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Relevant bibliographies by topics / Agriculture and technology

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Academic literature on the topic 'Agriculture and technology'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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Journal articles on the topic "Agriculture and technology"

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Jia, Hepeng. "Agriculture: science and technology safeguard sustainability." National Science Review 6, no. 3 (March 16, 2019): 595–600. http://dx.doi.org/10.1093/nsr/nwz036.

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Abstract China has traditionally placed tremendous importance on agricultural research. Meanwhile, in recent years, sustainable agriculture has been increasingly highlighted in both policy agenda and the capital market. However, while terms like environmental friendliness, low carbon, organic and green agriculture have become buzzwords in the media, few meaningful discussions have been raised to examine the relationship between science and technology (S&T) development and sustainable agriculture. What's more, some environmentalists stress that sustainable agriculture should abandon modern agriculture's heavy reliance on science and industrialization, making the link between agricultural S&T and sustainable agriculture seem problematic. What is the truth? If S&T are to play an important role in advancing sustainable agriculture, what is the current status of the field? What factors have caused the sustainable development of agriculture in China? At an online forum organized by the National Science Review (NSR), Hepeng Jia, commissioned by NSR executive editor-in-chief Mu-ming Poo, asked four scientists in the field to examine the dynamic relationship between sustainable agriculture and agricultural S&T in the Chinese context. Jikun Huang Agricultural economist at Peking University, Beijing, China Xiaofeng Luo Agricultural economist at Huazhong Agricultural University, Wuhan, China Jianzhong Yan Agricultural and environmental scientist at Southwest University, Chongqing, China Yulong Yin Veterinary scientist at Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China Hepeng Jia (Chair) Science communication scholar at Cornell University, Ithaca, NY, USA

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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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Jahnavi, Mylavarapu Monika. "Information Technology and Indian Agriculture." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-ICDEBI2018 (October 3, 2018): 255–57. http://dx.doi.org/10.31142/ijtsrd18717.

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Upendra, R. S., I. M. Umesh, R. B. Ravi Varma, and B. Basavaprasad. "Technology in Indian agriculture - a review." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (November 1, 2020): 1070. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp1070-1077.

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Optimization of agricultural practices for enhanced crop yield is considered to be essential phenomena for the countries like India. In order to strengthen the economy and also to meet the food demand for the exponentially growing population, optimizing the agricultural practices has become necessity. In India, weather and geographical conditions are highly variable and were thought to be the major bottleneck of agricultural practices to achieve improved crop yield. Agricultural practices in India are facing many challenges such as change in climatic conditions, different geographical environment, conventional agricultural practices; economic and political scenario. Economic loss due to the lack of information on crop yield productivity is another major concern in the country. These hurdles can be overcome by the implementation of advanced technology in agriculture. Some of the trends observed are smart farming, digital agriculture and Big Data Analytics which provide useful information regarding various crop yields influencing factors and predicting the accurate amounts of crop yield. The exact prediction of crop yield helps formers to develop a suitable cultivation plan, crop health monitoring system, management of crop yield efficiently and also to establish the business strategy in order to decrease economic losses. This also makes the agricultural practices as one of the highly profitable venture. This paper presents insights on the various applications of technology advancements in agriculture such as Digital Agriculture, Smart Farming or Internet of Agriculture Technology (IoAT), Precision Agriculture, Crop Management, Weed and Pest control, Crop protection and Big data analytics.

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Lv, Yan Hang, and Rui Zhang. "Ecological Agriculture Technology in Urban Agriculture." Advanced Materials Research 224 (April 2011): 38–41. http://dx.doi.org/10.4028/www.scientific.net/amr.224.38.

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Farming in city is the most significant practice of Urban Agriculture with important social and economic impact. It constructs a stable and sustainable eco-recycling system, utilizing daily waste for crops irrigation, livestock breeding and energy production. And these ecological technologies will be discussed about ecological characters, scientific principles and operation steps, to present the artificial agro-ecosystem efficiently in limited space.

