Academic literature on the topic 'Classes of pests'

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Journal articles on the topic "Classes of pests"

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Makhmudova, Shahnoza, and Khonoyim Ergasheva. "Main pests of mung bean and the effectiveness of chemicals use in pest management." E3S Web of Conferences 284 (2021): 03020. http://dx.doi.org/10.1051/e3sconf/202128403020.

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In this paper, our studies have shown that a total of 27 species of pests belonging to 7 classes of 2 genus occur and cause damage in replanted mung bean agrobiocenosis. The highest biological efficiency in the cultivation of alfalfa in Mung bean is Entolucho 20% - 0.3 l/ha, Bagira 20% -0.3 l/ha, Karache Duo 25% - 0.3 l/ha. When using chemicals in the amount of BI-58 (new) 40% - 1.0 l/ha, Imidogold 35% - 0.25 l, Lamdex SC 5% - 0.5 l/ha against bruxus, more than 85-90% biological efficiency was achieved in our research.
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Resti, Yulia, Desi Herlina Saraswati, Des Alwine Zayanti, and Ning Eliyati. "CLASSIFICATION OF DISEASES AND PESTS OF MAIZE USING MULTINOMIAL LOGISTIC REGRESSION BASED ON RESAMPLING TECHNIQUE OF K-FOLD CROSS-VALIDATION." Indonesian Journal of Engineering and Science 3, no. 3 (2022): 069–76. http://dx.doi.org/10.51630/ijes.v3i3.83.

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Some of the obstacles in the cultivation of maize that cause low productivity of maize yields are diseases and pests. Early detection of maize diseases and pests is expected to reduce farmer losses. A system for the early detection of diseases and pests can be created by classifying them based on digital images. This study aimed to classify maize diseases and pests using multinomial logistic regression. The model and testing resampling were based on resampling technique of k-fold cross-validation. The research data was obtained from the RGB color feature extraction process for each object in e
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Toyoda, Hideyoshi. "Electrostatic Techniques for Physically Managing Pathogens, Insect Pests, and Weeds in Field and Greenhouse Cropping Systems." Agronomy 13, no. 12 (2023): 2855. http://dx.doi.org/10.3390/agronomy13122855.

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Dimas Saputra, Archamul Fajar Pratama, Muhammad Dawam Fakhri, Muhammad Ahsanur Rafi, and Fetty Tri Anggraeny. "CLASSIFICATION OF INSECT PESTS IN AGRICULTURE USING INCEPTION-RESNET-V2 ARCHITECTURE." Antivirus : Jurnal Ilmiah Teknik Informatika 19, no. 1 (2025): 41–51. https://doi.org/10.35457/antivirus.v19i1.4107.

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Object recognition in images is a major challenge in digital image processing with wide applications, including agriculture. This research aims to develop a Convolutional Neural Network (CNN) model based on the Inception-ResNet-V2 architecture for insect pest classification in agriculture. The dataset contains 1,591 images from 13 pest classes, which were processed through preprocessing stages such as resizing, normalization, and augmentation to enhance data quality and variation. The model training process was conducted for 10 epochs, resulting in an accuracy of 89.52% with a loss of 0.4024.
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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 (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 knowle
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Bondarenko, I. V., N. P. Sekun, and O. G. Vlasova. "The pests of grain of spiked cultures during storage." Interdepartmental Thematic Scientific Collection of Plant Protection and Quarantine, no. 62 (September 3, 2016): 64–71. http://dx.doi.org/10.36495/1606-9773.2016.62.64-71.

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The results of monitoring of species composition and relative quantity insects and mites — pests and polluters of grain of spiked cultures during storage were presented. Detected 80 species of insects and mites, which belong to two classes, 7 orders and 30 families. The dominant species among them were identified. It was agreed, that level of occupancy and contamination of grain related to the temperature and moisture of environment, grain and stored culture.
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Siahaan, Parluhutan, Saroyo Saroyo, Agustina Monalisa Tangapo, and Susan Marlein Mambu. "Diversity of Pests and Natural Enemies in Rice Fields in Kiniar Village, East Tondano District, North Sulawesi-Indonesia." Journal of Applied Agricultural Science and Technology 8, no. 2 (2024): 200–210. http://dx.doi.org/10.55043/jaast.v8i2.226.

