Academic literature on the topic 'Cashew'
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Journal articles on the topic "Cashew"
Griffin, Laura Elizabeth, and Lisa Louise Dean. "Nutrient Composition of Raw, Dry-Roasted, and Skin-On Cashew Nuts." Journal of Food Research 6, no. 6 (September 26, 2017): 13. http://dx.doi.org/10.5539/jfr.v6n6p13.
Full textKurniawan, Ade Putra, Ferly Eka Kerniati, and Andre Rachmat Scabra. "Peningkatan Nilai Jual Biji Mete Hasil Produksi Masyarakat Desa Gumantar Kabupaten Lombok Utara." Jurnal SIAR ILMUWAN TANI 1, no. 1 (May 20, 2020): 8–12. http://dx.doi.org/10.29303/jsit.v1i1.3.
Full textWitjaksono, Julian, Rusdin, Dahya, Entis Sutisna, Rita Indrasti, Siti Sehat Tan, Chandra Indrawanto, et al. "A REVIEW OF THE SMALLHOLDER CASHEW NUT PROCESSING INDUSTRY IN INDONESIA AND ITS SUSTAINABILITY." Journal of Southwest Jiaotong University 57, no. 4 (August 29, 2022): 58–70. http://dx.doi.org/10.35741/issn.0258-2724.57.4.5.
Full textSiswanti, Rina, Supriyadi Supriyadi, and Subagiya Subagiya. "Hubungan Tingkat Serangan Ulat Kipat (Cricula Trifenestrata) terhadap Hasil Mete." Agrotechnology Research Journal 1, no. 1 (June 16, 2017): 21. http://dx.doi.org/10.20961/agrotechresj.v1i1.18866.
Full textOlaitan P., Babatunde,, Adeigbe, Oluwayemisi O., Sobowale, Olalekan I., Muyiwa, Anna A., and Balogun, Shamsudeen T. "Cashew Production and Breeding in 5 West African Countries." Journal of Scientific Research and Reports 29, no. 5 (May 1, 2023): 28–39. http://dx.doi.org/10.9734/jsrr/2023/v29i51745.
Full textSupriyadi, Supriyadi, Retno Wijayanti, Retna Bandriyati Arniputri, and Fakhriza Nikma Azizin. "Serangga pengunjung bunga tumbuhan liar dan potensinya untuk mendukung penyerbukan jambu mete (Anacardium occidentale L)." Jurnal Entomologi Indonesia 20, no. 3 (January 3, 2024): 269–74. http://dx.doi.org/10.5994/jei.20.3.269.
Full textZhang, Lin, Qi Zhi Zhang, and Chang Qin Yi. "Research of Classification Technology of Cashew Nuts." Applied Mechanics and Materials 331 (July 2013): 612–16. http://dx.doi.org/10.4028/www.scientific.net/amm.331.612.
Full textLero, Oni Ringgu, Agnes Quartina Pudjiastuti, and Sumarno Sumarno. "Factors Influencing Indonesia’s Cashew Export Volume." AGRIEKONOMIKA 9, no. 2 (December 28, 2020): 205–14. http://dx.doi.org/10.21107/agriekonomika.v9i2.8524.
Full textAsriningtias, Yuli, and Wahyu Sri Utami. "Minimization Implementation of Fuzzy Logic to Optimize a Cashew Nut Production using Simpleks-Duality Theory." Compiler 12, no. 2 (November 30, 2023): 93. http://dx.doi.org/10.28989/compiler.v12i2.1836.
Full textMang'ana, Kulwa, Revelian Ngaiza, and Michael Paul. "Unlocking the potential of Tanzania's cashew processing industry: A comparative analysis with Côte d’Ivoire and Mozambique." F1000Research 13 (February 16, 2024): 108. http://dx.doi.org/10.12688/f1000research.143364.1.
Full textDissertations / Theses on the topic "Cashew"
Salisbury, Amelia Rose. "Hot cashew on a tin roof." Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/4743.
Full textCarvalho, Joelia Marques de. "Virgin cashew nut oil (VCNO) and extra virgin cashew nut oil (EVCNO): processing, characterization, sensory evaluation and bioactivity." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15334.