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LE RICHE, W. H. "High-Technology Agriculture." Science 228, no. 4698 (April 26, 1985): 391–92. http://dx.doi.org/10.1126/science.228.4698.391.

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Luo, Yang. "Application of Block-chain Technology in the Development of Functional Agriculture." Lifelong Education 9, no. 6 (September 28, 2020): 170. http://dx.doi.org/10.18282/le.v9i6.1334.

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with the continuous growth of national economic income and the gradual improvement of health consciousness, the public not only put forward higher requirements for the type, quality and safety of agricultural products, but also began to pay more attention to the health function of agricultural products. Therefore, on the basis of ensuring the supply of high quality and safe agricultural products, through the development of ecological high value agriculture, further planting and cultivating agricultural products with full health care function has become the development direction of agriculture in the future.However, due to the influence of soil conditions, climate environment, management reputation and other factors, the asymmetric information hidden behind the current functional agriculture in China directly affects the healthy development of functional agriculture. Applying block chain technology to the development of functional agriculture can not only innovate the new mode of agricultural economic development, but also effectively eliminate all kinds of obstacles to development under information asymmetry, thus accelerating the development of functional agriculture.

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Soloviev, Dmitry Aleksandrovich, Larisa Anatolyevna Zhuravleva, and Rinat Nagimovich Bakhtiev. "Digital technology in agriculture." Agrarian Scientific Journal, no. 11 (November 14, 2019): 95–98. http://dx.doi.org/10.28983/asj.y2019i11pp95-98.

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The article discusses the possibility of improving the technology of tillage, fertilizers, pesticides and irrigation through the integrated introduction of digital technologies and intellectual-advising control systems of agricultural machines. In Saratov State Vavilov Agrarian University conducted research of control systems of agricultural machinery, providing remote control operation, collecting and transmitting information on the status of implementation of technological operations, based on the use of computer technology. A robotic platform is being developed for the use of attachments that perform technological operations of fertilization and irrigation on the basis of the principle of "precision farming". The control system of the robotic irrigation complex is being improved.

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Khan, Nawab, Ram L. Ray, Ghulam Raza Sargani, Muhammad Ihtisham, Muhammad Khayyam, and Sohaib Ismail. "Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture." Sustainability 13, no. 9 (April 27, 2021): 4883. http://dx.doi.org/10.3390/su13094883.

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The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one. This radical change has shaken existing farming techniques and produced the latest prospects in a series of challenges. This comprehensive review article enlightens the potential of the IoT in the advancement of agriculture and the challenges faced when combining these advanced technologies with conventional agricultural systems. A brief analysis of these advanced technologies with sensors is presented in advanced agricultural applications. Numerous sensors that can be implemented for specific agricultural practices require best management practices (e.g., land preparation, irrigation systems, insect, and disease management). This review includes the integration of all suitable techniques, from sowing to harvesting, packaging, transportation, and advanced technologies available for farmers throughout the cropping system. Besides, this review article highlights the utilization of other tools such as unmanned aerial vehicles (UAVs) for crop monitoring and other beneficiary measures, such as optimizing crop yields. In addition, advanced programs based on the IoT are also discussed. Finally, based on our comprehensive review, we identified advanced prospects regarding the IoT, which are essential tools for sustainable agriculture.

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Jia, Hui Mian. "Research on the Increase of Agriculture Economy of China with the Development of Information Technology." Advanced Materials Research 926-930 (May 2014): 3914–17. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3914.

