Статті в журналах: "Agricultural research"

1

Wragg, S. R. "Brazilian agriculture and agricultural research." Agricultural Administration 20, no. 1 (January 1985): 57–59. http://dx.doi.org/10.1016/0309-586x(85)90065-2.

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2

Kan, Ying Bo, Ling Ling Wang, Yi Shan Zhang, and En Ping Liu. "Research on Control System of Tropical Intelligent Agriculture in Hainan." Applied Mechanics and Materials 385-386 (August 2013): 923–26. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.923.

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Research on intelligent agriculture in our country has attracted great attention of the researchers now, but it is still under discovery. According to tropical agriculture in Hainan to IT's demand, the paper studies the key technology in the development of tropical intelligent agriculture, including automatic test technology, automatic control technology, Internet of Things and so on. This paper analyzes factors that affect tropical intelligent agricultures development, which include agricultural program, agricultural policies and regulations, agricultural technology situation, infrastructure construction, field management and other factors. The thesis builds a model between the development of tropical intelligent agriculture and its affecting factors. A developmental idea of tropical intelligent agriculture in Hainan is proposed on the basis of the model. The thesis analyzes the construction of intelligent agriculture control system in Hainan from the angles of data acquisition, data transfer, data analysis and data feed.

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3

Riley, Ralph. "New directions for agriculture and agricultural research." Food Policy 13, no. 4 (November 1988): 405–6. http://dx.doi.org/10.1016/0306-9192(88)90093-0.

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4

Abelson, P. H. "Agricultural Research." Science 257, no. 5074 (August 28, 1992): 1187. http://dx.doi.org/10.1126/science.257.5074.1187.

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5

Smith, Katherine Reichelderfer. "Making alternative agriculture research policy." American Journal of Alternative Agriculture 10, no. 1 (March 1995): 10–18. http://dx.doi.org/10.1017/s0889189300006044.

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AbstractThe policies influencing the American agricultural research agenda are developed by Congress, the U.S. Department of Agriculture, and the 58 state agricultural experiment stations of the land-grant university system, with input from various advisory groups. Despite the slow pace of change in the agricultural research agenda, there are no special barriers keeping the research system from adapting to contemporary and alternative agriculture issues. Rather, agricultural researchers have neither appropriate professional incentives nor sufficient financial incentives to shift toward alternative agriculture. Public intervention to alter these incentives has been thwarted because agricultural research institutions set their agendas through obscure processes. Five areas of policy change that could improve the prospects for evolution of a significant alternative agriculture research agenda are: 1) imposing a means test for formula fund payment limitations to states, with saved funds directed toward alternative agriculture research; 2) making priority setting a condition for receiving federalfunds for agricultural research to make the research agenda-setting process clearer to all interested parties; 3) requiring that federally funded research programs be categorized by the specific social goals toward which they are directed, to aid in judgments about the relevance of specific public agricultural research programs; 4) requiring information on research programs to be reported in a way that is specifically relevant to the alternative agriculture agenda; 5) formally involving public citizens and farmers in reviewing agricultural research grants to assure that the usefulness of proposed research is weighed along with scientific merit. These proposals complement current interest in making science generally more responsive to national priorities, and are entirely feasible within current agricultural research policy processes. Their effectiveness, however, is limited by the shrinking influence of federal funding in the state agricultural experiment station system, and they are only incremental changes within the existing system rather than radical reforms toward an alternative research system.

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6

Jamieson, B. G. "Agricultural research in the United Kingdom. Present structures of the Agricultural and Food Research Council." Journal of Agricultural Science 113, no. 2 (October 1989): 127–30. http://dx.doi.org/10.1017/s0021859600086676.

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There have been considerable changes during the last ten years in the ways in which agricultural research is organized in many countries. These changes are of interest to our readers and for this reason the Editors have invited the Agricultural and Food Research Council of the United Kingdom to explain present structures within that organization. The Agricultural and Food Research Council receives funds for research directly from the Department of Education and Science (c. £54 million per year) and through commissions from the Ministry of Agriculture, Fisheries and Food (c. £44 million) as well as from commercial and other organizations (c. £13 million). It advises the Department of Agriculture and Fisheries for Scotland, which is the body responsible for the Scottish agricultural research institutes (spending c. £22 million per year), on scientific aspects of the research they finance and also provides support to universities and other educational establishments for the support of scientific studies relevant to agriculture and food.

