Journal articles: 'Diseases and pests'

1

Raman, K. V. "SURVEY OF DISEASES AND PESTS IN AFRICA: PESTS." Acta Horticulturae, no. 213 (September 1987): 145–50. http://dx.doi.org/10.17660/actahortic.1987.213.15.

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Heitefuss, Rudolf. "Wheat Diseases and Pests." Journal of Phytopathology 159, no. 4 (October 5, 2010): 324. http://dx.doi.org/10.1111/j.1439-0434.2010.01750.x.

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Bukhonova, Yu V., and N. G. Mikhina. "Monitoring pests and diseases of linen." Защита и карантин растений, no. 5 (2022): 25–29. http://dx.doi.org/10.47528/1026-8634_2022_5_25.

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Bukhonova, Yu V., and N. G. Mikhina. "Monitoring of legume pests and diseases." Защита и карантин растений, no. 3 (2022): 22–26. http://dx.doi.org/10.47528/1026-8634_2022_3_22.

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Heitefuss, Rudolf. "Compendium of Hop Diseases and Pests." Journal of Phytopathology 158, no. 5 (May 2010): 391. http://dx.doi.org/10.1111/j.1439-0434.2009.01617.x.

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Heitefuss, Rudolf. "Compendium of Beet Diseases and Pests." Journal of Phytopathology 158, no. 5 (May 2010): 392. http://dx.doi.org/10.1111/j.1439-0434.2009.01626.x.

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Kidd, Hamish, and Len Copping. "BCPC Conference 2000 - Pests and Diseases." Pesticide Outlook 12, no. 1 (2001): 36–39. http://dx.doi.org/10.1039/b100807m.

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Choi, Won Il, and Young-Seuk Park. "Management of Forest Pests and Diseases." Forests 13, no. 11 (October 27, 2022): 1765. http://dx.doi.org/10.3390/f13111765.

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The occurrence patterns of forest insect pests and diseases have been altered by global events such as climate change. Recent developments in improved monitoring methods and tools for data analyses provide new opportunities to understand the causes and consequences of such changes. Using a variety of management tools, forest pest management programs can mitigate the influence of global changes on forest health. The goal of this Special Issue is to improve our understanding of the root causes of changes that have induced global changes. Fifteen papers are included in this Special Issue, covering several issues in forest pest management. One paper reviews the causes of Korean oak wilt, and another paper discusses fourteen invasive tree pests in Russia. The remaining thirteen papers cover issues related to the monitoring and management of forest pests. These studies provide a better understanding of the causes of change in the patterns of forest pests under the influence of global changes. These reviews also contribute to the development of forest-pest-management strategies to mitigate such impacts on forests due to global changes.

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Mikhina, N. G., and Yu V. Bukhonova. "Monitoring of cabbage pests and diseases." Защита и карантин растений, no. 12 (2022): 14–19. http://dx.doi.org/10.47528/1026-8634_2022_12_14.

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Bukhonova, Yu V., and N. G. Mikhina. "Monitoring of potato pests and diseases." Защита и карантин растений, no. 11 (2022): 20–24. http://dx.doi.org/10.47528/1026-8634_2022_11_20.

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Choi and Park. "Monitoring, Assessment and Management of Forest Insect Pests and Diseases." Forests 10, no. 10 (October 3, 2019): 865. http://dx.doi.org/10.3390/f10100865.

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Forest pests are one of the most important factors disturbing forest ecosystems, by impacting forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. Monitoring the occurrence of forest pests offers clues to understand their impacts on the forest ecosystem and develop a sustainable ecosystem management strategy. This special issue is designed to create a better understanding of the changes and impacts of forest pests according to forest changes, caused by natural or anthropogenic causes. There are 13 papers published in this special issue, covering several issues concerning forest pests. Two of the papers reviewed the changes in forest pests in Korea or Poland. The remaining twelve papers covered issues concerning the monitoring, assessment, and management of forest pests. Through this special issue, we expect to contribute towards the improvement of our knowledge of the structures and processes in forest ecosystems relating to forest pests and fundamental information for the effective management of forest pests.

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Visutsak, Porawat. "Ontology-Based Semantic Retrieval for Durian Pests and Diseases Control System." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 92–97. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1019.

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In Southeast Asia, durian is affectionately called the king of fruit. Durian is the most popular crop planted in eastern and southern of Thailand. The total crop is around 600,000 tons per year; among this, 500,000 tons of the total production were exported worldwide. In Thailand, the knowledge of durian production is based on experience from generation to generation, especially the knowledge of durian pests and diseases control. This paper presents the ontology knowledge based for durian pests and diseases retrieval system. The major contributions of the system consist of 1) the stored knowledge of durian pests and diseases and 2) the diagnosis of durian diseases and the suggestions for the treatments. The ontology knowledge consists of 8 main classes: 1) diseases, 2) pests, 3) cultivars, 4) symptoms of bunch, 5) leaf area symptoms, 6) symptoms of the branches and trunk, 7) symptoms of fruit, and 8) symptoms of root and growth. The experimental results yielded 100% of precision, 88.33% of recall, and 93.8% of overall performance.