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The contents, statistics, composition and challenge of agriculture-information are discussed in this paper. The influence of agriculture-information on the intensive growth of agriculture is analyzed empirically, which indicates that information has become an important production factor. Though without certain form, information promotes intensive growth of agricultural economy by increasing the quality of production factor including labor, land and capital. The mechanism in which agriculture-information influences the intensive growth of agricultural economy is promoting the accumulation, structure studied theoretically, which includes optimizing and of agriculture; accelerating agricultural knowledge technological progress and extension; creating transparent information environment to optimize the allocation of resource; promoting scientific management of agriculture and civilization of rural human resource; strengthening the function of agricultural cooperative organization and spurring on the improvement of agricultural economic environment.

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Dissertations / Theses on the topic "Agriculture and technology"

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Zilverberg, Cody John. "Agriculture, technology, and conflict." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1223.

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Amaral, Luiz Fernando do. "ICT and agricultural development: the impacts of information and communication-technology on agriculture." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/101/101131/tde-04072017-113450/.

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Within a context of continuous population and economic growth, the future projections for agricultural products\' demand is impressive. At the same time, agriculture already exercises significant pressure on natural resources. As a consequence, the world needs to produce higher agricultural volumes while limiting agriculture\'s impacts on the environment. This thesis evaluates whether empirical indications exist that demonstrate how Information and Communication Technology (ICT) infrastructure development and usage could impact the sustainable development of agriculture. Drawing from the empirical literature on infrastructure\'s impacts on development, two statistical models are created. The first analyses impacts of Internet and mobile usage on cereal yields at a country level using Fixed Effects Panel Regression for 212 countries in five 5-year periods, from 1990 to 2014. The second uses a Propensity Score Matching Model to evaluate how the installation of 3G technology during the period between 2005 and 2009 in Brazilian municipalities located in the Amazon region affected deforestation. Based on the methodology and datasets used, results indicate that the growth of Internet users could have a positive impact on cereal productivity in a country. Results for mobile device users are inconclusive. Finally the second models indicate that municipalities in which 3G technology was installed had lower deforestation rates than similar municipalities lacking 3G technology.
Em um contexto de crescimento populacional e econômico, as projeções de demanda para produtos agrícolas no futuro são expressivas. Ao mesmo tempo, a agricultura já exerce pressão significativa nos recursos naturais do planeta. Como consequência, é preciso obter maior oferta de produtos e, ao mesmo tempo, limitar o impacto ambiental da atividade agrícola. Essa tese avalia o papel da infraestrutura e uso de Tecnologia da Informação e Comunicação (TIC) no desenvolvimento sustentável da agricultura. Baseando-se na literatura empírica sobre impacto de infraestrutura no desenvolvimento, dois modelos estatísticos foram criados. O primeiro analisa os impactos do uso de internet e telefones celulares na produtividade de cereais utilizando uma regressão em painel de efeitos fixos para 212 países no período entre 1990 e 2014. O segundo utiliza um modelo Propensity Score Matching para avaliar o impacto da instalação de tecnologia 3G no desmatamento de municipios localizados na região da Amazônia Legal brasileira. De acordo com a metodologia e dados utilizados, os resultados indicam que um crescimento no uso da internet pode positivamente impactar a produtividade de cereais em um país. Para o caso do uso de telefones celulares os resultados são inconclusivos. Finalmente, de acordo com o modelo, há indicações de que municipios que receberam a tecnologia 3G no período estudado tiveram taxas de desmatamento reduzidas quando comparadas a municipios similares que não receberam a tecnologia.

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Donkoh, Samuel Arkoh. "Technology adoption and efficiency in Ghanaian agriculture." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445744.