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7

Holikova, Olena. "Formalisation of agricultural research." Linguistics and Culture Review 5, S4 (November 13, 2021): 1137–53. http://dx.doi.org/10.21744/lingcure.v5ns4.1751.

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As an independent component of modern research in natural sciences, branch research developed as a result of the accumulation of knowledge from three spheres of public activity – agriculture, branch-specific education, and agricultural research – under the influence of a complex interaction of many external factors. The purpose of this study is to investigate the initial stage of formalization of agricultural research as a branch of natural sciences with the development of corresponding sign-symbolic systems and terminology. Based on the study of printed and archival research of the Imperial Free Economic Society (IFES), adjustments were made to the scientific periodization of the history of research as a branch of knowledge, considering the personalized contribution of its luminaries. Forgotten or little-known studies of pioneers of Ukrainian research – the IFES members: Swiss mathematician L. Euler; Russian scientist of Swedish origin, botanist and chemist E.G. Laxman; a native of Chernihiv Region, Professor of agriculture V. P. Prokopovich, and others were introduced into scientific discourse. The present paper analyses the areas of diverse research activities in agriculture, which were conducted by IFES figures at the early stages of the first scientific and economic association in the Russian Empire.

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8

Ismail, Bukhary Ikhwan, Muhammad Nurmahir Mohamad Sehmi, Hishamadie Ahmad, Shahrol Hisham Baharom, and Mohammad Fairus Khalid. "Robotic Research Platform for Agricultural Environment." Journal of Cases on Information Technology 25, no. 1 (August 18, 2023): 1–32. http://dx.doi.org/10.4018/jcit.328579.

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Automation in agriculture has vast potential to enhance productivity in the industry. Incorporating agricultural robotics can significantly improve work efficiency, enhance product quality, reduce expenses, and minimize manual labor. Despite significant advancements in robotic and sensing technologies, their practical implementation in agriculture, particularly in the palm oil sector, remains limited primarily to laboratories and spin-off companies. The utilization of robots in the palm oil complex agricultural environment presents more significant challenges than conventional flat agricultural landscapes, primarily due to the unstructured nature of agricultural settings. Complex coordination is required to address the need for collaboration with human workers, establish long-distance communication networks, and enable autonomous navigation in areas far from power sources. This article explores the various environmental challenges in oil palm plantation estates and in-field operations and proposes a robot built from an all-terrain vehicle into an agricultural robot.

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9

Ilbery, Brian, W. Lockeretz, and M. D. Anderson. "Agricultural Research Alternatives." Geographical Journal 161, no. 1 (March 1995): 99. http://dx.doi.org/10.2307/3059952.

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10

Stumpf, Paul K. "Agricultural Research Initiative." Science 244, no. 4908 (June 2, 1989): 1029. http://dx.doi.org/10.1126/science.244.4908.1029.b.

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11

STUMPF, P. K. "Agricultural Research Initiative." Science 244, no. 4908 (June 2, 1989): 1029. http://dx.doi.org/10.1126/science.244.4908.1029-a.

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12

Borlaug, N. E. "International Agricultural Research." Science 303, no. 5661 (February 20, 2004): 1137–38. http://dx.doi.org/10.1126/science.303.5661.1137.

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13

Harvey, David R. "Agricultural Research Priorities." Outlook on Agriculture 18, no. 2 (June 1989): 77–84. http://dx.doi.org/10.1177/003072708901800206.

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The scientific community worldwide is slowly accepting the fact that the overall cost of R&D is now so enormous that economic factors cannot be ignored and that recipients of grants must accept a measure of accountability and assessment of their performance. This article reviews in general terms, but with special reference to agricultural research what criteria should be taken into account in taking decisions about funding.

