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Artykuły w czasopismach na temat "Agricultural pattern"
Singh, Dharmender, P. S. Shehrawat, Joginder Singh Malik, Dangi Pooja Arun i Dinesh Kumar. "Utilization Pattern of Mobile Apps Among Farmers for Agricultural Production". Indian Journal of Extension Education 59, nr 1 (2023): 150–53. http://dx.doi.org/10.48165/ijee.2023.59132.
Pełny tekst źródłaRogoyski, Matthew, Alvan Gaus, Thomas Mourey, Israel Broner i Jeffrey Lakey. "Generative Patterns: A Potential Role in the Management of Complexity in Production Agriculture". HortScience 31, nr 4 (sierpień 1996): 666a—666. http://dx.doi.org/10.21273/hortsci.31.4.666a.
Pełny tekst źródłaGayathri, E., i K. Sita Devi. "Changes in the Land Use Pattern and Cropping Pattern among Different Gradients of Tiruchirapalli District – A Farm Level Analysis". Asian Journal of Agricultural Extension, Economics & Sociology 41, nr 11 (9.12.2023): 382–96. http://dx.doi.org/10.9734/ajaees/2023/v41i112295.
Pełny tekst źródłaSingh, Akhilesh Kumar, i Arun Kumar Singh. "Land use and cropping pattern change in Chandauli District, Uttar Pradesh: A geographical analysis". National Geographical Journal of India 66, nr 3 (30.09.2020): 259–73. http://dx.doi.org/10.48008/ngji.1746.
Pełny tekst źródłaSagar, Sandip. "Changing Pattern of Agricultural Mechanization in Nalanda District of Bihar". Journal of Advanced Research in English and Education 05, nr 02 (19.02.2021): 1–4. http://dx.doi.org/10.24321/2456.4370.202004.
Pełny tekst źródłaYadav, Swati. "Changing cropping pattern in U.P. Bundelkhand Region". National Geographical Journal of India 67, nr 4 (31.12.2021): 385–402. http://dx.doi.org/10.48008/ngji.1785.
Pełny tekst źródłaSun, Qingru, Meiyi Hou, Shuaiwei Shi, Liwei Cui i Zenglei Xi. "The Influence of Country Risks on the International Agricultural Trade Patterns Based on Network Analysis and Panel Data Method". Agriculture 12, nr 3 (3.03.2022): 361. http://dx.doi.org/10.3390/agriculture12030361.
Pełny tekst źródłaGu, Bo Xuan, Yu Hua Wang i Yan Peng Li. "Evaluating the Spatial Pattern of Organic Agricultural Enterprises in China". Applied Mechanics and Materials 361-363 (sierpień 2013): 127–35. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.127.
Pełny tekst źródłaMetzger, Jean Paul. "Effects of deforestation pattern and private nature reserves on the forest conservation in settlement areas of the Brazilian Amazon". Biota Neotropica 1, nr 1-2 (2001): 1–14. http://dx.doi.org/10.1590/s1676-06032001000100003.
Pełny tekst źródłaKareemulla, K., Pandian Krishnan, S. Ravichandran, B. Ganesh Kumar, Sweety Sharma i Ramachandra Bhatta. "Spatiotemporal Analysis of Size and Equity in Ownership Dynamics of Agricultural Landholdings in India Vis-à-Vis the World". Sustainability 13, nr 18 (13.09.2021): 10225. http://dx.doi.org/10.3390/su131810225.
Pełny tekst źródłaRozprawy doktorskie na temat "Agricultural pattern"
Haslem, Angie, i angie haslem@deakin edu au. "Landscape Pattern, Countryside Heterogeneity and Bird Conservation in Agricultural Environments". Deakin University. Life and Environmental Sciences, 2008. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20090114.101341.
Pełny tekst źródłaSharma, B. Anil Kumar. "Changing agricultural pattern and its impact on land use in south district of Sikkim". Thesis, University of North Bengal, 2008. http://hdl.handle.net/123456789/1205.
Pełny tekst źródłaCamargo, Marcel Pinton de. "Aerial machine vision, geographical information system and hue for pattern classification in agriculture". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-17012019-180101/.