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A study was conducted in Kiniar Village, East Tondano District, North Sulawesi, to investigate the variety of pests and their natural adversaries in rice fields. The primary objective of this research was to ascertain the count of insect that act as pests, the number of natural enemy, diversity index, dominance index, and species relative abundance of insect pests and natural enemies in rice fields in Kiniar Village. The results showed that there are 40 insects and spider from 29 families and eight orders in local rice cultivation in Kiniar Village. These species were further categorized into
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Haider, Zeeshan Ali, Fida Muhammad Khan, Inam Ullah Khan, Muhammad Ali Khan, and Rahim Khan. "Early Detection and Prediction of Pests in Field Crops Using Transfer Learning." VFAST Transactions on Software Engineering 12, no. 3 (2024): 98–113. http://dx.doi.org/10.21015/vtse.v12i3.1874.

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This research study addresses the problem of early detection and prediction of pests in field crops. The primary objective of this research is to identify and distinguish pest species from an open-source dataset that includes 5,494 images across 12 classes. We developed an efficient model with a high probability of detecting pests in field crops using pre-trained models such as EfficientNetV2 and deep learning techniques. We applied hyperparameter tuning to the model to enhance its accuracy. Our proposed model is designed to detect and predict pests at an early stage, thereby preventing crop d
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Gomes, Jacó C., and Díbio L. Borges. "Insect Pest Image Recognition: A Few-Shot Machine Learning Approach including Maturity Stages Classification." Agronomy 12, no. 8 (2022): 1733. http://dx.doi.org/10.3390/agronomy12081733.

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Recognizing insect pests using images is an important and challenging research issue. A correct species classification will help choosing a more proper mitigation strategy regarding crop management, but designing an automated solution is also difficult due to the high similarity between species at similar maturity stages. This research proposes a solution to this problem using a few-shot learning approach. First, a novel insect data set based on curated images from IP102 is presented. The IP-FSL data set is composed of 97 classes of adult insect images, and 45 classes of early stages, totallin
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Lima, Alessandra R., Lucas D. Dias, Matheus Garbuio, Natalia M. Inada, and Vanderlei S. Bagnato. "A look at photodynamic inactivation as a tool for pests and vector-borne diseases control." Laser Physics Letters 19, no. 2 (2022): 025601. http://dx.doi.org/10.1088/1612-202x/ac4591.

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Abstract The control of pests and vector-borne diseases (VDBs) are considered public health issues Worldwide. Among the control techniques and pesticides used so far, photodynamic inactivation (PDI) has been shown as an eco-friendly, low cost, and efficient approach to eliminate pests and VDBs. PDI is characterized using a photosensitizing molecule, light and molecular oxygen (O2) resulting in production of reactive oxidative species which can promote the oxidation of biomolecules on pests and vectors. Herein, we review the past 51 years (1970–2021) regarding the use of photo pesticides, repor
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Dissertations / Theses on the topic "Classes of pests"

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Titecat, Marie. "Evaluation d’une nouvelle classe d’antibiotiques : les inhibiteurs de LpxC." Thesis, Lille 2, 2016. http://www.theses.fr/2016LIL2S038.

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L’émergence et la diffusion de la résistance aux antibiotiques au sein des bactéries à Gram négatif (BGN) sont aujourd’hui des enjeux de Santé Publique nationaux et internationaux. La multi-résistance aux antibiotiques concerne non seulement des espèces fréquemment responsables d’infections nosocomiales mais aussi des espèces hautement virulentes comme Yersinia pestis, agent de la peste et du bioterrorisme. Dans ce contexte, la mise au point de nouvelles molécules actives sur d’autres cibles bactériennes est primordiale. La métallo-enzyme LpxC catalyse la première étape irréversible de la bios
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Coetzee, Jani. "Exploring the influence of pet assisted activities on aggressive behaviour amongs grade R learners." Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71715.

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Thesis (MEd)--Stellenbosch University, 2012.<br>Bibliography<br>ENGLISH ABSTRACT: As a grade R teacher in South Africa, the researcher was disturbed by the extent of aggressive behaviour amongst children (aged 4 years to 6 years). Other teachers involved with the same class were of the opinion that the aggressive behaviour had a detrimental effect on their instructional time and motivation. Schools, teachers and other support personnel of staff have developed many cognitive and social support programmes to encourage positive behaviour, including reducing aggressiveness. Some programmes are in
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Books on the topic "Classes of pests"

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Perényi, Roland. Budai "bürger", pesti polgár: Polgári értékrend, polgári mentalitás a 19. századi Pest-Budán. Budapesti Történeti Múzeum, 2010.

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Camus, Albert. La peste. Gallimard, 1996.

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Camus, Albert. La peste. Routledge, 1991.