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Luo, She Zhou, and Cheng Wang. "Forest Pests and Diseases Forecasting Based on GIS." Advanced Materials Research 250-253 (May 2011): 2945–48. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2945.

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Geographic Information System (GIS) has been widely applied to the field of pest management, which provides the new ways and methods for integrated pest research, prevention and control. The main purpose of this study is to forecast and manage forest pests and diseases. For this purpose, I developed the forest pests diseases forecast system, by using ArcObjects (AO) and Visual Basic as the secondary development platform. The system is able to synthetically analyze and judge relevant data, such as weather forecast and tree species, according to the occurrence laws of the forest pests and diseases and the characteristics of biology. The system uses Markov chain and other methods to forecast the occurrence period, amount, scope and the degree of harm of pests and diseases. To validate the reliability of Markov chain model, the pests and diseases data of Liu'an City of Anhui Province, in China from 1975 to 2001, to be applied. The results show that the method used is reliable. The occurrence area and location of forest pests and diseases can be labelled and displayed on the electronic map with three-dimension.

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Phophi, Mutondwa M., and Paramu L. Mafongoya. "Constraints to Vegetable Production Resulting from Pest and Diseases Induced by Climate Change and Globalization: A Review." Journal of Agricultural Science 9, no. 10 (September 13, 2017): 11. http://dx.doi.org/10.5539/jas.v9n10p11.

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Vegetable production worldwide is constrained by pests and diseases which effects are exacerbated by climate change and variability. Greenhouse gas emissions are also increasing due to poor agricultural practices and other human activities. This will continue to have a negative impact on the prevalence of insect pests and diseases. This review focuses on the climatic factors that impact on insect pests and diseases of vegetable crops. High atmospheric temperatures and elevated carbon dioxide increases pest development, survival of pests and distribution of pest to new areas. The distribution of insect pests and diseases are not due to climate changes only but are also a result of globalisation and poor biosecurity measures at country borders. There is limited information on the distribution of pests and diseases due to globalisation in African countries. New exotic pests will continue to be introduced to countries if biosecurity measures are not improved. Future research must focus on how to manage emerging pests and diseases influenced by high temperatures and carbon dioxide and other climatic conditions which influence pest severity under smallholder farmers in the southern African regions.

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Jańczak, C., S. Pruszyński, and P. Bubniewicz. "Winter wheat protection against diseases and pests in conventional programme of crop protection and in integrated pest management." Plant Protection Science 38, SI 1 - 6th Conf EFPP 2002 (January 1, 2002): 221–26. http://dx.doi.org/10.17221/10359-pps.

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Results of researches carried out in 2000 and 2001 have demonstrated, that main factors determining yield of winter<br />wheat are: agrotechnical measures, mainly proper choice of field, optimal nitrogen fertilization as well as choice of<br />cultivar well adapted to local climatic conditions. Chemical protection of winter wheat affects first of all stability of<br />yield. Regular inspections of fields with special account to present phytosanitary situation, thresholds of noxiousness and<br />expected development of disease and pest populations should decide on the need of chemical treatments.

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Zhang, Yin’e, and Yong Ping Liu. "Identification of Navel Orange Diseases and Pests Based on the Fusion of DenseNet and Self-Attention Mechanism." Computational Intelligence and Neuroscience 2021 (September 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/5436729.

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The prevention and control of navel orange pests and diseases is an important measure to ensure the yield of navel oranges. Aiming at the problems of slow speed, strong subjectivity, high requirements for professional knowledge required, and high identification costs in the identification methods of navel orange pests and diseases, this paper proposes a method based on DenseNet and attention. The power mechanism fusion (DCPSNET) identification method of navel orange diseases and pests improves the traditional deep dense network DenseNet model to realize accurate and efficient identification of navel orange diseases and pests. Due to the difficulty in collecting data of navel orange pests and diseases, this article uses image enhancement technology to expand. The experimental results show that, in the case of small samples, compared with the traditional model, the DCPSNET model can accurately identify different types of navel orange diseases and pests images and the accuracy of identifying six types of navel orange diseases and pests on the test set is as high as 96.90%. The method proposed in this paper has high recognition accuracy, realizes the intelligent recognition of navel orange diseases and pests, and also provides a way for high-precision recognition of small sample data sets.

17

Kunz, Sidney E. "Integrated pest management of dipteran pests in the New World." International Journal for Parasitology 17, no. 2 (February 1987): 659–64. http://dx.doi.org/10.1016/0020-7519(87)90143-3.