Pełny tekst źródłaNesta pesquisa pretendemos alcançar a coesão cibernética no fluxo de informações dentro da agricultura de precisão, integrando métodos de aprendizagem de máquinas, visão computacional, sistema de informação geográfica e aerofotogrametria em uma área irrigada com efluente de matadouro, sob cinco tratamentos (W100 - irrigação com água superficial e 100 % de adubação mineral nitrogenada, E0, E33, E66 e E100 - irrigação com efluente tratado de abatedouro e adição de 0, 33, 66 e 100% de adubação mineral nitrogenada, respectivamente) e quatro repetições em pastagem (Cynodon dactylon (L.) Pers.) Várias imagens (entre cem e duzentas) com modelo de cor vermelho, verde e azul (RGB) foram capturadas por um quadricóptero voando a 20 metros de altitude, e obtendo resolução espacial de 1 centímetro em uma superfície de aproximadamente 0.5 ha. As imagens foram ortorretificadas juntamente com nove pontos de controle, realizados pelo sistema de posicionamento global diferencial (GPS), ambos processados no software Agisoft PhotoScan. Treze projetos fotogramétricos foram realizados ao longo do tempo com revisita de 30 dias, a raiz do erro quadrático médio (RMSE) foi usada como medida de acurácia e atingiu valores menores que 5 centímetros para os eixos x, y e z. A ortoimagem obtida com a fotogrametria do veículo aéreo não tripulado (UAV) foi alterada de RGB para matiz, saturação, valor (HSV) e o espaço de cor matiz foi escolhido devido a independência da iluminação, além de ter boa descrição da exposição do solo e vegetação. Entretanto este é dependente da temperatura da fonte de luz, portanto difícil de se estabelecer um limiar estático, logo selecionamos um método de classificação não supervisionado, o K-Means, para classificar os padrões desconhecidos ao longo da área. Polígonos foram traçados delimitando a área representada por cada parcela e um método supervisionado de classificação baseado na entropia foi utilizado, a árvore de decisão, para explorar e encontrar padrões que reconheçam cada tratamento. Essas etapas também são exibidas em formas de mapas temáticos georeferenciados e foram executadas nos softwares de código aberto Python, QGIS e Weka. As regras definidas no espaço de cor matiz atingiram uma acurácia de 100% no conjunto de treinamento e proporcionaram um melhor entendimento sobre a distribuição do solo e da vegetação nas parcelas. Esta metodologia mostra um grande potencial para análise de dados na agricultura de precisão.
Singha, Chandana. "Spatio-temporal change of agricultural land use pattern in Siliguri subdivision, Darjeeling District: Geographical analysis". Thesis, University of North Bengal, 2018. http://ir.nbu.ac.in/handle/123456789/2784.
Pełny tekst źródłaOkay, Atiye Zeynep. "Spatial pattern and temporal dynamics of northern bobwhite abundance and agricultural landuse, and potential casual factors". Texas A&M University, 2004. http://hdl.handle.net/1969.1/3355.
Pełny tekst źródłaPan, Jingwen. "A Study on Agriculture Landscape Application and Development Pattern in Rural Cluj Region". University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522340951754843.
Pełny tekst źródłaNguyen, Thanh Le Vi. "Local Binary Pattern based algorithms for the discrimination and detection of crops and weeds with similar morphologies". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2359.
Pełny tekst źródłaDaggupati, Naga Prasad. "Assessment of the varitarget nozzle for variable rate application of liquid crop protection products". Thesis, Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/414.
Pełny tekst źródłaHallstrom, Daniel George. "Agricultural development patterns". Thesis, Montana State University, 1995. http://etd.lib.montana.edu/etd/1995/hallstrom/HallstromD1995.pdf.
Pełny tekst źródłaDucarouge, Benjamin. "Régulation des systèmes d'adhérence cellulaire par le CRF2 : un effecteur du stress dans le tube digestif". Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00767103.
Pełny tekst źródłaKsiążki na temat "Agricultural pattern"
Rahaman, Hasibur. Diversified Cropping Pattern and Agricultural Development. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55728-7.
Pełny tekst źródłaSharma, Anju. Dynamics of cropping pattern: A regional study of Punjab. New Delhi: Northern Book Centre, 1998.
Znajdź pełny tekst źródłaOrback, Jens. Agriculture and incentives, the Tanzanian case: A report on agricultural price policy in Tanzania and its effects on production pattern and market development : report from a minor research task. Uppsala: Swedish University of Agricultural Sciences, International Rural Development Centre, 1985.
Znajdź pełny tekst źródłaNigerian Institute of Social and Economic Research, red. Pattern of gender responsibility in tradeable crop agriculture: A baseline study of selected farming systems in Nigeria. Ibadan: Nigerian Institute of Social and Economic Research (NISER), 2001.