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Camus, Albert. La peste. Libresa, 1990.

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Camus, Albert. La peste. Gallimard, 1990.

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Camus, Albert. La peste. L'Avant-scène, 1994.

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Camus, Albert. La peste. Gallimard, 1992.

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Camus, Albert. La peste. Gallimard, 1990.

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Camus, Albert. Die Pest. Rowohlt Verlag, 1998.

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Camus, Albert. Die Pest: Roman. Rowohlt, 1994.

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Book chapters on the topic "Classes of pests"

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Mondière, Régis, and Fides Benfatti. "Pyrethroid Esters for the Control of Insect Pests." In Bioactive Carboxylic Compound Classes: Pharmaceuticals and Agrochemicals. Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527693931.ch34.

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Nachman, Ronald J. "Agonists/Antagonists of the Insect Kinin and Pyrokinin/PBAN Neuropeptide Classes as Tools for Rational Pest Control." In Biorational Control of Arthropod Pests. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2316-2_2.

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Rizzo, Maria, and Patrizia Gasparini. "Forest Health." In Springer Tracts in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98678-0_10.

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AbstractForests mainly consist of long-lived trees or shrub species and are exposed to natural or human disturbances of different severities. They are essential components of the natural development of forest ecosystems, since by triggering natural selection and ecological succession processes, they can achieve the best status in terms of species composition and structure. Nevertheless, extreme events can cause serious economic or naturalistic losses and, in some cases, endanger specific forest ecosystems. Disturbance events that damage forests vary and include pests and diseases, fires, pollu
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Nachman, R. J. "Insect Gpcrs and Development of Mimetic Analogs of the Insect Kinin, Pyrokinin-Like, and Sulfakinin Neuropeptide Classes as Pest Management Tools." In Advances in Invertebrate (NEURO)Endocrinology. Apple Academic Press, 2020. http://dx.doi.org/10.1201/9781003029861-8.

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Tadesse Mawcha, Kahsay, Grace Kinyanjui, Stella W. Simiyu, Olubukola Oluranti Babalola, and Dennis Obonyo Ndolo. "Biopesticides for Sustainable Agriculture: A Review of Their Role in Integrated Pest Management." In Insecticides in Pest Control - Impact, Challenges and Strategies [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1006277.

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Biopesticides include living organisms or products derived from natural sources, like genes and metabolites or natural-identical synthetic sources, that can be used to control pests. They are valuable pest management tools in sustainable agriculture. They protect crops from a wide range of pests and diseases while exhibiting specificity against target organisms and with minimal environmental impact. Incorporation of biopesticides into integrated pest management (IPM) programs provides a more holistic approach for growers to maximize crop yields, reduce overreliance on chemical pesticides, safe
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Asamani, Ebenezer, Jerry Asalma Nboyine, Peter Quandahor, Philip Agrengsore, and Joseph Adomako. "Pest Management in Sub-Saharan Africa: Mitigating the Challenges of Insecticides Use." In Insecticides in Pest Control - Impact, Challenges and Strategies [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1006497.

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Intensification of agricultural production practices has led to monocultures of crop varieties over large areas of land. This has elevated many insects to economic pests’ status. In these systems, farmers typically rely on insecticides to mitigate the damaging effects of insect pests. Although all insecticides have negative human and environmental health consequences when applied, the severity of the impact differs depending on the toxicity of their technical compound and on its formulation. Thus, the World Health Organization (WHO) recognizes five insecticide classes: (Ia) extremely hazardous
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Hristova-Cherbadzhi, Miroslava. "Pesticides and Sunflower Breeding." In Pesticides [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104478.

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The amount and quality of yields depend on the successful protection of crops from diseases, pests, weeds, and abiotic factors. The sunflower is a plant in which most diseases and pests are overcome genetically. The chemical method is also used in the production of sunflower, but it is important to say that there are still no genetically modified (GM) sunflowers on the market. By applying the classical breeding methods, new sunflower elite inbreed B lines that are resistant to two classes of herbicides (imidazolinones and sulfonylureas) were received. The aim of this study is to summarize the
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Aboul-Ela, M. B. "Domesticated livestock and indigenous animals in Egyptian agriculture." In The Agriculture Of Egypt. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198592037.003.0004.