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14

Kennedy, Donald. "Building agricultural research." Science 346, no. 6205 (October 2, 2014): 13. http://dx.doi.org/10.1126/science.346.6205.13.

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15

Bachtler, Barbara. "Agricultural research pruned." Nature 353, no. 6345 (October 1991): 595. http://dx.doi.org/10.1038/353595a0.

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16

Gast, Robert G. "Agricultural Research Alternatives." Soil Science 159, no. 4 (April 1995): 283. http://dx.doi.org/10.1097/00010694-199504000-00010.

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17

Thornton, Philip. "Agricultural research alternatives." Agricultural Systems 52, no. 4 (December 1996): 523–24. http://dx.doi.org/10.1016/s0308-521x(96)80455-0.

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18

Davies, Gareth. "Effective agricultural research." Food Policy 14, no. 3 (August 1989): 253–59. http://dx.doi.org/10.1016/0306-9192(89)90043-2.

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19

Albrecht, Stephan, Rolf Meyer, and Elisabeth Bongert. "International Agricultural Research." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 20, no. 2 (August 1, 2011): 61–68. http://dx.doi.org/10.14512/tatup.20.2.61.

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20

Robens, Jane F. "Commentary: overview of agricultural dust research: Agricultural Research Service perspective." Environmental Health Perspectives 66 (April 1986): 81–82. http://dx.doi.org/10.1289/ehp.866681.

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21

Yang, Hong Wei, and Li Ying Zhang. "Research on the Development of Agricultural Mechanical Automation in Mechanical Engineering." Applied Mechanics and Materials 454 (October 2013): 23–26. http://dx.doi.org/10.4028/www.scientific.net/amm.454.23.

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Agricultural mechanization was a research emphasis in mechanical engineering and one of the basic content of modern agriculture, it possessed very significant effect on increasing agricultural productivity. The present status and development tendency on agricultural mechanization at home and abroad were expounded in this paper. Through the analysis of agricultural mechanization to modern agriculture, the theories of promoting the development of precision agriculture, agricultural robots, automatic control were put forward. At last, some advices on speeding up agricultural mechanization in mechanical engineering were given.

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22

Hogsette, Jerome A. "United States Department of Agriculture-Agricultural Research Service research on veterinary pests." Pest Management Science 59, no. 6-7 (2003): 835–41. http://dx.doi.org/10.1002/ps.617.

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23

Shi, Heng Hua, Ya Jun Shi, and Guang Cai Xu. "Research on the Relationship between Agricultural Information and Urban Agriculture Economic Growth." Applied Mechanics and Materials 357-360 (August 2013): 2515–18. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2515.

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Through the universal application of information technology and intelligence tools, agricultural information not only promotes the development of traditional agriculture to modern agriculture, but also promotes the economic growth of urban agriculture based on rural service. With Beijing agricultural information development, we propose a non-weight agricultural information index model based on the analytic hierarchy process. The relationship of agricultural information and urban agricultural economic growth can make some positive measures to further accelerate the economic development of peri-urban agriculture.

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24

Meng, Jiajia, Baoyu Zhao, Yuxiao Song, and Xiaomei Lin. "Research on the Spatial Dynamic Evolution of Digital Agriculture—Evidence from China." Sustainability 16, no. 2 (January 15, 2024): 735. http://dx.doi.org/10.3390/su16020735.