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Yin, Helin, Yeong Hyeon Gu, Chang-Jin Park, Jong-Han Park, and Seong Joon Yoo. "Transfer Learning-Based Search Model for Hot Pepper Diseases and Pests." Agriculture 10, no. 10 (September 28, 2020): 439. http://dx.doi.org/10.3390/agriculture10100439.

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The use of conventional classification techniques to recognize diseases and pests can lead to an incorrect judgment on whether crops are diseased or not. Additionally, hot pepper diseases, such as “anthracnose” and “bacterial spot” can be erroneously judged, leading to incorrect disease recognition. To address these issues, multi-recognition methods, such as Google Cloud Vision, suggest multiple disease candidates and allow the user to make the final decision. Similarity-based image search techniques, along with multi-recognition, can also be used for this purpose. Content-based image retrieval techniques have been used in several conventional similarity-based image searches, using descriptors to extract features such as the image color and edge. In this study, we use eight pre-trained deep learning models (VGG16, VGG19, Resnet 50, etc.) to extract the deep features from images. We conducted experiments using 28,011 image data of 34 types of hot pepper diseases and pests. The search results for diseases and pests were similar to query images with deep features using the k-nearest neighbor method. In top-1 to top-5, when using the deep features based on the Resnet 50 model, we achieved recognition accuracies of approximately 88.38–93.88% for diseases and approximately 95.38–98.42% for pests. When using the deep features extracted from the VGG16 and VGG19 models, we recorded the second and third highest performances, respectively. In the top-10 results, when using the deep features extracted from the Resnet 50 model, we achieved accuracies of 85.6 and 93.62% for diseases and pests, respectively. As a result of performance comparison between the proposed method and the simple convolutional neural network (CNN) model, the proposed method recorded 8.62% higher accuracy in diseases and 14.86% higher in pests than the CNN classification model.

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Nguru, Wilson, and Caroline Mwongera. "Predicting the future climate-related prevalence and distribution of crop pests and diseases affecting major food crops in Zambia." PLOS Climate 2, no. 1 (January 9, 2023): e0000064. http://dx.doi.org/10.1371/journal.pclm.0000064.

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Environmental factors determine the suitability of natural habitats for crop pests and often facilitate their proliferation and that of the crop diseases they carry. Crop pests and diseases damage food crops, significantly reducing yields for these commodities and threatening food security in developing, predominantly agricultural economies. Given its impact on environmental factors, climate change is an important determinant of crop pest and disease distribution. This study uses Targeting Tools, a climate suitability analysis and mapping toolkit, to explore the potential impact of climate change on select environmental factors linked to crop pest and associated diseases’ proliferation. Based on the existing literature, prediction modeling was performed on 21 key pests and diseases that impact the major food crops for Zambian consumption. Future changes in habitat suitability for these crop pests and diseases were mapped based on their optimal temperature and relative humidity conditions for proliferation. Results project that there will be an overall increased geographical spread of suitable habitats for crop pests (and as follows, crop diseases) that thrive in warmer environments. By the 2030s, crop pests and diseases will increasingly spread across Zambia, with a higher likelihood of occurrence projected under RCPs 2.6, 4.5, and 8.5. Crop pests and diseases that thrive in cooler environments will experience decreasing habitat suitability in the 2030s, but will transition to a slower decrease in the 2050s under RCPs 2.6 and 4.5. Overall crop pest and disease habitat suitability will continue to rise slowly in the 2050s; RCP 8.5 shows an increased habitat suitability for crop pests and diseases that thrive in warm environments, with a decreased likelihood of occurrence for crop pests and diseases that thrive in cooler environments. The results highlight the need for future-facing, long-term climate adaptation and mitigation measures that create less suitable microclimates for crop pests and diseases.

20

Falloon, R. E. "DISEASES AND PESTS OF GRASS SEED CROPS." NZGA: Research and Practice Series 5 (January 1, 1990): 25–27. http://dx.doi.org/10.33584/rps.5.1998.3340.

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This paper will discuss the diseases and pests that affect grass seed production. In order to put the diseases and pests into perspective, the principlesof grass seed production will be considered. The components of yield of any crop for which seed is the product are: number of plants per unit area; number of inflorescences per plant; number of seeds per inflorescence; seed weight, Many factors can influence these components, for example: (1) crop establishment (cultivation, seed quality, seeding rate, sowing time, soil moisture and fertility can all affect numbers of plants) (2) crop growth (soil moisture, fertility, grazing and weeds can affect crop growth and influence numbers of inflorescences and numbers and weight of seeds).

21

Miller, S. A., N. Patel, and C. J. Stanley. "CRANBERRY PESTS AND DISEASES IN NEW ZEALAND." Acta Horticulturae, no. 715 (August 2006): 509–12. http://dx.doi.org/10.17660/actahortic.2006.715.78.