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The study seeks to find out the socio-economic factors that explain the adoption of Green Revolution technology and its effects on output/efficiency and consumption expenditure among agricultural households in Ghana. The method of analysis involves probit estimation of the adoption model, a stochastic frontier estimation of the inefficiency model and a maximum likelihood estimation of a consumption equation. The consumption model was estimated within the frame work of Heckman's two stage method of correcting for sample selection. The proportion of GR input adoption was found to be greater for the following: households whose heads have formal education, households with higher levels of non-farm income, credit and labour supply as well as those living in urban centres. Efficiency is greater for the following: households whose heads had no education, households living close to extension centres, in the rural areas and in the south of the country. Efficiency is also greater for male-headed households, large households and small farms. In addition to education and credit, we found households' assets, living in the forest belt and in the south of the country to be positively related to households' consumption. Unsurprisingly, household size was found to be negatively related to consumption. Technology adoption was found to have positive effects on households' output and consumption expenditure. It is recommended that technology adoption be taken seriously by increasing the levels of complementary inputs like credit, extension services and infrastructure. Also, households must be encouraged to plan their families while they form farmer groups as an important source of farm labour. Above all, the fundamental problems of illiteracy, inequality and lack of effective markets must be addressed through increasing the levels of formal and non-formal education, equitable distribution of the 'national cake' and a more effective management of the ongoing Structural Adjustment Programme.

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Nieto, Rubén D. "The dairy technology systen in Venezuela /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846885776457.

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Castillo, Armando Gustavo Medina. "The public agricultural technology system in Ohio /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487857546387964.

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Gandonou, Jean-Marc A. "ESSAYS ON PRECISION AGRICULTURE TECHNOLOGY ADOPTION AND RISK MANAGEMENT." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_diss/227.

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Precision agriculture (PA) can be defined as a set of technologies that have helped propel agriculture into the computerized information-based world, and is designed to help farmers get greater control over the management of farm operations. Because of its potential to spatially reduce yield variability within the field through variable rate application of nutrients it is thought to be a production risk management instrument. Subsurface drip irrigation (SDI) is another production risk management technology that is generating interest from the farming community as a result of new technological improvements that facilitate equipment maintenance and reduces water consumption.In the first article the production risk management potential of these two technologies was investigated both for each technology and for a combination of the two. Simulated yield data for corn, wheat and soybeans were obtained using EPIC, a crop growth simulation model. Mathematical programming techniques were used in a standard E-V framework to reproduce the production environment of a Kentucky commercial grain farmer in Henderson County. Results show that for risk averse farmers, the lowest yield variability was obtained with the SDI technology. The highest profit level was obtained when the two technologies were combined.Investment in two sets of equipments (PA and SDI) to maximize profitability and reduce risk could however expose many farm operations to financial risk. In the second article, a discrete stochastic sequential programming (DSSP) model was used to analyze the impact of PA and/or SDI equipment investment on the farm's liquidity and debt to asset ratio.In the last article, the cotton sector in Benin, West Africa, was utilized to study the transferability of PA technology to a developing country. Properly introduced, precision agriculture (PA) technology could help farmers increase profitability, improve management practices, and reduce soil depletion. An improved production system could also help farmers better cope with the policy risk related to cotton production. Results from the two models show that PA is less profitable for the risk neutral farmer but more profitable for the risk averse one when compared to conventional production practices. The adoption of the new technology also has very little impact on the choice of crop rotation made by the farmer.

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Steel, John A. C. "Social factors constraining the uptake of technology in agriculture." Thesis, University of Newcastle Upon Tyne, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283095.

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Drape, Tiffany A. "Teaching with Technology in an Agriculture Associate's Degree Program." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29112.