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Abstract With the intensive agricultural system applied in Egypt, cultivable land is utilized all the year round. With a rapidly growing human population, which had increased to about 57 million in 1992, domesticated livestock species have special importance as the main source of animal protein. A wide range of indigenous animal species is also present in Egypt. Representatives of most of the known classes of insect pests have significant relevance to crop productivity, while vertebrate pests such as birds and rodents have always been regarded as a serious threat to crop production. The sea ar
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Cowger, Christina. "Key challenges in breeding durable disease-resistant cereals: North America." In Achieving durable disease resistance in cereals. Burleigh Dodds Science Publishing, 2021. http://dx.doi.org/10.19103/as.2021.0092.37.

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This chapter first describes the challenges of diverse climates, diseases, and market classes that face North American small-grain cereal breeders and producers. It discusses the challenges inherent in the complex systems of cereal breeding on the continent, and the changing resistance priorities brought about by shifting pathogen races and production practices. The remainder of the chapter is devoted (in rough order of priority) to the status and prospects for durable resistance to the main pests currently confronting the continent: Fusarium head blight, rusts, powdery mildew, leaf (and glume
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Chaudhary, Sorabh, Sunil Kumar Yadav, Pankaj Verma, Sushma Sagar, and Mehi Lal. "Botanical Insecticides for Crop Protection: Major Classes and Possible Mechanisms of Action." In Insecticides in Pest Control - Impact, Challenges and Strategies [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1006743.

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Botanical insecticides, derived from plant-based bioactive compounds with insecticidal activities, have been used to protect crops for more than a century. Synthetic insecticides have become essential in modern agricultural practices because they act quickly, are cost-effective, easy to use, and effective against a wide range of harmful species of insects and pests. Synthetic insecticides, once beneficial, have now become a threat to human health and the environment due to their toxic nature and environmental impact, and hence, botanical pesticides can be utilized as a substitute to synthetic
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Conference papers on the topic "Classes of pests"

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Jaya, V. Durga, and N. Poornima. "Pest Classification with Deep Learning and ReactJS." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-f43wx1.

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Pests are the biggest problems faced by farmers. The main objective of Pest classification with deep learning and ReactJS paper is to create a website that takes in input in the form of images from the user and tries to classify them into various pests (mainly 9 different classes). For the classification of pests, three deep learning models were chosen and trained. Their performance is compared and the best performing model is deployed in a form of a website with a good and intuitive user interface. The user interface was created with React (javascript framework), Sass, and TensorFowJS (A deep
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Kobayashi, Felipe Kawashita, Andrea Britto Mattos, Maysa M. G. Macedo, and Bruno H. Gemignani. "Citrus Tree Classification from UAV Images: Analysis and Experimental Results." In XV Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wvc.2019.7624.

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The use of unmanned aerial vehicles (UAVs) and computer vision for automating farm operations is growing rapidly: time-consuming tasks such as crop monitoring may be solved in a more efficient, precise, and less error-prone manner. In particular, for estimating productivity and managing pests, it is fundamental to characterize crop regions into four classes: (i) full-grown trees, (ii) tree seedlings, (iii) tree gaps, and (iv) background. In this paper, we address the classification of images from citrus plantations, acquired by UAVs, into the previously mentioned categories. While Deep learning-
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Crucean, Stefan. "Principalii dăunători ale culturii nucifere din clasa Arachnida și manifestarea efectelor negative ale acestora." In International Scientific Symposium "Plant Protection – Achievements and Prospects". Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2020. http://dx.doi.org/10.53040/9789975347204.04.

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This material results from the research of the nut culture in order to identify pathogenic organisms of the class Arachnida and to represent the effects of these organisms on tree organs. The research was made at the Botanical Garden Institute, Chișinău on a number of 300 trees. This paper includes the identification of the main pests of the class Arachnida, namely: the gall mite of walnut leaves (Aceria tristriata) and the disease named walnut blister mine caused by Aceria erinea. At the same time, the methods of pest control and the negative effects of their presence are exposed here.
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Solera, Valentina. "Living Aboard with Kids and Pets." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100722.

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This research has a key focus on yachting as a popular family recreation with the middle classes that explains how the performance of the yachting industry remained stable vis-à-vis the luxury segment during this economic crisis. Today, the average middle class family has two children, and companion animals are an integral part of this organization. Animals and children share similar ergonomics, psychology ad behaviors, which facilitates the definition of ad-hoc designs for both. Good ergonomics in yacht design enhances the enjoyableness of the yachting experience for families and pets. The bo
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Goldbarg, Mateus A. S. de S., Sérgio N. Silva, Lucileide M. D. da Silva, and Marcelo A. C. Fernandes. "Estratégia de Treinamento para Poda Consciente de Modelo de CNN Aplicado a Classificação de Imagens." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/eniac.2023.234645.