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Mikhina, N. G., and Yu V. Bukhonova. "Monitoring pests and diseases of sugar beet." Защита и карантин растений, no. 10 (2022): 21–26. http://dx.doi.org/10.47528/1026-8634_2022_10_21.

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Bukhonova, Yu V., and N. G. Mikhina. "Monitoring of pests and diseases of corn." Защита и карантин растений, no. 1 (2022): 19–22. http://dx.doi.org/10.47528/1026-8634_2022_1_19.

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Delserone, Leslie M. "Review ofCompendium of Beet Diseases and Pests." Journal of Agricultural & Food Information 11, no. 1 (January 21, 2010): 57–58. http://dx.doi.org/10.1080/10496500903436417.

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Heathcote, G. D. "Atlas of diseases and pests in beet." Agriculture, Ecosystems & Environment 24, no. 4 (December 1988): 459–60. http://dx.doi.org/10.1016/0167-8809(88)90125-9.

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Royle, D. J., and M. Hubbes. "Diseases and pests in energy crop plantations." Biomass and Bioenergy 2, no. 1-6 (January 1992): 45–54. http://dx.doi.org/10.1016/0961-9534(92)90087-7.

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Maas, J. L. "STRAWBERRY DISEASES AND PESTS - PROGRESS AND PROBLEMS." Acta Horticulturae, no. 1049 (August 2014): 133–42. http://dx.doi.org/10.17660/actahortic.2014.1049.11.

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Bukhonova, Yu V., and N. G. Mikhina. "Monitoring of pests and diseases for sunflower." Защита и карантин растений, no. 1 (2023): 19–22. http://dx.doi.org/10.47528/1026-8634_2023_1_19.

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Situmorang, Lamhot, and Fristi Riandari. "Expert System Mediagnosa Hama On Phon Oil With Certainty Factor Method." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 2 (June 1, 2020): 268–74. http://dx.doi.org/10.47709/cnapc.v2i2.416.

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The process of palm oil culture is influenced by various factors, one of which is the pest and disease factors. Generally the problem of farmers differentiating pests and diseases, this is dyed most of the farmers lack information and rely on the experience of other farmers to overcome the existing pest and disease problems. In handling pests and diseases, it is necessary to have a farmer consilant who is able to diagnose pests and diseases on oil palm trees. In this study, an expert system for diagnosing pests and diseases in palm tree plants, as well as providing various solutions for pests or diseases. The method used in this expert system is the Certainty Fators method. Certainty Method The factors was chosen because this method is suitable in the process of determining the identification of pests and diseases and the result of this application is the percentage of the system. The percentage is influenced by the CF value obtained from the system, the percentage of expert system consultations is taken from the highest yield as an alternative to other pests or diseases that attack oil palm tree crops.

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Nurhasan, H. L. Susilawati, and Supriatna. "The dynamic of pests and plant diseases during three consecutive rice growing seasons." IOP Conference Series: Earth and Environmental Science 1039, no. 1 (September 1, 2022): 012030. http://dx.doi.org/10.1088/1755-1315/1039/1/012030.

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Abstract Pests and diseases are significant factors that affecting global rice production. There is a need that pests and diseases have continuously been controlled, in order to solve the pest and disease problem. The aim of this study was to observe the population dynamics of pests and diseases infestation in lowland rice field during different cropping seasons. The data of pest and disease infestation in Pati District, Central Java Province, Indonesia during the Rainy Season (RS) 2018/2019, the Dry Season (DS) 2019, and the RS 2019/2020 were observed and analyzed. The results showed that the rice fields in Pati were susceptible to stem borer, brown plant hopper, rats, fake white pests, blast and bacterial blight during three consecutive seasons. Tungro was not found. During both the RS and DS, the areas of rice paddy in Pati approximately 470 ha season−1 were affected by stem borer. The second largest damage rice area approximately 221 ha season−1 was affected by blast. Grain loses due to pests and diseases infestation during the RS was higher than during the DS. Micro-climate significantly affected pests and plant diseases. The dynamic of pests and plant disease infestation provide information early warning for high-risk areas of rice production and for pests-diseases management.

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Bell, J. N. B., S. McNeill, G. Houlden, V. C. Brown, and P. J. Mansfield. "Atmospheric change: effect on plant pests and diseases." Parasitology 106, S1 (January 1993): S11—S24. http://dx.doi.org/10.1017/s003118200008608x.