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Digital agriculture serves as a pivotal means of ushering in innovative agricultural practices and achieving sustainable agricultural development. Although agricultural digitalization has received increasing attention, the unbalanced development and regional disparities of digital agriculture are still key obstacles to sustainable agricultural development. Based on the data of 31 provinces in China from 2013 to 2021, this study evaluates the development level of digital agriculture in China, and further analyzes the distribution pattern, spatial characteristics, and transition probabilities of digital agriculture from a regional perspective. The index system of the digital agriculture development level is constructed from five aspects: infrastructure, talent resources, agricultural informatization, the digitization of agricultural production processes, and agricultural production efficiency. Among these, infrastructure and talent resources reflect the resources needed for the development of digital agriculture; agricultural informatization and the digitization of the agricultural production process indicate the role of digitization in the process of agricultural development; and the agricultural production efficiency is the goal of the digital agriculture development, which is a critical criteria of its evaluation. The weighted analysis method of objective sequential analysis, which combines the dynamic level of indicators and sequential relationships, is used to assign weights to the indicators. In addition, to address the regional disparities in the development level of digital agriculture, kernel density estimation, Moran’s index, and (spatial) Markov chain analysis are applied to analyze the spatial dynamic evolution of digital agriculture in China. The findings reveal substantial regional disparities in digital agriculture development within China, particularly in the Western region, where development lags behind. Moreover, this study offers actionable policy recommendations for policymakers to strengthen regional infrastructure and talent cultivation, as well as other aspects of digital agriculture development, to mitigate regional differences and provide reference for other emerging countries.

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25

He, Bin, Dong Qing Wu, and Yu Ni. "Research in Agricultural Technician Distribution Characteristics in Guangdong Province." Advanced Materials Research 457-458 (January 2012): 748–53. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.748.

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Agricultural technician is the direct impetus of agricultural economy. In order to establish an evaluation and prediction model for distribution of agriculture technicians in Guangdong Province, author discuss related theory such as Moran I model and GIS technique. An applicable computing routine was presented in this paper. Based on data from yearbook of agriculture in Guangdong province, we provided some result and conclusions of talent distribution in sample regions. The result reflects the influences of agricultural technicians’ factor to the agricultural economics which may provides decision support for agricultural technicians’ policy.

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26

Hudzari, R. M., M. M. Noorman, M. N. N. Asimi, M. A. M. Atar, and M. Nashriyah. "Engineering Technological in Agriculture Research and Education." Advanced Materials Research 705 (June 2013): 493–98. http://dx.doi.org/10.4028/www.scientific.net/amr.705.493.

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Engineering technological especially on automation and mechanization in agricultural and plantation industry is still new and still under research and development. The application of computer, mechatronics and machines for agricultural production has been one of the outstanding developments in Malaysian agriculture. This paper describes on the recent research at Malaysian public university on the uses of computer and electronics towards machines for the agricultural operations. It has been generally agreed that industrial robotics do not provide sufficient information related to the bioproduction field, although some fundamental theories and technologies were applicable to the bioproduction machine. Agricultural products are diversified and complicated, the environment around the objects changes from time to time, and the machine mechanism should adapt to physical properties and cultivation methods of the biological objects. These are some of the considerations that agricultural mechanization needs to address. Current trend in agriculture is integration with biotechnology application, the demand of which may increase in conjunction with the land capabilities by variety humanity activities. Although adoption of one agriculture activity per house area is a viable strategy in the framework of food security, as in a general, an agricultural production is labour intensive. The agricultural landscape has seen an increase in adoption of modern technologies, be it in small scales, including those in the agro-based manufacturing sector. This, to some extent, has increased the productivity and at the same time decreased the labour dependency. In conclusion, studies on electronic and computer-assisted devices leading to automation for application in agriculture had to be perpetually carried out.

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27

Heinze, Sanna, and Alexander Vogel. "The AFiD-Panel Agriculture: New Potential for Agricultural Research." Schmollers Jahrbuch 130, no. 4 (October 2010): 623–33. http://dx.doi.org/10.3790/schm.130.4.623.

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28

Peters, Debra P. C., Adam Rivers, Jerry L. Hatfield, Danielle G. Lemay, Simon Liu, and Bruno Basso. "Harnessing AI to Transform Agriculture and Inform Agricultural Research." IT Professional 22, no. 3 (May 1, 2020): 16–21. http://dx.doi.org/10.1109/mitp.2020.2986124.

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29

Anderson, Jock R., Robert W. Herdt, and Grant M. Scobie. "The Contribution of International Agricultural Research to World Agriculture." American Journal of Agricultural Economics 67, no. 5 (December 1985): 1080–84. http://dx.doi.org/10.2307/1241376.