Full textThe cashew nut (CN) is a major agribusiness product of CearÃ, but it is also an income source for small farmers, especially in drought periods. The cashew nut with greater value to market is standardized as whole-grade. The cashew nut inferior grades by color or broken during processing, lose 80% of their market value. This study aimed to develop an oil from the inferior grades cashew nut, evaluating the cold extraction methods (extra virgin - EVCNO) and preheating in microwave (virgin - VCNO), its composition and chemical and physical characteristics, stability, sensory characteristics and bioactivity. In the selection of kernels for extraction, considered the physical and chemical characteristics and oxidative quality, we used lower six grades and qualities: B1, S1, W4, SP1, SP2, P1 and a whole nut-grade grade (W240) as reference. Considering the evaluated parameters, we opted for the use of SP2 kernel, due to the lower market price, since all grades and qualities evaluated showed good physical and chemical quality and oxidative, with potential for oil extraction (total lipids of over 50%). In the assessment of extraction processes, there was a higher yield of the sample with pre-heating in a microwave. The OV sample also showed greater oxidative stability with average induction time of 46.25 hours, 39.03 hours against the OEV sample, possibly given by the greater presence of phenolic compounds in sample VCNO (316.4 mg / 100g) than the sample EVCNO (202.17 mg / 100g). Both oils showed antioxidant activity, possibly due to the presence of compounds such as tocopherols, fatty acids mono and polyunsaturated, phytosterols and phenolic identified in the samples. In antimicrobial evaluation, the VCNO oil possibly due to increased phenolic content, made more effective action against pathogenic microorganisms especially Listeria mocytogenes. VCNO and EVCNO showed antiproliferative action against breast cancer cells (MCF7), lung cancer cells (A549) and liver cancer cells (HepG2) only at high concentrations greater than 200 mg/mL. In sensory tests with consumers (focus groups) and Optimized Descriptive Profile perceived interest in consuming the product if it was available in the market, both for their sensory attributes as the regional appeal of the product. The main attributes of the samples: shining, yellow color, odor and taste of nuts. Considering the evaluated aspects, preheating with microwave can offer a higher yield of extraction, without significant loss of bioactive compounds or decreased sensory acceptance.
Pell, Susan Katherine. "Molecular systematics of the cashew family (Anacardiaceae) /." View online version of this work, 2004. http://etd.lsu.edu/docs/available/etd-04152004-101232/.
Full textDe, Braganza Radek Messias. "Fine chemicals from cashew nut shell liquid." Thesis, Bangor University, 2003. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409441.
Full textFlamengo, Bianca Carvalho Voss Wahnon. "Venturing into cashew business in Guinea - Bissau." Master's thesis, NSBE - UNL, 2011. http://hdl.handle.net/10362/10042.
Full textThis project consists of a business plan for a cashew processing factory in Guinea-Bissau. A company will be created to implement the project with the objective to sell whole white cashews to the general cashew market of the Netherland. To do so the company will have to acquire the ISO 22000 certification and fulfill the Dutch importers quality and quantity standards. In the second year the company will either sell the cashews as certified organic products or expand the factory capacity. The financial projections were made and both strategies (enter organic niche market or expand) will result in a positive NPV project with an IRR of 61% and 63% respectively. In terms of long run objectives the company will continue to expand. Besides implementing a sustainable and profitable project this new company will surely have a social-economic impact.
Neto, Victor. "Yield variability of cashew trees in East Africa." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387772.
Full textSamamad, Nancy Taera Ibraimo. "Cashew apple quality by near infrared spectroscopy technique." Universidade Federal de Viçosa, 2016. http://www.locus.ufv.br/handle/123456789/8350.