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Students in any educational setting need to learn how to integrate and successfully use technology to be successful in a future career. While no one educational system can teach every skill, faculty can help integrate technology and model skills that students will need later in life. Using Rogersâ Diffusion of Innovations as a model, the researcher examined technology integration and how it affected engagement, motivation, and learning in the classroom setting. The purpose of this study was to investigate the phenomenon of technology integration in an agriculture associateâ s degree program and evaluate the program from the faculty and student perspective. Ninety-six students enrolled in an agriculture associateâ s degree program served as the case study group. A qualitative approach guided the inquiry of the study and was represented through observations, participant interviews, and video collection using Noldus Observer. Findings indicated that technology integration was being implemented in a purposeful way and the faculty work together to make decisions regarding what to integrate for the studentsâ use in their courses. Technology integration decisions were supported by the faculty and program leader. Students viewed the technology as beneficial to their learning while enrolled in the program and as an asset when they graduated. Students reported that they felt as though technology was helping them remain engaged and motivated in the program. Students who participated in the recommend that the faculty use the course management system more efficiently to streamline content to students and the faculty use more features that the system offers such as chat and discussion boards. Students expressed a belief that these practices would help keep students more engaged during class time and help them locate resources more efficiently. It is recommended that faculty work to offer a blended learning experience in the classroom, with group work or guided practice. Finally, as an alternative to traditional assessment, it is recommended that faculty members in the program encourage students to work with technology outside of class to create videos or podcasts to illustrate what they are learning.
Ph. D.

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Maldonado, Saul. "Antecedents of technology adoption in agriculture in developing nations." Diss., University of Pretoria, 2021. http://hdl.handle.net/2263/81320.

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Understanding the antecedents determining technology adoption in agriculture is essential to promote technology adoption to improve agricultural productivity in developing nations. The aims of this research were to understand the meaning of technology adoption for people involved in farming activities in developing nations, the antecedents determining technology adoption, their effect and how their interaction influences decision-making with regards to technology implementation in agriculture in developing nations. This study was qualitative in nature and followed an exploratory approach. This allowed the researcher to gain and understand new insights about the antecedents determining technology adoption in agriculture in developing nations. A total of 12 synchronous online semi-structured interviews were conducted with farmers and agriculture technicians from developing nations where the reliance on the agriculture sector is high. These interviews were analysed using thematic content analysis approach which led to the development of ‘The antecedents determining technology adoption in agriculture in developing nations’ Framework. This Framework refuted literature findings which highlighted the existence of four antecedents determining technology adoption in agriculture in these nations. Five predominant antecedents namely: awareness; financial assistance; applicability of technology; training and technical support; and demonstrations were identified in this study. This framework explains that the interaction of the identified antecedents is essential to foster technology adoption among farmers in developing nations and is important for stakeholders since it can provide a better understanding and guidance for the creation of integrated strategies to improve technology adoption in agriculture in developing nations.
Mini Dissertation (MBA)--University of Pretoria, 2021.
Gordon Institute of Business Science (GIBS)
MBA
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Cossette, Maximillion Kirk. "Precision Agriculture Technology Adoption and Usage in North Dakota." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31554.

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The world population is projected to rise, and there is a growing concern of future food availability. Precision agriculture technologies are one solution to this problem as they aim to produce more food on less land. This study examines the adoption and intensity of precision agriculture technology usage by producers in North Dakota. Data from a North Dakota State University survey was collected and analyzed using an econometric double-hurdle model. Results of the study describe which producers adopt precision agriculture technologies, which technologies complement each other, and what affects the intensity of technology usage. Several technologies were found to have complementary effects on each other, larger farms are more likely to adopt PATs, and crop choices have varying impacts on the adoption and usage of PATs. Most of these findings agree with previous literature, although new light was shed on some new findings and predictions.

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Books on the topic "Agriculture and technology"

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Burton, L. DeVere. Agriscience & technology. Albany, N.Y: Delmar, 1992.

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Burton, L. DeVere. Agriscience & technology. 2nd ed. Albany: Delmar Publishers, 1998.

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Bundgaard, Kristian. Agriculture research and technology. Hauppauge, N.Y: Nova Science Publishers, Inc., 2010.

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Gianinazzi, Silvio, Hannes Schüepp, José Miguel Barea, and Kurt Haselwandter, eds. Mycorrhizal Technology in Agriculture. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8117-3.

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Mark, Lambert. Farming technology. New York: Bookwright, 1990.

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Anderson, Margot. International technology transfer in agriculture. [Washington, DC]: U.S. Dept. of Agriculture, Economic Research Service, 1989.

