides 13-28 µm; the other bearing the “densely penicillate” phialides 10-16 µm ; Conidia hyaline, one-celled, ovoid , accumulating in a single, slimy, base protruding, smooth-walled, 4.0-6.8 x 3.0-4.5 µm. The fungus was identified as Gliocladium roseum Bainier according to the references of Domsch, et al (1980)、Schroer, et al (1999) and Smalley ＆ Hansen (1957). In advance, the causal agent was also confirmed by comparing the ITS and 28S rDNA sequences of ten isolates of the pathogen with NCBI database. The optimum temperature for conidial germination and mycelial growth of G. roseum isolates GR-12 and GR-28 was at 24-28℃. The best temperature for infection of G. roseum isolates GR-12 and GR-28 onto fruit-bodies of oyster mushroom P. eryngii was at 24-28℃. Pathogenicity of G. roseum isolates GR-12 and GR-28 was confirmed by inoculating onto fruit-bodies of Agaricus bisporus (Lange) Imbach、Lentinus edodes (Berk.) Sing.、Flammulina velutipes (Curt.: Fr.) Sing.、Pleurotus sajor (Fr.) Sing.、Pleurotus cystidosus Miller、Agrocybe cylindracea (DC: Fr) Mre.、Hypsizigus marmoreus Bunashimeji、Coprinus comatus (Müll.: Fr. ) Pers. Twelve carbohydrates and twelve nitrogenous compounds were evaluated for their effects on mycelial growth of two isolates, GR-12 and GR-28 of the pathogen. Among those compounds, sucrose, sorbitol, starch and maltose were more effective than other carbohydrates to enhance the growth of G. roseum. As to nitrogenous compounds, NaNO3, NaNO2 and KNO3 were more effective to enhance growth of the pathogen. Seven pesticides were respectively added into the basal medium (a modified Czapek’s medium containing 3% (w/v) maltose and 0.2% (w/v) NaNO2 , MNa medium) for indexing their suppressive effectiveness. Flutolanil at 200 ppm, mertect at 4 ppm, streptomycin sulfate at 500 ppm, chloramphenicol at 500 ppm and penicillin G at 500 ppm were obviously not effective in inhibiting growth of the pathogen. Finally, maltose-NaNO2 semiselective medium (MNa semiselective medium) consisting of 30 g maltose, 2 g NaNO2, 1 g K2HPO4, 0.5 g MgSO4 7H2O, 0.5 g KCl, 0.01 g FeSO4 7H2O, 20 g agar, 200 ppm flutolanil, 4 ppm mertect, 200 ppm streptomycin sulfate, 200 ppm chloramphenicol, 200 ppm penicillin G and 1L distilled water was hence formulated for the enumeration and isolation of G. roseum from the infested sawdust. The results showed that G. roseum could be accurately detected from artificially and naturally infested sawdust by use of MNa semiselective medium. Population density of the pathogen in naturally infested sawdust was 0 - 1.0×102cfu/g sawdust and in naturally infested soil was 0 — 3.0×102cfu/g soil. High population density of the fungus was also detected from air filter of the mushroom cultivation room by MNa semiselective medium. The disease severity could be reduced more than 30% by spraying Streptomyces padanus PMS-702 at 104cfu/ml, Bacillus subtilis BS 6-14 at 105cfu/ml or CH100 at 2000-fold dilution at the same time or one day before inoculation with the pathogen onto the fruit-bodies of P. eryngii. Environmental hygiene of the mushroom cultivation room is the determinant factor for the disease control. The study indicated that washing air filter of the mushroom cultivation room with water or 2%(v/v) sodium hypochlorite was effective in reducing population density of the pathogen for the disease control.
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Books on the topic "Mushroom detection"

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Smith, Virginia. Murder by Mushroom. Toronto, Ontario: Steeple Hill, 2007.

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The Mushroom Club. U.K.: Lulu, 2008.

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The Mushroom Man (Detective Inspector Charlie Priest Mystery). Headline Publishing Group, 1996.

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Pawson, Stuart. Mushroom Man (Detective Inspector Charlie Priest Mystery) (Detective Inspector Charlie Priest Mystery). Allison & Busby LTD, 2004.

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Phelan, Tom. Lies the Mushroom Pickers Told: A Novel. Arcade, 2017.

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Smith, Virginia. Murder By Mushroom (Steeple Hill Love Inspired Suspense). Steeple Hill, 2007.