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O cajueiro (Anacardium occidentale L.) é uma planta de grande importância econômica para o Nordeste brasileiro, pela diversidade de produtos e quantidade de empregos gerados. A crescente demanda por produtos saudáveis associados ao aumento no consumo do caju de mesa incentivou o desenvolvimento de tecnologias para monitorar os critérios de qualidade. Esses critérios são determinados por meio de análises destrutivas, que são normalmente demoradas, com custos altos e não leva em consideração a variabilidade individual do caju. Visando substituir essas análises, a espectroscopia de infravermelho próximo (NIRS) permite a determinação simultânea e não destrutiva de vários atributos de qualidade. NIRS é uma técnica rápida que correlaciona as propriedades de absorção de energia em regiões do espectro electromagnético com a composição e concentração de moléculas através de modelos de regressão desenvolvidos por meio da quimiometria. O objetivo deste estudo foi desenvolver modelos preditivos em NIRS para o dispositivo de bancada e portátil visando estimar propriedades físico-químicas tais como firmeza, pH, sólidos solúveis totais (TSS), açúcares solúveis (SSC), acidez titulável (TA), sabor, ácido ascórbico (vitamina C), carotenóides, flavonóides totais, polifenóis extraíveis totais (TEP) e atividade antioxidante para o monitoramento da qualidade do pedúnculo de caju. Para o dispositivo de bancada, os modelos foram construídos com 34 amostras de 17 genótipos a partir de espectros coletados no modo de refletância. Os modelos preditivos obtidos para firmeza e pH apresentaram valores de coeficiente de determinação para validação cruzada (R2CV) de 0.92 e 0.84, respectivamente, enquanto que para os coeficientes de determinação para a validação externa (R2P) foram de 0.87 para firmeza e 0.78 para pH. A relação do desempenho do desvio para validação cruzada (RPDCV) apresentaram valores de 3.0 e 2.4 e, para a validação externa (RPDP) se obtiveram valores de 2.4 e 2.2 para firmeza e pH, respectivamente, indicando boa capacidade de predição. Para as variáveis do metabolismo primário, os valores obtidos para o R2CV foram de 0.86 para SSC, 0.83 para TSS, 0.90 para TA e de 0.80 para sabor, sendo que os valores de R2P foram de 0.78, 0.75, 0.85 e 0.73, respectivamente. Os valores apresentados para RPDCV foram, respectivamente, de 2.6, 2.4, 3.1 e 2.1 para SSC, TSS, TA e sabor, enquanto que os valores de RPDP foram de 2.0 para SSC e TSS, 3.0 para TA e 1.8 para sabor. No metabolismo secundário, foram obtidos modelos com valores de 0.87 para R2CV e de 0.85 R2P para vitamina C, apresentando boa capacidade de predição tanto para validação cruzada como para validação externa, com valores de RPDCV e de RPDP de 2.6 e 2.8. Para carotenoides, modelos com R2CV e R2P de 0.89 e 0.79 foram obtidos, com RPDCV e de RPDP 2.9 e 2.0, respectivamente, enquanto que para flavonóides totais, foram obtidos valores de 0.86 para ambos R2CV e R2P e, valores de RPDCV de 2.6 e de 2.0 para RPDP. Modelos obtidos para TEP tiveram valores 0.90 para R2CV e de 0.89 para R2P, bem como valores de RPDCV de 3.2 e 2.5 de RPDP, sendo que para atividade antioxidante foram obtidos modelos com valores de R2CV e R2P de 0.87 e de 0.81, respectivamente, com valores de RPDCV de 2.7 e 2.2 para RPDP. Para o dispositivo portátil, foram obtidos modelos preditivos de 75 amostras provenientes de 21 diferentes genótipos sendo que para firmeza, pH, TSS, TA, sabor e vitamina C os valores de R2CV foram de 0.77, 0.75, 0.90, 0.85, 0.80 e 0.89, respectivamente com a média do erro relativo de -1.1%, 0.2%, 0.5%, -1.3%, 2.6% e 4.9%. Para essas variáveis, foram obtidos valores de coeficientes de determinação para previsão (R2P) de 0.76, 0.72, 0.88, 0.85, 0.82 e 0.83 com os coeficientes de variabilidade do erro padrão de previsão (SEP) de 18.2%, 3.0%, 5.6%, 19.6%, 15.4% e 12.1%. Além destes, realizou-se um experimento de monitoramento de qualidade do caju de mesa refrigerado por NIRS ao longo de nove dias. Foram utilizados quatro genótipos com três repetições onde se avaliou TSS, vitamina C e pH analisados em parcelas subdividida no tempo.