Znajdź pełny tekst źródłaVerma, A. K. Time utilisation pattern of faculty members of agriculture/veterinary science institutions. New Delhi: Institute of Applied Manpower Research, 1996.
Znajdź pełny tekst źródłaExploitation of women labour in India: Employment pattern and wage discrimination. New Delhi: Deep & Deep Publications, 1993.
Znajdź pełny tekst źródłaSingh, Arun Kumar. Ecology and land use pattern in Gudalur Taluk, Nilgiris: A geographical study. Calcutta: Anthropological Survey of India, Ministry of Human Resource Development, Dept. of Culture, Govt. of India, 1991.
Znajdź pełny tekst źródłaLevy, Victor. Cropping pattern, mechanization, child labor and fertility behavior in a farming economy: Rural Egypt. Jerusalem, Israel: Maurice Falk Institute for Economic Research in Israel, 1985.
Znajdź pełny tekst źródłaLevy, Victor. Cropping pattern, mechanization, child labor and fertility behavior in a farming economy: Rural Egypt. Jerusalem, Israel: Maurice Falk Institute for Economic Research in Israel, 1985.
Znajdź pełny tekst źródłaSharma, S. K. Estimates of requirements of agricultural and veterinary graduates and post-graduates 1995 and 2000 A.D.: Phase I- Utilisation of patter, phase II-Utilisation pattern of agricultural personnel in financial sector. New Delhi: Institute of Applied Manpower Research, 1996.
Znajdź pełny tekst źródłaCzęści książek na temat "Agricultural pattern"
Atibudhi, H. N. "Pattern of Agricultural Diversification in Odisha". W India Studies in Business and Economics, 69–77. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1997-2_6.
Pełny tekst źródłaRahaman, Hasibur. "Levels and Efficiency of Agricultural Development". W Diversified Cropping Pattern and Agricultural Development, 139–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_5.
Pełny tekst źródłaDe, Sayan, Ishita Bhakta, Santanu Phadikar i Koushik Majumder. "Agricultural Image Augmentation with Generative Adversarial Networks GANs". W Computational Intelligence in Pattern Recognition, 335–44. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3089-8_32.
Pełny tekst źródłaSinek, F. "A comparison of the pattern of vacuum in milking machines with synchronous and asynchronous pulsation". W Agricultural Engineering, 985–91. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003211471-26.
Pełny tekst źródłaRahaman, Hasibur. "Land Use and Cropping Pattern Dynamic". W Diversified Cropping Pattern and Agricultural Development, 35–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_2.
Pełny tekst źródłaRahaman, Hasibur. "Agriculture Development: Inputs-Outputs Dimension". W Diversified Cropping Pattern and Agricultural Development, 71–106. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_3.
Pełny tekst źródłaRahaman, Hasibur. "Overview of the Study Area". W Diversified Cropping Pattern and Agricultural Development, 1–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_1.
Pełny tekst źródłaRahaman, Hasibur. "Status of Crop Diversification". W Diversified Cropping Pattern and Agricultural Development, 107–37. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_4.
Pełny tekst źródłaRahaman, Hasibur. "Challenges and Opportunities of Agricultural Development in the District". W Diversified Cropping Pattern and Agricultural Development, 189–220. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_6.
Pełny tekst źródłaChen, Lei, Jin Gao, Yuan Yuan i Li Wan. "Agricultural Question Classification Based on CNN of Cascade Word Vectors". W Pattern Recognition and Computer Vision, 110–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03335-4_10.
Pełny tekst źródłaStreszczenia konferencji na temat "Agricultural pattern"
Chiu, Mang Tik, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian i in. "Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis". W 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00290.
Pełny tekst źródłaWu, Chi-hsin, i Peter C. Doerschuk. "Spatial pattern classification for optical agricultural remote sensing". W SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, redaktor Andrew G. Tescher. SPIE, 1994. http://dx.doi.org/10.1117/12.186567.
Pełny tekst źródłaHiç, Özlen, i Ayşen Hiç Gencer. "The Effects of Agricultural Policies on the Production Pattern: The Case of Turkey". W International Conference on Eurasian Economies. Eurasian Economists Association, 2021. http://dx.doi.org/10.36880/c13.02601.