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Este artigo apresenta uma nova estratégia de treinamento para compressão de modelos de redes neurais convolucionais (Convolutional Neural Networks - CNN). A estratégia proposta utiliza um esquema de poda consciente dos pesos da CNN, diferenciando-se das abordagens convencionais. Neste trabalho, a poda consciente é aplicada de forma contínua durante todo o processo de treinamento, em todos os mini-batches. A estratégia foi aplicada em um problema de classificação de 10 mil imagens, pertencentes a 10 classes diferentes, utilizando o dataset CIFAR-10. Os resultados obtidos demonstraram que foi po
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Brandão, Maicon, Marcelo Acordi, and Guilherme Dal Bianco. "Uma Proposta para Redução do Conjunto de Treinamento Utilizando Aprendizagem Ativa." In Escola Regional de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/erbd.2023.229494.

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Métodos supervisionados são comumente utilizados em inúmeras tarefas como na classificação de informações. Porém, a aprendizagem do método supervisionado depende da criação de um conjunto de treinamento rotulado capaz de representar os padrões presentes na base de dados. Identificar exemplos informativos e representativos pode representar uma redução de custos. Neste contexto, a aprendizagem ativa tem como objetivo selecionar instâncias mais informativas para serem rotuladas a fim de se reduzir o conjunto de treinamento. Este artigo tem como objetivo propor pesos para um algoritmo de aprendiza
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Goberski, Jennifer Mayara de Paiva, João Vitor Maciel de Brito, Marcel Antunes Raposo, Vinicius Dionizio Patrocinio, and Leonardo Gomes Tavares. "Estudo Comparativo de Algoritmos de Classificação de Imagens na Identificação de Pneumonia em Raios-x Pulmonares." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2024. https://doi.org/10.5753/sibgrapi.est.2024.31666.

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Este trabalho apresenta uma análise comparativa de diferentes modelos de técnicas de aprendizado de máquina para a classificação binária de imagens de raio-x pulmonares a fim de de identificar a presença ou ausência de pneumonia. Utilizando uma base de dados pré-processada, que incluiu normalização e balanceamento de classes, foram aplicadas técnicas de data augmentation e pesos de classe para otimizar o treinamento dos modelos. Entre os modelos clássicos avaliados, como Regressão Logística, Árvore de Decisão, SVM, MLP e Random Forest, a SVM destacou-se com a melhor performance, obtendo uma po
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Shishkin, A. M., and I. S. Koshegarov. "MACHINES AND MECHANIC MEANS FOR FOREST PROTECTION FROM PESTS AND DISEASES IN THE REPUBLIC OF KAZAKHSTAN." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS Volume 2. DSTU-Print, 2020. http://dx.doi.org/10.23947/interagro.2020.284-286.

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The article presents a modern set of machines, mechanization tools and equipment for protecting the forest from pests and diseases in the Republic, the name and brand of machines, the traction class of the tractor with which these machines or their electric drive are aggregated. The main technical parameters are: performance per 1 hour / shift, total machine weight (kg), maintenance personnel, unit width (m) and tank capacity (l), if included in the design of the machine. Some list and conditions for performing technological works are also shown.
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Chang, Ting-Wei, Sheng-Hann Wang, Iuan Sheau Chin, et al. "Insect Odorant Binding Protein 2 Integrated with Flow Digital Nanoplasmon-metry for Neonicotinoid Pesticide Residues Sensing in Beverages." In Optical Manipulation and Its Applications. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/oma.2023.am2d.4.

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Neonicotinoid is one class of the most used pesticides to repel pests. They demonstrated good efficiency but meanwhile pollute the ecosystem. Therefore, its abuse is an ever-thorny problem. Furthermore, since the multi-pesticide association is commonly used for high-efficient crop protection from pests in farms, quickly screening the pesticide contamination sorted by class is much more efficient and more accessible for on-site use. In this work, a novel and promising strategy that incorporated the neonicotinoid-specific odorant binding protein 2 (OBP2) with ultra-sensitive local surface plasmo
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Medeiros, Luciano J. D., Ewerton F. S. Silva, Christopher H. Scheibel, et al. "CNN aplicada às imagens CBERS-4A e PlanetScope para identificação e mapeamento de plantas daninhas em áreas de plantio com cana-de-açúcar." In Congresso Brasileiro de Agroinformática. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/sbiagro.2023.26574.