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Metal Fabrication Technology for Agriculture. Clifton Park, NY: Thomson/Delmar Learning, 2004.

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Thomas, M. Israel. Participatory technology development. Jodhpur: Scientific Publishers (India), 2012.

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Mann, Stefan. Socioeconomics of Agriculture. Cham: Springer Nature, 2018.

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Pawde, B. B. Adoption and impact of new agricultural technology on tribal agriculture. New Delhi: Serials Publications, 2008.

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Book chapters on the topic "Agriculture and technology"

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Sherwood, Andrew N., Milorad Nikolic, John W. Humphrey, and John P. Oleson. "Agriculture." In Greek and Roman Technology, 88–157. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: Routledge sourcebooks for the ancient world: Routledge, 2019. http://dx.doi.org/10.4324/9781315682181-4.

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Benech-Arnold, Roberto L., M. Verónica Rodriguez, and Diego Batlla. "Seed Dormancy Seed dormancy and Agriculture agriculture/agricultural , Physiology." In Encyclopedia of Sustainability Science and Technology, 9145–56. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_192.

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Kanematsu, Yuichiro, Kazutake Oosawa, and Yasunori Kikuchi. "Agriculture." In Energy Technology Roadmaps of Japan, 405–14. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55951-1_27.

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Montero, Juan I., Esteban Baeza, Pere Muñoz, Esther Sanyé-Mengual, and Cecilia Stanghellini. "Technology for Rooftop Greenhouses." In Urban Agriculture, 83–101. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57720-3_6.

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Oliver, David M., and Louise A. Heathwaite. "Pathogen agriculture/agricultural soils pathogen transfer and Nutrient Transfer agriculture/agricultural soils nutrient transfer Through and Across Agricultural Soils agriculture/agricultural soils." In Encyclopedia of Sustainability Science and Technology, 7667–93. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_49.

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Lal, Rattan. "Technology Without Wisdom." In Sustainable Agriculture Reviews, 11–14. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9654-9_3.

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Mortvedt, John J. "Micronutrient Fertilizer Technology." In Micronutrients in Agriculture, 523–48. Madison, WI, USA: Soil Science Society of America, 2018. http://dx.doi.org/10.2136/sssabookser4.2ed.c14.

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Zeng, Xiongsheng. "Agriculture." In A History of Chinese Science and Technology, 351–429. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44257-9_6.

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Poincelot, Raymond P. "Future Technology." In Toward a More Sustainable Agriculture, 207–33. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-1506-3_10.

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Xu, Dawei, Weiqi Wang, Liehuang Zhu, and Ruiguang Li. "Research Status and Prospect of Blockchain Technology in Agriculture Field." In Communications in Computer and Information Science, 86–93. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4922-3_7.

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AbstractAgriculture 4.0 is the era of integrating intelligent technologies in agriculture. Problems such as low informatization, food safety, high management cost and imbalance between supply and demand in agriculture have greatly hindered the development of agriculture. The various properties of blockchain technology can make up for the lack of agricultural mechanism, and the fusion of the two is a hot issue in the application of blockchain. Blockchain technology has already had some application cases in the field of agriculture. Based on the research status of Chinese and foreign scholars in this field, this paper firstly introduces the basic overview of blockchain. Then, with agricultural supply chain and agricultural product traceability as the core, it describes the application of blockchain technology in the agricultural field, and further explores solutions to different application problems. Finally, combined with the practical application of “agriculture + blockchain”, relevant Suggestions are proposed to provide reference for cross-disciplinary research.

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Conference papers on the topic "Agriculture and technology"

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Raikov, Alexander, and Viktor Medennikov. "Creating the requirements to the national platform "Digital Agriculture"." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce27715a3742.47428784.