The cashew tree (Anacardium occidentale L.) is a plant with great economic importance for the Brazilian Northeast, due to diversity of products and the amount of jobs generated. Growing demand for healthy products associated an increase in table cashew consumption encouraged the development of technologies to monitor quality criteria. These criteria are determined by destructive analyses, which are usually time-consuming, with high costs and do not take into account the individual cashew variability. Aiming to replace these analyses, the near-infrared spectroscopy (NIRS) allows simultaneous and nondestructive determination of multiple quality attributes. NIRS is a rapid technique that correlates the energy absorption properties in regions of the electromagnetic spectrum with the composition and concentration of molecules through regression models developed by chemometrics. The aim of this study was to develop predictive models in NIRS for bench top and portable device to estimate physical-chemical properties such as firmness, pH, total soluble solids (TSS), soluble sugars (SSC), titratable acidity (TA), flavor, ascorbic acid (vitamin C), carotenoids, total flavonoids, total extractable polyphenols (TEP) and antioxidant activity for monitoring cashew apple quality. For the bench device, the models were constructed with 34 genotypes of 17 samples collected from the reflectance spectra mode. The predictive models obtained for firmness and pH showed determination coefficient values for cross-validation (R2CV) of 0.92 and 0.84, respectively, while for external validation or prediction, coefficients of determination (R2P) were 0.87 for firmness and 0.78 for pH. The residual prediction deviation of cross-validation (RPDCV) have presented values of 3.0 e 2.4 and for external validation values of 2.4 and 2.2 were obtained for firmness and pH, respectively, indicating a good predictive ability. For variables of primary metabolism, the obtained values for R2CV were 0.86 for SSC, 0.83 for TSS, 0.90 for TA and 0.80 for flavor and the R2P values were respectively of 0.78, 0.75, 0.85 and 0.73. The presented RPDCV values were 2.6, 2.4, 3.1 and 2.1 for SSC, TSS, TA and flavor, while RPDP obtained values were 2.0 for SSC and TSS, 3.0 for TA and 1.8 for flavor. In secondary metabolism, models with 0.87 values for R2CV were obtained with R2P of 0.85 for vitamin C. These models presented good ability to predict both cross-validation and external validation with RPDCV and RPDP values of 2.6 and 2.8, respectively. Carotenoids models presented R2CV and R2P values of 0.89 and 0.79, with RPDCV and RPDP of 2.9 and 2.0, respectively, while for total flavonóides, models were obtained with values of 0.86 for both R2CV and R2P as well as RPDCV values of 2.6 and 2.0 to RPDP. Models obtained for TEP has presented values of 0.90 for R2CV and 0.89 to R2P and RPDCV values of 3.2 as well as 2.5 for RPDP. Antioxidant activity models were obtained with R2CV and R2P values of 0.87 and 0.81, respectively, and RPDCV values of 2.7 and 2.2 for RPDP. For portable device predictive models, 75 samples from 21 different genotypes were collected and evaluated of which firmness, pH, TSS, TA, flavor and vitamin C presented R2CV values of 0.77, 0.75, 0.90, 0.85, 0.80 and 0.89, respectively, with the average relative error of -1.1%, 0.2%, 0.5%, -1.3%, 2.6% and 4.9%. For these variables were obtained coefficients of determination values for prediction (R2P) of 0.76, 0.72, 0.88, 0.85, 0.82 and 0.83 with standard error of prediction (SEP) coefficient of variability of 18.2%, 3.0%, 5.6%, 19.6%, 15.4% and 12.1%. Besides these, a quality monitoring experiment in cold storage was evaluated by NIRS over nine days. Four genotypes were used with tree repetitions for TSS, vitamin C and pH assessment evaluated in split plot in time.
Magnusson, Sophia, and Anna-Karin Luvö. "Chasing Markets : A Study of the Mozambican Cashew Industry." Thesis, Växjö University, School of Social Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-5835.
Full textIn the spring of 2009 we spent five weeks in Mozambique performing a field study. Four of the weeks were spent in Nampula province in the northern part of the country, where most of the Mozambican cashew is produced. In the 1970s Mozambique was world leading in cashew kernel export, however, today the industry is a shadow of its former self. Since the end of the 1990s, the government along with other stakeholders, are trying to recuperate the industry. There are a great deal of obstacles to overcome to be able to compete with other large exporting countries such as India, Vietnam and Brazil. The main issue is the conditions of the trees; the majority of the trees are over forty years old and therefore have a low cashew yield. In addition, poor maintenance of the trees further decreases the production. Other problems are the infrastructure, in particular roads in poor condition, difficulties in locating markets and the income gap between the producer and end retailer.
During our research we have thought of a few recommendations which we feel would be worth looking into. We feel cheaper seedling should be available for the producers and nurseries should be put more locally for easier access. We also recommend spraying of the trees to be done more frequently. Furthermore a prerequisite for an expansion of the cashew industry is an investment in the infrastructure, to be able to transport the cashew from producer to processor and exporter. This would also improve life quality of the people in general. In addition, an investment in the poorest is necessary for the development of the country, a tool for achieving this could be better access to micro credits and village banks. To increase the income generated from Mozambican cashew kernels we recommend focusing the export on Fair Trade and possibly the organic market since they provide higher prices. A possibility to locating new markets would be an office, possibly in Europe, in order to be closer to the costumers. Another income generating market could be the market for by-products such as Cashew Nut Shell Liquid, cashew oil and juice and jam from the fruit.