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30

Suzuki, Tatsuro, Kenjiro Katus, Nobuo Kochi, and Atsushi Hayashi. "Breeding of Buckwheat in Kyushu Okinawa Agricultural Research Center, NARO." Fagopyrum 40, no. 2 (September 11, 2023): 61–66. http://dx.doi.org/10.3986/fag0035.

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The Kyushu Okinawa Agricultural Research Center is one of the regional agricultural research and development centers of the National Agriculture and Food Research Organization (NARO) in Japan. The center aims to bring NARO’s agricultural technologies to the forefront of agriculture.

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31

Sauer, Richard. "Meeting the challenges to agricultural research and extension." American Journal of Alternative Agriculture 5, no. 4 (December 1990): 184–87. http://dx.doi.org/10.1017/s0889189300003684.

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AbstractThe public agricultural research and extension system has provided the foundation for great improvements in U.S. agricultural production. However, our incomparable productivity has brought with it serious problems. These problems have also led to a rapidly changing perception about both agricultural scientists and today's conventional agriculture. Critics are placing high on the agenda of the agricultural research and extension establishment the need for alternative technologies that are more sustainable and less exploitative of our resources. The growing demand for alternative systems offers challenges for every part of the establishment-research and extension administrators, branch station/research center directors, and faculty. These challenges and how they should be met are discussed. Alternative systems will become the conventional agriculture of tomorrow.

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32

Hallam, D. "AGRICULTURAL RESEARCH EXPENDITURES AND AGRICULTURAL PRODUCTIVITY CHANGE." Journal of Agricultural Economics 41, no. 3 (September 1990): 434–39. http://dx.doi.org/10.1111/j.1477-9552.1990.tb00659.x.

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33

Yue, Shunli. "Research on the Path of Promoting Mechanism of Agricultural Brand Strategy in Hubei Province." Frontiers in Business, Economics and Management 5, no. 3 (October 19, 2022): 329–32. http://dx.doi.org/10.54097/fbem.v5i3.2047.

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Brand is a significant symbol of the comprehensive competitiveness of agriculture, and the development of the whole agricultural industry chain driven by brand is the only way to improve the quality of agricultural development and strengthen the advantages of agricultural market. Agricultural brand building is an important step to accelerate the development of agriculture and an important choice to enhance the competitiveness of Hubei agriculture. As a large agricultural province in Hubei, how to strengthen agriculture and promote the construction of agricultural brand strategy in Hubei is an urgent problem to be solved. The article analyzes the problems and constraints of agricultural brand construction in Hubei and the mechanism of promoting agricultural brand strategy, and systematically proposes the implementation path of agricultural brand strategy in Hubei.

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34

Wang, Shu Rong, Jin Song Zhao, and Song Ze Lei. "The Research on the Intelligent Control of Geographic Information System Design to Agricultural Production." Advanced Materials Research 605-607 (December 2012): 1705–9. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1705.

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Agricultural geographic information system could use the agriculture information database, agricultural resources dynamic monitoring, agricultural management, analysis and decision support, "precision agriculture" demonstration, realizes the intelligent control of agricultural production management, could realize rapid investigation and monitoring in each link of agricultural production, timely diagnosis and analysis, high decision-making and management, thus promoting agricultural modernization.

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35

Jiang, Xinyu. "Research on the Development of Modern Agriculture Industry in Northeast China." Frontiers in Humanities and Social Sciences 4, no. 3 (March 28, 2024): 24–31. http://dx.doi.org/10.54691/1zckf041.

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With the development of the national economy and the continuous improvement of people's living standards, the Northeast region regards agriculture as the cornerstone of the development of the real economy. Detailed divisions have been made for the goals of agricultural development. By integrating existing agricultural resources and utilizing agricultural products and services as means, the region actively upgrades advanced rural production machinery and agricultural cooperative operation models. After a thorough investigation of the basic principles of modern agricultural industry, this study will explore the theoretical foundation issues, strategic choices, and specific countermeasures faced by the modern agriculture industry and enterprises in Heilongjiang, with the aim of providing insights for the development of modern agriculture industry in the Northeast region.