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SUMMARYThe atmosphere plays a key role in plant disease, but only recently has it become understood that atmospheric pollutants can influence the response of plants to attack by pests and pathogens. This paper reviews the evidence for this phenomenon, considering impacts of sulphur dioxide, nitrogen dioxide and ozone, mainly on fungal pathogens and aphid pests. Field observations in polluted areas have indicated changes in abundance of pests and pathogens and in some cases a causal link has been demonstrated in controlled experiments. A major study is described in which consistent marked positive impacts of SO2 and NO2 have been shown on a range of British agricultural aphid pests, using four different approaches: fumigations, nitration studies, exposure along air pollution gradients and a nation-wide field survey. Ozone, in contrast, produces a more complex range of responses. These effects are apparently mediated via chemical changes in the plant. Fungal pathogens show both positive and negative responses to air pollutants. A study is described in which these opposite responses in two different fungal species were observed in a field SO2–fumigation system and confirmed in controlled laboratory fumigations. Models are presented to describe the complex pathways by which air pollutants could influence host plant performance via impacts on pests and pathogens.

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Gonda, István, Imre Holb, and Klára Bitskey. "Previous data on the relationship between the intensity of pruning and the degree of damage in integrated and organic applegrowing systems." Acta Agraria Debreceniensis, no. 1 (May 27, 2001): 47–52. http://dx.doi.org/10.34101/actaagrar/1/3585.

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In Hungary, fruit growers are increasingly interested in environmentally friendly growing methods, such as organic and integrated systems. Vital is the establishment of a strengthened system of cultivar-pruning-plant protection in production technology. Consequently, our aim was to examine the susceptibility of apple cultivars to diseases and pests and the effect of pruning technique on diseases and pests in organic and integrated growing systems.Two pathogens (Venturia inaequalis, Podosphaera leucotricha) and two pests (Leucoptera malifoliella, Pannonychus ulmi) were observed in organic and integrated systems under „strong” and „weak” pruning techniques. Our results on six cultivars showed that the pathogens and pests infested the trees more in the organic system, as compared to that of integrated production. The pruning technique affected mainly the susceptiblecultivars to diseases and pests. The „weak” pruning technique caused a higher level of diseases and pests infestations than the „strong” pruning technique, especially in the organic growing system. The likely reason is that the shoots grow fast and powerfully under “strong” pruning technique. This supports better preservation of the trees supported by susceptibility of plant tissues to diseases and pests.

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Okonya, Joshua, Walter Ocimati, Anastase Nduwayezu, Déo Kantungeko, Nicolas Niko, Guy Blomme, James Legg, and Jürgen Kroschel. "Farmer Reported Pest and Disease Impacts on Root, Tuber, and Banana Crops and Livelihoods in Rwanda and Burundi." Sustainability 11, no. 6 (March 15, 2019): 1592. http://dx.doi.org/10.3390/su11061592.

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Biotic constraints cause major crop losses and, hence, food insecurity in sub-Saharan Africa. This study documented the popularity, production constraints, pests and diseases, farmers’ perceptions on the severity of biotic constraints and the impact of related crop losses on household food security for the key root, tuber and banana (RTB) crops (cassava, potato, sweetpotato and banana). Farmer interviews were conducted in 2014 covering 811 households in Rwanda and Burundi. Farmers were asked to list their RTB crop production constraints, name insect pests and diseases of RTB crops, estimate crop loss due to pests and diseases, and mention if their household experienced any form of food insecurity due to pests and diseases. Cutworms and late blight in potato, banana weevils and banana Xanthomonas wilt in banana, cassava whitefly and cassava mosaic disease in cassava, sweetpotato weevils, and sweetpotato virus disease in sweetpotato were the most predominant pests and diseases reported. Crop losses due to pests and diseases for sweetpotato, banana, potato and cassava were estimated at 26%, 29%, 33%, and 36%, respectively, in Rwanda and 37%, 48%, 38%, and 37% in Burundi. Pests and diseases reduce the profitability of RTB crops, threaten food security, and constitute a disincentive for investment. Sustainable and affordable integrated pest management packages need to be developed.

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Li, Jinyang, Qingdao Huang, and Bing Liu. "An SI integrated pest management model with pesticide resistance to susceptible pests." International Journal of Biomathematics 13, no. 05 (May 28, 2020): 2050037. http://dx.doi.org/10.1142/s1793524520500370.

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In this paper, epidemic diseases among pests are assumed to occur, so pests are divided into susceptible pests and infected pests, and only susceptible pests are harmful to crops. Considering spraying pesticides and releasing of natural enemies and infected pests to control pests, as well as the long-term application of the same pesticide to induce resistance, an integrated pest management with pesticide resistance is established. The pollution emission model is introduced to model the action process of pesticides, which well reflects its residual and delay effects. By using comparison theorem of impulsive differential equation and analysis method, the threshold condition for eradication of susceptible pests is obtained. Then we analyze the frequency of spraying pesticide on the success of pests control. It shows that it is not that the more frequently pesticides are applied, the better the result of the susceptible pests control is. From the sensitivity analysis, the key factors on the threshold are obtained. Finally, the strategies to control susceptible pests are given, including switching pesticides and releasing infected pests and natural enemies elastically.