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Mystery on Mushroom Island: An Unofficial Minecraft Mysteries Novel. Skyhorse Publishing Company, Incorporated, 2018.

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Bennett, Robert. A Place for Ferns and Mushrooms. 1st Books Library, 1998.

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Phelan, Tom. Lies the mushroom pickers told: A novel. 2015.

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Book chapters on the topic "Mushroom detection"

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Khatun, Selima, Aminul Islam, Kamala Gupta, and Bhaskar Gupta. "Detection of Edible Mushroom Species by Using Molecular Markers." In Fungal Biology, 201–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-34106-4_9.

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Olpin, Alexander J., Rozita Dara, Deborah Stacey, and Mohamed Kashkoush. "Region-Based Convolutional Networks for End-to-End Detection of Agricultural Mushrooms." In Lecture Notes in Computer Science, 319–28. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94211-7_35.

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ROSS, R. C., G. A. BROWN, and C. P. ROMAINE. "Recent Experience in Detecting Viral Double-Stranded RNA in Commercial Mushroom Crops and its Effect on Yield." In Cultivating Edible Fungi, 321–29. Elsevier, 1987. http://dx.doi.org/10.1016/b978-0-444-42747-2.50039-7.

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Conference papers on the topic "Mushroom detection"

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Lin, An, Yunfei Liu, and Lei Zhang. "Mushroom Detection and Positioning Method Based on Neural Network." In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2021. http://dx.doi.org/10.1109/iaeac50856.2021.9390669.

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Wang, Xiuping, and Tongqiang Li. "Image Feature Extraction for Hair Pieces Detection in Mushroom Semiproducts." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.648.

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Qian, Yang, Rong Jiacheng, Wang Pengbo, Yang Zhan, and Geng Changxing. "Real-time detection and localization using SSD method for oyster mushroom picking robot*." In 2020 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2020. http://dx.doi.org/10.1109/rcar49640.2020.9303258.

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Jou, Rong-Yuan, and Tseng-Wei Li. "Deep Learning Automatic Inspections of Mushroom Substrate Packaging for PP-Bag Cultivations." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97011.

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Abstract:
Abstract The mushroom cultivation is an important smart agriculture in Taiwan. This study uses the deep learning object detection method to inspect the cap flaws or positional imperfection in the automatic production of the mushroom PP-bag packaging. This study uses the UR robotic arm and integrated 3D vision module, and uses the extra positioning axis to achieve the purpose of multi-positioning inspections by robot arm. Projecting the structured LED light sources to the object to be inspected has the advantages of a larger identification ranges and complex objects detection. A duallens CMOS industrial camera is used to capture images, and a 3D point cloud image of a basket of PP-bag packages is created by software calculation, which can obtain detailed information on the appearance of the whole basket of PP-bag packages. Deep learning is performed by the training set with labelling, and the image recognition such as the cap flaws in the PP-bag package or positional shift is performed after the training is completed. In this paper, the image data is divided into four sets of datasets, and the same training parameters are used for individual training. With images of dataset1 and the ambient illumination level of 200 lm to 800 lm, the matching score is up to 0.989. The clamping force and the opening degree are adjusted by the variable jaws. The clamping force of the jaws is maintained at 20 N to prevent the clamping force from damaging the dimensions of the PP-bag package and existing holes inside it, making the product unusable. Using the variable jaws and repeating 30 times of clamping experiments, the hole diameter inside the PP-bag package can still be maintained within around 25 mm, which can meet the needs of the mushroom PP-bag packaging.
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Jin-Wei Shi, Jhih-Min Wun, Cheng-Yo Tsai, and J. E. Bowers. "Mushroom-mesa GaAs/In0.5Ga0.5P based laser power converter for simultaneous 10 Gbit/sec data detection and DC electrical power generation." In 2012 IEEE Photonics Conference (IPC). IEEE, 2012. http://dx.doi.org/10.1109/ipcon.2012.6358616.

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Gowen, A. A., and C. P. O'Donnell. "Development of algorithms for detection of mechanical injury on white mushrooms ( Agaricus bisporus ) using hyperspectral imaging." In SPIE Defense, Security, and Sensing, edited by Moon S. Kim, Shu-I. Tu, and Kaunglin Chao. SPIE, 2009. http://dx.doi.org/10.1117/12.818597.

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