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36

Carruthers, Raymond I. "Invasive species research in the United States Department of Agriculture-Agricultural Research Service." Pest Management Science 59, no. 6-7 (2003): 827–34. http://dx.doi.org/10.1002/ps.616.

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37

Forcella, Frank. "United States Department of Agriculture-Agricultural Research Service research on pest biology: weeds." Pest Management Science 59, no. 6-7 (2003): 754–63. http://dx.doi.org/10.1002/ps.620.

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38

Krechetnikova, E. O., V. V. Krechetnikov, I. E. Titov, and V. K. Kuznetsov. "Geoinformation system for designing adaptive landscape farming systems on the radioactively contaminated territory of the Tula research institute of agriculture." Geoinformatika, no. 4 (2020): 12–19. http://dx.doi.org/10.47148/1609-364x-2020-4-12-19.

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GIS project was developed for the radioactively contaminated territory of the Tulskii NII. It was created in order to project the adaptive landscape agricultures. It was based on the information on the concentrations of 137Cs radionuclide in soil, compiled over 16 years. Electronic maps have been developed to create a GIS project and included the location of agricultural lands; crop rotation systems; distribution of specific activity values for artificial 137Cs radionuclide in agricultural lands; agrochemical indexes (the humus content, potassium content, contribution of phosphorus, the acidity), soil types, relief. The created GIS project and the corresponding data bases will be used to collect, store and analyse the results of the survey in order to project the adaptive landscape agricultures. Key words: GIS project, adaptive landscape agriculture, agricultural lands, radiation safety.

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39

Zang, Dungang, Zhijia Hu, Yunqi Yang, and Siyu He. "Research on the Relationship between Agricultural Carbon Emission Intensity, Agricultural Economic Development and Agricultural Trade in China." Sustainability 14, no. 18 (September 18, 2022): 11694. http://dx.doi.org/10.3390/su141811694.

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Under the interactive background of more emphasis on low-carbon and environmentally friendly agricultural production modes and the coordinated development of agricultural foreign trade, China is paying more and more attention to the coordination between agricultural trade, economic development and ecological agriculture development. This paper selects the relevant data of China from 2002 to 2020 as the research object. Taking the agricultural carbon emission intensity as an indicator of environmental pollution, measuring it and then constructing a time series model for analysis, the research finds that, in the long run, the increase in agricultural carbon emission intensity in China will reduce the level of agricultural trade by 2%, which will also lead to a decline in the overall development level of the agricultural economy by 2 to 4 percent. At the same time, this paper also finds that the current situation of China’s agricultural trade reduces the development of China’s agriculture by 1%, which will also lead to an increase in agricultural carbon emission intensity by about 0.5%. Finally, this paper finds that the development of the agricultural economy makes the overall increase in agricultural trade 2%, and with the development of the agricultural economy, the agricultural carbon emission intensity decreases by 0.1%, but the impact is small. Therefore, it is necessary to improve the construction of a leadership mechanism, implement the development strategy of low-carbon agriculture and provide corresponding financial security and other policy suggestions to promote the coordinated development of China’s agricultural trade and low-carbon agricultural production environment.

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40

An, Tan. "Research on Agricultural Pollution Problems and Prevention Measures in Guangxi Wuxuan County." Public Administration Research 11, no. 2 (May 14, 2022): 1. http://dx.doi.org/10.5539/par.v11n2p1.

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With the continuous advancement of agricultural modernization and rural revitalization, the problem of agricultural pollution has become increasingly prominent. Strengthening the control of agricultural pollution to make agriculture sustainable development, affects the development and destiny of a country's agriculture. By investigating the actual situation of agricultural pollution in Wuxuan County, Guangxi, the main problems of local agricultural pollution are put forward, in view of the existing problems, countermeasures and suggestions are put forward, such as improving the protection awareness of practitioners, improving infrastructure construction, accelerating agricultural transformation and upgrading, and strengthening top-level design.