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Nur, Yohani Setiya Rafika, Auliya Burhanuddin, Dasril Aldo, and Widya Lelisa Army. "Sistem Pakar Deteksi Penyakit Bawang Merah dengan Metode Case Based Reasoning." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 3 (July 25, 2022): 1356. http://dx.doi.org/10.30865/mib.v6i3.4180.

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Shallots are tubers commonly consumed by Indonesians. Shallots are one of the three members of the Allium genus that are much-loved and have high economic value. In the process of cultivating shallots susceptible to pests and diseases. Onion caterpillars, leaf flies, earthworms, purpura, fusarium wilt, onion mosaic and leaf spot are some of the pests and diseases that often attack shallot plants. Farmers will immediately give pesticides or methods that are sometimes not suitable for pests and diseases that attack. As a result, maintenance is not optimal and new pests or diseases often arise. This study aims to help farmers find early symptoms of shallot pests and diseases, so that pest and disease control is more optimal and on target. Processed as many as 10 attack data using Case Based Reasoning method. This method will process data in the form of symptoms seen in shallots, so that they can detect types of pests and diseases of shallots and their handling steps with 100% accuracy. Therefore, this method is relevant for the identification of shallot disease

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Nindhy Prastiwi, Maulidina, Uky Uky Yudatama, and Nugroho Agung Prabowo. "Sistem Pakar Diagnosis Hama dan Penyakit pada Tanaman Bunga Sedap Malam dengan Dempster Shafer." Jurnal Komtika (Komputasi dan Informatika) 3, no. 2 (April 26, 2020): 40–45. http://dx.doi.org/10.31603/komtika.v3i2.3470.

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Nightly flower plants are one of the flower plants that are much in demand by the public. However, as time goes by the production of savory flower plants determines which one of the causes is caused by pests and diseases. Introduction of pests and diseases and its control sometimes not all farmers know it. This research develops an expert system that can help farmers diagnose pests and diseases that attack night flowering plants with the Dempster Shafer method. The results of this study are the application of an expert system that uses pests and tuberose flower diseases. This system will issue this edition to the publication of night flower pests and diseases inputted by users. The amount of this trust value is the result of calculations using the Dempster Shafer method. The conclusion in this study is that an expert system using the Dempster Shafer method for approval to release pests and diseases of the nightly flower plants is very helpful in overcoming the problem of improving the quality of the nightly flower production.

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Zhou, Leyun, and Yanhua Li. "Problems and Measures in the Prevention and Cntrol of Crop Diseases and Insect Pests." 城市建设理论研究—园林景观 5, no. 1 (2020): 13–15. http://dx.doi.org/10.26789/yljg.2020.01.005.

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Based on the characteristics and current situation of crop diseases and insect pests, this paper analyzes the problems of farmers’ lack of awareness of prevention and control, blind introduction of quarantine pests that lead to the spread of quarantine pests, and lack of advanced pest control technology in the prevention and control of crop diseases and pests. , For reference and reference.

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Turkensteen, L. J. "SURVEY OF DISEASES AND PESTS IN AFRICA: FUNGAL AND BACTERIAL DISEASES." Acta Horticulturae, no. 213 (September 1987): 151–60. http://dx.doi.org/10.17660/actahortic.1987.213.16.

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Ren, Yifeng, Qingyan Li, and Zhe Liu. "The Fast Detection of Crop Disease Leaves Based on Single-Channel Gravitational Kernel Density Clustering." Applied Sciences 13, no. 2 (January 15, 2023): 1172. http://dx.doi.org/10.3390/app13021172.

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Plant diseases and pests may seriously affect the yield of crops and even threaten the survival of human beings. The characteristics of plant diseases and insect pests are mainly reflected in the occurrence of lesions on crop leaves. Machine vision disease detection is of great significance for the early detection and prevention of plant diseases and insect pests. A fast detection method for lesions based on a single-channel gravitational kernel density clustering algorithm was designed to examine the complexity and ambiguity of diseased leaf images. Firstly, a polynomial was used to fit the R-channel feature histogram curve of a diseased leaf image in the RGB color space, and then the peak point and peak area of the fitted feature histogram curve were determined according to the derivative attribute. Secondly, the cluster numbers and the initial cluster center of the diseased leaf images were determined according to the peak area and peak point. Thirdly, according to the clustering center of the preliminarily determined diseased leaf images, the single-channel gravity kernel density clustering algorithm in this paper was used to achieve the rapid segmentation of the diseased leaf lesions. Finally, the experimental results showed that our method could segment the lesions quickly and accurately.

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Bayu, Marida Santi Yudha Ika, Yusmani Prayogo, and Gatut Wahyu Anggoro Susanto. "INTEGRATED BIOLOGICAL TECHNOLOGY TO CONTROL MUNGBEAN PESTS AND DISEASES." Indonesian Journal of Agricultural Science 22, no. 1 (July 9, 2021): 8. http://dx.doi.org/10.21082/ijas.v22n1.2021.p8-16.