Pełny tekst źródłaWang, Jingjing, Yong Hu, Ling Sun, Zhiming Wang, Kun Yu, Lin Qiu, Jie Shan i Xiaojun Huang. "Dynamic analysis of agricultural landscape pattern changes in Jiangsu". W 2017 6th International Conference on Agro-Geoinformatics. IEEE, 2017. http://dx.doi.org/10.1109/agro-geoinformatics.2017.8047049.
Pełny tekst źródłaSantos, Flávio E. de O., Marcos A. S. da Silva, Leonardo N. Matos, Fábio R. de Moura i Márcia H. G. Dompieri. "Self-Organizing Map approach to cluster Brazilian agricultural spatiotemporal diversity". W Escola Regional de Computação Bahia, Alagoas e Sergipe. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/erbase.2021.20058.
Pełny tekst źródłaIsmanto, Mohammad Andi, Harisno, Victory Haris Kusumawardhana i Harco Leslie Hendric Spits Warnars. "Strategic Planning Of Information Systems And Information Technology At Agricultural Research And Development Agency, Ministry Of Agriculture". W 2018 Indonesian Association for Pattern Recognition International Conference (INAPR). IEEE, 2018. http://dx.doi.org/10.1109/inapr.2018.8627011.
Pełny tekst źródłaSuyun, Chen. "Researching on Pattern of Agricultural Industrialization Based on Supplying Chain". W 2009 Second International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2009. http://dx.doi.org/10.1109/fitme.2009.129.
Pełny tekst źródłaCiarfuglia, Thomas A., Ionut Marian Motoi, Leonardo Saraceni i Daniele Nardi. "Pseudo-label Generation for Agricultural Robotics Applications". W 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2022. http://dx.doi.org/10.1109/cvprw56347.2022.00175.
Pełny tekst źródłaWang, Zhenghao, Lifeng Qiao i Mengke Wang. "Agricultural pest detection algorithm based on improved faster RCNN". W 2021 International Conference on Computer Vision and Pattern Analysis, redaktorzy Ruimin Hu, Yang Yue i Siting Chen. SPIE, 2022. http://dx.doi.org/10.1117/12.2626859.
Pełny tekst źródłaYunzhong, Cao, Zhou Bei i Wang Li. "Constructing electronic commerce pattern of agricultural enterprise in Sichuan earthquake area: Based on atomic pattern theory". W 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5886809.
Pełny tekst źródłaRaporty organizacyjne na temat "Agricultural pattern"
Coyle, William, Mark Gehlhar, Thomas Hertel, Zhi Wang i Wusheng Yu. Understanding the Determinants of structural Change in World Food Markets. GTAP Working Paper, wrzesień 2000. http://dx.doi.org/10.21642/gtap.wp02.
Pełny tekst źródłaResearch Institute (IFPRI), International Food Policy. Spatial patterns of agricultural productivity. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896298811_03.
Pełny tekst źródłaAlonso-Sanabria, Juan David, Luis Fernando Melo-Velandia i Daniel Parra-Amado. Connecting the Dots: Renewable Energy, Economic Growth, Reforestation, and Greenhouse Gas Emissions in Colombia. Banco de la República, październik 2023. http://dx.doi.org/10.32468/be.1252.
Pełny tekst źródłaResearch Institute (IFPRI), International Food Policy. Agricultural productivity in Africa: Trends, patterns, and determinants. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896298811.
Pełny tekst źródłaDancer, Helen, i Imogen Bellwood-Howard. COVID-19 and Social Differentiation in African Agriculture. Institute of Development Studies (IDS), listopad 2021. http://dx.doi.org/10.19088/apra.2021.044.
Pełny tekst źródłaHazell, Peter B. R., Xinshen Diao i Eduardo Magalhaes. Ghana’s agricultural transformation: Past patterns and sources of change. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/9780198845348_04.
Pełny tekst źródłaResearch Institute (IFPRI), International Food Policy. Agricultural productivity in Africa: Trends, patterns, and determinants: Synopsis. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896298828.
Pełny tekst źródłaBerhane, Guush, Gashaw Tadesse Abate i Abdulazize Wolle. Agricultural intensification in Ethiopia: Patterns, trends, and welfare impacts. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136483.
Pełny tekst źródłaBerhane, Guush, Gashaw Tadesse Abate i Abdulazize Wolle. Agricultural intensification in Ethiopia: Patterns, trends, and welfare impacts. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136465.
Pełny tekst źródłaResearch Institute (IFPRI), International Food Policy. Introduction In Agricultural productivity in Africa: Trends, patterns, and determinants. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896298811_01.
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