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O setor sucroalcooleiro alagoano tem passado de rudimentar para altamente informatizado. Este artigo teve como objetivo aplicar dados de sensoriamento remoto e algoritmos baseados em CNN para identificar plantas daninhas em áreas de cana-de-açúcar no estado de Alagoas. Os resultados mostraram alta acurácia para o treinamento, porém para classificação será necessária uma adequação para as imagens tipo AnalyticMS_SR (PlanetScope). Uma das maneiras de melhorar esses resultados é melhorar a obtenção de novas amostras para as classes que apresentaram confusões e um novo treinamento para extração e
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Reports on the topic "Classes of pests"

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Chejanovsky, Nor, and Bruce D. Hammock. Enhancement of Baculoviruses' Insecticidal Potency by Expression of Synergistic Anti-Insect Scorpion Toxins. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7573070.bard.

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The extensive use or non-specific, hazardous, chemical insecticides demands the development of "healthier" alternative means for pest control. Insect-specific, baculoviruses expressing anti-insect toxin genes (from mites or scorpions) demonstrated in laboratory assays and field trials enhanced insecticidal activity and provided some protection from lepidopterous larvae to agricultural plantations. To utilize recombinant baculoviruses as commercial biopesticides in row crop agriculture, further increase in their speed of kill should be achieved and the reduction in crop damage should be compara
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Emma, Olsson. Kolinlagring med biokol : Att nyttja biokol och hydrokol som kolsänka i östra Mellansverige. Linköping University Electronic Press, 2025. https://doi.org/10.3384/9789180759496.

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Pest inventory of a field is a way of knowing when the thresholds for pest control is reached. It is of increasing interest to use machine learning to automate this process, however, many challenges arise with detection of small insects both in traps and on plants. This thesis investigates the prospects of developing an automatic warning system for notifying a user of when certain pests are detected in a trap. For this, sliding window with histogram of oriented gradients based support vector machine were implemented. Trap detection with neural network models and a check size function were test
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Jander, Georg, and Daniel Chamovitz. Investigation of growth regulation by maize benzoxazinoid breakdown products. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600031.bard.

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Introduction Previous research had suggested that benzoxazinoids, a class of defensive metabolites found in maize, wheat, rye, and wild barley, are not only direct insect deterrents, but also influence other areas of plant metabolism. In particular, the benzoxazinoid 2,4-dihydroxy-7-methoxy-2H-1,4-benzoxa- zin-3(4H)- one (DIMBOA) was implicated in: (i) altering plant growth by interfering with auxin signaling, and (ii) leading to the induction of gene expression changes and secondary plant defense responses. The overall goal of this proposal was to identify mechanisms by which benzoxazinoids i
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Rafaeli, Ada, and Russell Jurenka. Molecular Characterization of PBAN G-protein Coupled Receptors in Moth Pest Species: Design of Antagonists. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7593390.bard.

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The proposed research was directed at determining the activation/binding domains and gene regulation of the PBAN-R’s thereby providing information for the design and screening of potential PBAN-R-blockers and to indicate possible ways of preventing the process from proceeding to its completion. Our specific aims included: (1) The identification of the PBAN-R binding domain by a combination of: (a) in silico modeling studies for identifying specific amino-acid side chains that are likely to be involved in binding PBAN with the receptor and; (b) bioassays to verify the modeling studies using mut
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Rafaeli, Ada, Russell Jurenka, and Chris Sander. Molecular characterisation of PBAN-receptors: a basis for the development and screening of antagonists against Pheromone biosynthesis in moth pest species. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695862.bard.

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The original objectives of the approved proposal included: (a) The determination of species- and tissue-specificity of the PBAN-R; (b) the elucidation of the role of juvenile hormone in gene regulation of the PBAN-R; (c) the identificationof the ligand binding domains in the PBAN-R and (d) the development of efficient screening assays in order to screen potential antagonists that will block the PBAN-R. Background to the topic: Moths constitute one of the major groups of pest insects in agriculture and their reproductive behavior is dependent on chemical communication. Sex-pheromone blends are
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Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593398.bard.

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The general objective of this study was to develop rationally designed mimetic antagonists (and agonists) of the PK/PBAN Np class with enhanced bio-stability and bioavailability as prototypes for effective and environmentally friendly pest insect management agents. The PK/PBAN family is a multifunctional group of Nps that mediates key functions in insects (sex pheromone biosynthesis, cuticular melanization, myotropic activity, diapause and pupal development) and is, therefore, of high scientific and applied interest. The objectives of the current study were: (i) to identify an antagonist bioph
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