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The main constraints to increase mungbean production in Indonesia are pests and diseases. The application of integrated biological agents can improve the efficacy of controlling the mungbean pests and diseases. The study aimed to determine the efficacy of integrated biological agents to suppress mungbean pests and diseases. This field research was conducted from May to July 2018 using a randomized block design with seven treatments and four replicates. The treatments were: T1 = Trichol + NSP, T2 = Trichol + SlNPV, T3 = Trichol + NSP + SlNPV, T4 = Trichol + NSP + SlNPV + BeBas, T5 = Trichol + NSP + SlNPV + BeBas + GE, T6 = chemical pesticides, and T7 = control. The results showed that the highest efficacy occurred in T4 and T5 treatments which saved the yield loss from major pests and diseases attack, and did not differ significantly with chemical pesticides (T6). Treatments T4 was able to reduce the development of soil borne diseases by 3% and suppress Spodoptera litura attack by 9.8% as compared to chemical treatment. T4 was also more efficient than T5 because it uses less biological agents. The advantage of biological agents is compatible if they were used together with predators such as Oxyopes sp., Paederus sp. and Coccinella sp; and also Telenomus sp. and Trichogramma sp. parasitoids. On the other hand, the chemical pesticides (T6) killed all existing natural enemies. Therefore, T4 could be recommended for controlling mungbean pests and diseases.

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Mohapatra, SD, Amrita Banerjee, RK Senapati, G. Prasanthi, Minati Mohapatra, PK Nayak, AK Nayak, and D. Maiti. "Current status and future prospects in biotic stress management in rice." Oryza-An International Journal on Rice 58, Special (April 22, 2021): 168–93. http://dx.doi.org/10.35709/ory.2021.58.spl.7.

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Insect pests and diseases are the major biotic constraints in rice production. According to the ecosystem, the incidence of insect pests and diseases vary. The degree of loss due to different biotic stresses differ widely depending upon the predominant factors of abundance of these pests in a particular year, season or locality. Though around 800 insect species damaging rice in one way or another, the majority of them do very little damage. In India, about a dozen of insect species are of major pest status. Farmers bear an estimated average of 37% losses in rice crop due to insect pests and diseases every year. This review focuses on status of insect pests and diseases, extent of losses, different tools used in pest monitoring and management in rice. Among the important pest management tools used in rice pest and diseases management are forecasting model for real-time pest-advisory services, light trap, hyper-spectral remote sensing, computer-based decision support system, disruptive technologies (mobile apps).

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Md Sabtu, Norraisha, Mohamad Hafis Izran Ishak, and Nurul Hawani Idris. "THE SPATIAL EPIDEMIOLOGY OF JACKFRUIT PEST AND DISEASES: A REVIEW." International Journal of Built Environment and Sustainability 6, no. 1-2 (April 1, 2019): 169–75. http://dx.doi.org/10.11113/ijbes.v6.n1-2.395.

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Jackfruit is identified as targeted produced for premium fruit and vegetable (EPP 7). Meanwhile in Johor, jackfruit is the third biggest fruit produced in 2016. Jackfruit contains a lot of benefits which certainly good for living things and have been used in various sector such as medicine, food, anti-bacterial and anti-oxidant, antifungal effect, immunomodulatory effect and else. However, the existence of pests and diseases have threatened the productivity of jackfruit plant particularly in tropical countries including Malaysia. There are many factors that can affect the occurrence of pests and plant diseases of jackfruit such as shoot borers, bark borers, mealy bug and scale insects, blossoms and fruit rots and bacterial die-back. Several studies have been devoted to model the plant pests and diseases epidemiology, though the contexts that focus in tropical environment and jackfruit plant are limited. Therefore, this paper aims to discuss abiotic factors and spatial methods that have been used to define dispersal pattern and relationship between abiotic factors including major climatic variables with plant pests and diseases occurrence data, particularly in tropical climate. This paper could be used as a basis to understand the epidemiological models in combating pest and plant disease and to support towards the effective management of jackfruit pests and diseases in tropical countries, particularly Malaysia.

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WAHYUN, WIWIN CINDYTIA, and ARJON SAMUEL SITIO. "Pest Detection Expert System And Method Using Bayes Rice Diseases." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 2 (June 1, 2020): 313–19. http://dx.doi.org/10.47709/cnapc.v2i2.411.