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41

Xia, Zhengyu, and Zhanming Li. "Research Progress in Facility Agriculture and Lighting by Bibliometric Analysis Based on CiteSpace." Advances in Applied Sciences 9, no. 1 (March 7, 2024): 6–16. http://dx.doi.org/10.11648/j.aas.20240901.12.

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Given the pressures of internation-al market competition, the dual constraints of domestic resources and the environment, and the uncertainties posed by climate change, bolstering agricultural infra-structure construction is a realistic demand and a crucial approach for implementing emerging grain security strat-egies, particularly in developing countries. Facility agriculture is characterized as a modern agricultural production mode that improves or creates favorable environmental conditions within a specific locality. With the rapid expansion of large-scale facility agriculture, there has been an increased demand for various types of energy, including electricity, gas, cold, and heat. Agricultural lighting equipment used in facility agriculture is a modern agricultural technique that applies engineering technology to regulate light supplementation in the production process. Facility lighting offers several advantages over traditional methods, such as higher photovoltaic conversion efficiency, adjustable spectrum, high photosynthetic efficiency, energy efficiency, environmental friendliness, long lifespan, monochromatic light, cold light source, and compact size. Promoting national food security, carbon neutrality, returning farmland to forests, and implementing low-carbon green agricultural policies all contribute to the favorable use of facility agriculture lighting. This study aims to provide a systematic summary of the relevant research conducted in the past decade using Citespace software. The advantage of facility agriculture for carbon sequestration capacity can effectively reduce net carbon emissions from facility agricultural production activities. In addition, the combination of agriculture and the Internet of Things can effectively improve agricultural production efficiency and economic returns. Combining artificial intelligence and other technologies with facility agriculture engineering, based on multi-source data fusion, intelligent early warning for facility agriculture energy internet can be used to prevent agricultural meteorological disasters. More importantly, it helps maintain global food security, eliminate hunger, and reduce economic inequality. The findings of this study will contribute to a deeper understanding of agricultural lighting equipment, serving as a new theoretical foundation for achieving agricultural emission reduction targets and promoting agricultural technical cooperation.

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42

Garcia, Philip, Susan E. Offutt, and Steven T. Sonka. "Assessing Agricultural Research Strategies." Journal of Production Agriculture 1, no. 4 (October 1988): 287–92. http://dx.doi.org/10.2134/jpa1988.0287.

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Farrell, Kenneth R. "Ethics in Agricultural Research." Journal of Production Agriculture 2, no. 3 (July 1989): 193–96. http://dx.doi.org/10.2134/jpa1989.0193.

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44

Lacy, William B., Vernon W. Ruttan, and Carl E. Pray. "Policy for Agricultural Research." Contemporary Sociology 18, no. 5 (September 1989): 753. http://dx.doi.org/10.2307/2073342.

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45

Goldstein, Alan H. "Agricultural Research at Berkeley." Science 264, no. 5164 (June 3, 1994): 1386. http://dx.doi.org/10.1126/science.264.5164.1386.b.

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46

Schneeman, Barbara O. "Agricultural Research at Berkeley." Science 264, no. 5164 (June 3, 1994): 1385–86. http://dx.doi.org/10.1126/science.264.5164.1385.b.

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47

Farrell, Kenneth R. "Agricultural Research at Berkeley." Science 264, no. 5164 (June 3, 1994): 1385. http://dx.doi.org/10.1126/science.264.5164.1385.a.

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48

Schneeman, Barbara O. "Agricultural Research at Berkeley." Science 264, no. 5164 (June 3, 1994): 1385–86. http://dx.doi.org/10.1126/science.264.5164.1385-b.

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49

Anderson, Jock R., and John L. Dillon. "International Agricultural Research Systems." Agricultural Economics 3, no. 4 (December 1989): 257–60. http://dx.doi.org/10.1111/j.1574-0862.1989.tb00089.x.

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50

Yudelman, Montague. "Sub-Saharan agricultural research." Bulletin of the Atomic Scientists 41, no. 8 (September 1985): 35–38. http://dx.doi.org/10.1080/00963402.1985.11456034.

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