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The paper addresses the issue of creating the requirements for the development of the Russian national platform "Digital Agriculture" on the bases of collecting, formalizing and analyzing data on the current and forecasting states of the processes of using digital technologies in the agricultural economy sector at the federal and regional levels, as well as the world experience of digitalization. The national strategy agriculture goals were used as the criteria for analyzing the situation connected with the issue of creating the national platform. Currently, the agricultural sector of the country's economy has more than ten large information systems that require to be integrated to achieve the goals of the country's agricultural development. The list of problems of developing the processes of agriculture digitalization was made. The special author’s convergent strategic methodology was used for formulating the requirements that ensure the conditions for the purposefulness and sustainable convergence of the process of creating the national platform. About fifty requirements were formulated for creating sub-platforms and digital services of the national platform "Digital Agriculture". It was also used the methods of cognitive modelling and the inverse problem solving for taking into account changes in the importance of roadmap’s events of making the sub-platforms and digital service over time.

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Muhtarom, Abid, and Tri Haryanto. "Agriculture Land and Technology: Agricultural Production in the Welfare Improvement." In Mulawarman International Conference on Economics and Business (MICEB 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/miceb-17.2018.29.

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gupta, Saurabh, Robesh Maity Sr, and Shrirang Kulkarni cEng. "Technology Driven Sustainable Agriculture Solution." In 8th SAEINDIA International Mobility Conference & Exposition and Commercial Vehicle Engineering Congress 2013 (SIMCOMVEC). 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2013. http://dx.doi.org/10.4271/2013-01-2755.

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Mittal, Arpit, Niladri Nandan Sarma, A. Sriram, Trisha Roy, and Shriya Adhikari. "Advanced Agriculture System Using GSM Technology." In 2018 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2018. http://dx.doi.org/10.1109/iccsp.2018.8524538.

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Mohapatra, Subasish, Pratik Srichandan, Subhadarshini Mohanty, Harkishen Singh, and Prashanta Kumar Patra. "Smart Agriculture: An Approach for Agriculture Management using Recent ICT." In 2018 International Conference on Information Technology (ICIT). IEEE, 2018. http://dx.doi.org/10.1109/icit.2018.00047.

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Fedorov, A. D., O. V. Kondratieva, O. V. Slinko, and VA Vojtyuk. "RESOURCES TECHNOLOGY IN APC - IMPORTANT FACTOR IN THE WORLD." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS Volume 2. DSTU-Print, 2020. http://dx.doi.org/10.23947/interagro.2020.2.412-414.

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The importance of resource-saving technologies in the production of agricultural products in ensuring the food security of the Russian Federation is considered. The main factors that need to be taken into account when introducing resource-saving technologies in agriculture are given.

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Nagchaudhuri, Abhijit, Madhumi Mitra, Carolyn Brooks, Tracie J. Earle, Gabriel Ladd, and Geoffrey L. Bland. "Integration of Mechatronics, Geospatial Information Technology, and Remote Sensing in Agriculture and Environmental Stewardship." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15019.

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University of Maryland Eastern Shore (UMES) is located in the eastern shore region of Delmarva Peninsula. Rural environment of the region and the proximity to Chesapeake Bay makes agricultural needs and environmental concerns some of the key issues in the area. Precision Agriculture integrates advanced mechatronics, geoinformatics, and remote sensing to address these issues in an effective manner. This paper will highlight ongoing efforts to develop the infrastructure for this advanced technology driven agricultural practice at UMES that has significant intersection with broad umbrella of the field of "Mechatronics". Particular emphasis will be on integration of yield monitor and a GPS unit with the existing UMES combine/mechanical harvester; remote sensing from UAV (Unmanned Aerial Vehicle), RAV (Remote Controlled Aerial Vehicle), and manned airplane equipped with camera systems; advanced technologies for sensing and monitoring, datalogging, and wireless transmission of environmental data; geospatial information technology; future plans involving variable rate application of nutrients and fertilizers. The paper will also describe aspects of three ongoing multidisciplinary projects titled (i) Environmentally Conscious Precision Agriculture (ECPA); (ii) Airborne Science and Technology Institute (ASTI) and (iii) Aerial Imaging and Remote Sensing for Precision Agriculture and Environmental Stewardship (AIRSPACES) that have contributed significantly in advancing the broad project goals that are not only consistent with the economic necessities of the region but also the land grant mission of UMES.