Kozarev, Kamen A., Alisdair Davey, Alexander Kendrick, Michael Hammer, and Celeste Keith. "The Coronal Analysis of SHocks and Waves (CASHeW) framework." EDP SCIENCES S A, 2017. http://hdl.handle.net/10150/626293.
Full textHolanda-Neto, J. P. "The pollination of Cashew (Anarcardium occidentale) in Northest Brazil." Thesis, Queen's University Belfast, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.517347.
Full textBooks on the topic "Cashew"
Council, Cashew Export Promotion, ed. Cashew statistics. Cochin: Cashew Export Promotion Council of India, 2005.
Find full textAnilkumar, Parambath, ed. Cashew Nut Shell Liquid. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47455-7.
Full textSalam, M. Abdul, and E. V. V. Bhaskara Rao. Cashew, varietal wealth of India. Thrissur: Kerala Agricultural University, Madakkathara and Directorate of Cashew & Cocoa Development, Government of India, Ministry of Agriculture, Cochin, 2001.
Find full textMandal, R. C. Cashew production and processing technology. Bikaner: Agro Botanical Publishers (India), 1992.
Find full textSalam, M. Abdul. High yielding varieties of cashew. Thrissur: Kerala Agricultural University, 1995.
Find full textWadkar, S. S. Indian cashew: Processing and export. Jaipur: Pointer Publishers, 2007.
Find full textBehrens, Rüdiger. Cashew as an agroforestry crop: Prospects and potentials. Weikersheim, Germany: Margraf Verlag, 1996.
Find full textCorporation, International Finance. Prospects for Cambodia's cashew sub-sector. Phnom Penh, Cambodia: International Finance Corporation, 2010.
Find full textBook chapters on the topic "Cashew"
Ambethgar, V. "Cashew." In Mealybugs and their Management in Agricultural and Horticultural crops, 561–67. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2677-2_60.
Full textKrist, Sabine. "Cashew Oil." In Vegetable Fats and Oils, 191–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30314-3_29.
Full textSingh, Barinderjit, Gurwinder Kaur, Reetu, and Shafiya Rafiq. "Cashew Wastes." In Handbook of Fruit Wastes and By-Products, 273–88. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003164463-18.
Full textBalasimha, D. "Cocoa and Cashew." In Abiotic Stress Physiology of Horticultural Crops, 307–19. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2725-0_16.
Full textGooch, Jan W. "Cashew Net Shell Oil." In Encyclopedic Dictionary of Polymers, 122. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_2006.
Full textSmitha, H., N. Shashikiran, and L. D'Souza. "iAnacardium occidentale/i cashew." In Biotechnology of fruit and nut crops, 19–26. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781780648279.0019.
Full textNadgauda, R. S., and Shilpa S. Gogate. "Cashew (Anacardium occidentale L.)." In Protocol for Somatic Embryogenesis in Woody Plants, 157–65. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-2985-3_13.
Full textMalik, Javid Ahmad, and Monika Bhadauria. "Cashew Nut (Anacardium occidentale)." In Antioxidants in Vegetables and Nuts - Properties and Health Benefits, 539–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7470-2_28.
Full textKouakou, Charles Konan, Jacky Amenan Konan, Dabé Doga, and Ahouly Boris Roméo Kouadio. "Genetic Diversity of Cashew." In Cash Crops, 523–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74926-2_14.
Full textMangalassery, S., J. D. Adiga, G. L. Veena, N. K. Binitha, and K. S. Anil Kumar. "Cashew (Anacardium occidentale L.)." In Soil Health Management for Plantation Crops, 253–79. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0092-9_6.
Full textConference papers on the topic "Cashew"
Moreira, Edmilson Carneiro, Romeu Freitas, Alexei Morais, and Antonio Sergio B. Sombra. "RFID in cashew nut industry." In 2014 IEEE Brasil RFID. IEEE, 2014. http://dx.doi.org/10.1109/brasilrfid.2014.7128959.
Full textAran, M. O., Aneesh G. Nath, and A. Shyna. "Automated cashew kernel grading using machine vision." In 2016 International Conference on Next Generation Intelligent Systems (ICNGIS). IEEE, 2016. http://dx.doi.org/10.1109/icngis.2016.7854063.
Full textPandit, Deepanjali, Nidhi Prakash, Smrithi Shree M, Sourabh Hemant Dahale, and Shikha Tripathi. "Computer Vision-based Automated Cashew Kernel Grading." In IVSP 2023: 2023 5th International Conference on Image, Video and Signal Processing. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3591156.3591169.