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Indonesia is included in an agricultural country that is rich in agriculture, fertile land in Indonesia allows for the growth of various types of plants, one of which is rice. But in the cultivation of rice plants, it will never be separated from pests and diseases of rice plants, so that the growth of rice plants is not optimal. Due to the large number of pests and diseases that can attack rice plants, it is necessary to take proper care in dealing with pests and diseases of rice plants to avoid losses that can result in reduced production of rice plants. Therefore an expert system was created which was expected to help farmers in consulting about diseases and pests contained in their rice plants to the experts without having to meet with experts directly. In its identification, the expert system for diagnosing ahama and rice disease uses the Bayes method and uses the Website in its implementation.

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Shyta, О. "The potato protection from major pests and diseases." Karantin i zahist roslin, no. 1-2 (January 20, 2019): 18–21. http://dx.doi.org/10.36495/2312-0614.2019.1-2.18-21.

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Goal. To study the effectiveness of pesticides in protecting potato plantations from major pests and diseases. Methods. Comparative, analytical and field. Results. The data of technical and economic efficiency of pesticides against the main pests and diseases of potatoes are given. It was noted that the most effective against the complex of pests were drugs from the group of neocotinoids, and against diseases — fungicides of systemic and systemic contact action of various classes of chemical compounds. Conclusions. The most common potato diseases during the growing season of the crop were Alternaria and blight, the development of which in 2016—2017. amounted to 12.6—36.4% and 10.6—48.6%, respectively. Two spraying of potatoes with fungicides ensured technical effectiveness against Alternaria — 26.4—64.8%, against late blight — 24.3—53.9%. The main disease of potato tubers in 2017—2018 there was a common scab, the proportion of which in the control was 15.6%, and in the variants with the use of disinfectants — 5.4—8.6% of the total mass of the infected tubers. Dry Fusarium rot in the variants of the experiment was 2.5—2.8%, in the control — 9.3%. The number of bastards damaged by wireworms in the control was 7.2%, in the variants with the use of insecticidal and insecticidal and fungicidal disinfectants — 1.0—2.2%. It was established that the treatment of tubers with insecticidal and insecticide antifungal preparations against the Colorado potato beetle was effective for 40—50 days after planting potatoes, and further it is necessary to additionally spray it with insecticide.

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Kosylovych, H., and Yu Holiachuk. "Protection of winter wheat from diseases and pests." Vìsnik Lʹvìvsʹkogo nacìonalʹnogo agrarnogo unìversitetu. Agronomìâ, no. 23 (September 1, 2019): 159–63. http://dx.doi.org/10.31734/agronomy2019.01.159.

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Gupta, R. P., K. J. Srivastava, and U. B. Pandey. "DISEASES AND INSECT PESTS OF ONION IN INDIA." Acta Horticulturae, no. 358 (March 1994): 265–70. http://dx.doi.org/10.17660/actahortic.1994.358.43.

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Mridha, M. A. U., and F. N. Barakah. "Diseases and pests of moringa: a mini review." Acta Horticulturae, no. 1158 (April 2017): 117–24. http://dx.doi.org/10.17660/actahortic.2017.1158.14.

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Kalykova, G. N., I. K. Kupsuralieva, and A. O. Sagitov. "PESTS AND DISEASES OF SEMYONOV FIRS IN KYRGYZSTAN." REPORTS OF THE NAS RK 1, no. 341 (March 10, 2022): 21–26. http://dx.doi.org/10.32014/2022.2518-1483.128.

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Nuraliyev, Xamra Xaydaraliyevich, Gulasal Nurilloyevna Sulaymonova, Baxrullo Fayzulloyevich Goibov, and Muxlisa Shuxrat qizi Yusupova. "PREVENTION AND CONTROL OF TOMATO DISEASES AND PESTS." Theoretical & Applied Science 104, no. 12 (December 30, 2021): 453–56. http://dx.doi.org/10.15863/tas.2021.12.104.37.

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Prasad, Durga, and Ramji Singh. "Diseases, moulds, insect-pests and mites of mushroom." INTERNATIONAL JOURNAL OF PLANT PROTECTION 13, no. 2 (October 15, 2020): 211–26. http://dx.doi.org/10.15740/has/ijpp/13.2/211-226.

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Mushroom is defined as macro-fungus with distinctive edible fruiting body which can be either epigeous or hypogeous. Cultivation of edible mushrooms carries great relevance in todays’ world in the context of a burgeoning population growth and extreme pressure on the environment. Mushrooms are highly nutritious and environment friendly crops that carry numerous medicinal benefits. The intensive cultivations of edible mushrooms can often be affected by several insect-pests and diseases caused by fungi, bacteria, viruses, nematodes etc. that rather frequently cause dramatic production loss. The market price of edible mushrooms is also reduced due mould’s contaminations. These infestations, infections and contaminations are facilitated by the particular environmental conditions under which mushroom cultivation is commonly carried out. There is not much bibliographic information related to such stresses of mushrooms and their management. The updated review presents a practical checklist of diseases and pests of the mushroom, providing useful information that may help different users.

Journal articles on the topic 'Diseases and pests'

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