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"5 Precision Agriculture." In CIGR Handbook of Agricultural Engineering Volume VI: Information Technology . St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.21676.

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Vargas, Ruben, Bennett Miller, Gabriel Anhalzer, Mohammed Al Hasani, Heinz Boehmer Fiehn, Jiashu Yang, Soham Tamhane, and Alan Mickelson. "Smart Agriculture in Uganda." In 2019 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2019. http://dx.doi.org/10.1109/ghtc46095.2019.9033021.

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Rekha, B. U., Veena V. Desai, Pratigya S. Ajawan, and Sunil Kumar Jha. "Remote Sensing Technology and Applications in Agriculture." In 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS). IEEE, 2018. http://dx.doi.org/10.1109/ctems.2018.8769124.

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Reports on the topic "Agriculture and technology"

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Borch, Thomas, Dionysios Dionysiou, Lynn Katz, Pei Xu, Richard Breckenridge, Kirk Ellison, Jessica Fox, Jordan Macknick, David Sedlak, and Jennifer Stokes-Draut. National Alliance for Water Innovation (NAWI) Technology Roadmap: Agriculture Sector. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1782447.

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Gupta, Apoorv, Jacopo Ponticelli, and Andrea Tesei. Information, Technology Adoption and Productivity: The Role of Mobile Phones in Agriculture. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27192.

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Solovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.

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t.The development of global agricultural production and food trade in recent decades implies a digital transformation and the transition to a new technological order, which is an essential factor for sustainable development. Digitalization of agriculture and the food sector is carried out on the basis of IT 2 platforms, the Internet of Things, cloud computing, big data, artificial intelligence, and blockchain technology. Fragmented and unclear legal mechanisms, slow updating of legal regulation hinder the introduction of digital solutions. A modern regulatory framework based on digital strategies should strengthen the confidence of farmers in "smart agriculture". In Russia, the legal mechanism of strategic planning covers the development of the national platform "Digital Agriculture". Digital strategies also include updating basic legislation.

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Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

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Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their implementation, but also is a source of a number of social and legal problems. A modern regulatory framework based on digital strategies should strengthen "smart agriculture". In Russia, the legal mechanism of digital transformation and development of the national platform "Digital Agriculture" should be supported by updated basic legislation.

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Salazar, Lina, Alessandro Maffioli, Julián Aramburu, Lucas Figal Garone, and César Augusto López. Program for Support of Innovation in Agricultural Technology. Inter-American Development Bank, June 2019. http://dx.doi.org/10.18235/0001764.

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Balana, Bedru, and Motunrayo Oyeyemi. Credit constraints and agricultural technology adoption: Evidence from Nigeria. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.133937.

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Banerjee, Sharbendu, Fraser Norton, Lucy Karanja, and Mahrukh Siraj. Using mobile technology to help farmers make better agricultural decisions. Wallingford: CABI, 2014. http://dx.doi.org/10.1079/cabicomm-64-56.

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Balana, Bedru, Motunrayo Oyeyemi, and Todd Benson. Do credit constraints affect agricultural technology adoption? Evidence from Nigeria. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.134000.

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Corral, Carolina, Xavier Giné, Aprajit Mahajan, and Enrique Seira. Autonomy and Specificity in Agricultural Technology Adoption: Evidence from Mexico. Cambridge, MA: National Bureau of Economic Research, August 2020. http://dx.doi.org/10.3386/w27681.

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Betty, Rita G., Jill Marie Bieker, and Mark David Tucker. Agricultural pathogen decontamination technology-reducing the threat of infectious agent spread. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/883470.

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