Full textFelipe Mota Martins, Francisco Klayton Marques de Alencar, Francisco Nivaldo Freire, Aline Cosmo de Sena, Paulo Hebert França Maia Júnior, Francisco Marcone Lima, and Hélio Henrique Barbosa Rocha. "Silicon dioxide extraction from cashew nut ashes." In 23rd ABCM International Congress of Mechanical Engineering. Rio de Janeiro, Brazil: ABCM Brazilian Society of Mechanical Sciences and Engineering, 2015. http://dx.doi.org/10.20906/cps/cob-2015-2003.
Full textCharukeshi, S., S. Shreya, and S. Samundeswari. "Automatic Cashew Detection System Using Deep Learning." In 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT). IEEE, 2024. http://dx.doi.org/10.1109/ic3iot60841.2024.10550397.
Full textRajagopal, Manoj Kumar, Bala Murugan, Paventhan Arumugam, Chanda Rajurkar, R. Anand, and Sushil Kumar. "Intelligent Drone Design for Precision Cashew Farming." In 2024 9th International Conference on Control and Robotics Engineering (ICCRE). IEEE, 2024. http://dx.doi.org/10.1109/iccre61448.2024.10589729.
Full textCaillol, Sylvain. "From Cashew Nutshell Liquid to Aromatic Biobased Latex." In Virtual 2021 AOCS Annual Meeting & Expo. American Oil Chemists’ Society (AOCS), 2021. http://dx.doi.org/10.21748/am21.75.
Full textNarendra, V. G., D. K. Shetty, and K. S. Hareesh. "Computer Vision system for cashew kernel area estimation." In 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT 2012). IEEE, 2012. http://dx.doi.org/10.1109/icccnt.2012.6395942.
Full textBayala, Thierry Roger, Sadouanouan Malo, and Zakaria Kinda. "DL4Cashew: Deep Learning Model For Cashew Trees Counting." In 2023 IEEE International Conference on Contemporary Computing and Communications (InC4). IEEE, 2023. http://dx.doi.org/10.1109/inc457730.2023.10262859.
Full textSivaranjani, A., S. Senthilrani, B. Ashokumar, and A. Senthil Murugan. "CashNet-15:An Optimized Cashew Nut Grading Using Deep CNN and Data Augmentation." In 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2019. http://dx.doi.org/10.1109/icscan.2019.8878725.
Full textReports on the topic "Cashew"
Cuevas, Eloy E. William Casey Case Study in Intelligence Community Leadership. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada520714.
Full textKothari, Jayna, Deekshitha Ganesan, I. R. Jayalakshmi, Krithika Balu, Prabhu C., and Aadhirai S. Tackling Caste Discrimination Through Law: A Policy Brief on Implementation of Caste Discrimination Laws in India. Centre for Law and Policy Research, March 2020. http://dx.doi.org/10.54999/gjkp8801.
Full textBennett, Andrew. Case Studies and Process Tracing. Instats Inc., 2024. http://dx.doi.org/10.61700/8zbv00tqs8hq31190.
Full textMcMillan, Margaret, Dani Rodrik, and Karen Horn Welch. When Economic Reform Goes Wrong: Cashews in Mozambique. Cambridge, MA: National Bureau of Economic Research, August 2002. http://dx.doi.org/10.3386/w9117.
Full textSaad, Saed, Sonja Read, and Ben Mountfield. Linking Cash and Voucher Assistance with Social Protection: A case study in Gaza. Oxfam, August 2022. http://dx.doi.org/10.21201/2022.9387.
Full textHill, Jr, Kim Randall W., Zbylut Julia M., Gordon Michell R., Ward Andrew S., Vowels Jason N., and Christopher L. Learning the Lessons of Leadership: Case Method Teaching with Interactive Computer-Based Tools and Film-Based Cases. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada479693.
Full textMena, Gary, and Werner L. Hernani-Limarino. Intended and Unintended Effects of Unconditional Cash Transfers: The Case of Bolivia's Renta Dignidad. Inter-American Development Bank, December 2015. http://dx.doi.org/10.18235/0011709.
Full textBarzelay, Michael, Guillermo Cejudo, Francisco Gaetani, and Juan Carlos Cortázar Velarde. Research on Public Management Policy Change in the Latin American Region: Conceptual Framework, Methodological Guide, and Exemplars. Inter-American Development Bank, November 2002. http://dx.doi.org/10.18235/0012271.
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