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Journal articles on the topic 'Agriculture and technology'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

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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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

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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4

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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6

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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7

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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8

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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9

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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10

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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11

De Baerdemaeker, Josse. "Precision Agriculture Technology and Robotics for Good Agricultural Practices." IFAC Proceedings Volumes 46, no. 4 (2013): 1–4. http://dx.doi.org/10.3182/20130327-3-jp-3017.00003.

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12

Roberson, Gary T. "Precision Agriculture Technology for Horticultural Crop Production." HortTechnology 10, no. 3 (January 2000): 448–51. http://dx.doi.org/10.21273/horttech.10.3.448.

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Precision agriculture is a comprehensive system that relies on information, technology and management to optimize agricultural production. While used since the mid-1980s in agronomic crops, it is attracting increasing interest in horticultural crops. Relatively high per acre crop values for some horticultural crops and crop response to variability in soil and nutrients makes precision agriculture an attractive production system. Precision agriculture efforts in the Department of Biological and Agricultural Engineering at North Carolina State University are currently focused in two functional areas: site-specific management and postharvest process management. Much of the information base, technology, and management practices developed in agronomic crops have practical and potentially profitable applications in fruit and vegetable production. Mechanized soil sampling, pest scouting and variable rate control systems are readily adapted to horticultural crops. Yield monitors are under development for many crops that can be mechanically harvested. Investigations have begun to develop yield monitoring capability for hand harvested crops. Postharvest controls are widely used in horticultural crops to enhance or protect product quality.

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13

Adawo, M. A. "Women in agriculture and appropriate technology in Nigeria." South African Journal of Economic and Management Sciences 4, no. 1 (March 31, 2001): 90–98. http://dx.doi.org/10.4102/sajems.v4i1.2631.

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There is no doubt that agricultural growth in Nigeria has been on the decline. This is largely so because agricultural policies have a bias towards inappropriate technology, and fail to recognise women as the centrepiece in agriculture. The position taken in this paper is that women are in fact the pivot in Nigerian agriculture, and whatever technology is developed, should be in line with their needs. Such technology should involve a simple but mechanical form of weeding, the use of improved organic fertilizer and efficient methods of livestock husbandry.

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14

Duan, Yun Peng, Chun Xi Zhao, and Zhuo Tian. "Application of the Internet of Things Technology in Agriculture." Applied Mechanics and Materials 687-691 (November 2014): 2395–98. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2395.

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Across the Internet of things industry computer, communication, network, intelligent computing, sensors, embedded systems, several technical fields such as microelectronics, Internet of things technology applied in agriculture, can realize the wisdom agriculture and agricultural IOT, this paper expounds the concept of Internet of things and the relevant technology of the Internet of things and Internet of things technology in agriculture in many applications.

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15

Mona Hamed, Mona Hamed, Abubaker Haroun Mohamed Adam, Mohamed Ali Dawoods, and Ismail Mohamed Fangama. "Towards Implementing the Integrated Technology of Precision Agriculture in Sudan." Journal of Agronomy Research 1, no. 2 (October 18, 2018): 35–45. http://dx.doi.org/10.14302/issn.2639-3166.jar-18-2331.

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This study reviews the agricultural development perspective in the light of a rapid space technology development. In other words, precision agriculture as part of geoinformatics. The aim is to quantify whether the adopted technology can improve the efficiency of agricultural fields management and production to attain food security. Therefore, views of targeted groups from different States of Sudan were investigated, using stratified sampling method. Where quantitative statistics (descriptive/inductive techniques) was applied. About 800 questionnaires were distributed. The outcomes of data analysis reflected that the majority of interviewed groups 357 (82.1%) do not know the principles and application of integrated technology in the field of agricultural management. 85.3% of respondents know nothing about computer program related to precision agriculture. The majority of the respondents (84.6 %), did not get courses on precision agriculture during the under graduate study. The result also revealed that only 11.8% of the respondents use modern techniques in land preparation, 16.1 % in soil analysis, 12.5 % in the field of seed technology, and 11.4% in crop harvesting. However, 53.9% of the respondents reported that their Departments did not care about training on agricultural precision. Nevertheless, 24.3 % of the respondents got trained on precision agriculture through personal efforts, while about 19% got trained by their respective Departments. In regard to education, 16% of the respondents got trained on precision agriculture at undergraduate and only 9% after graduation. The study concludes that despite the rapid technological development, agriculture in Sudan remained lagging, and the productivity is below the expectation. It recommends that the Ministries of Agriculture in different States in Sudan should take the issue of introduction of new technology seriously to boost the agricultural development to attain food security.

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16

C, Sagunthala, and Sukesh R. "Information technology and knowledge management to improve theindian agribusinesssupply chain." Journal of Management and Science 6, no. 3 (December 31, 2016): 295–300. http://dx.doi.org/10.26524/jms.2016.29.

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Indian agriculture is a complex enterprise involving millions of small and marginal farmers. Agriculture in India is the most important sector for food security and socio-economic development. Agriculture accounted for about 18 per cent of the GDP and employed about 50% of the country’s population. As agriculture has become more complex, farmers’ access to reliable, timely, and relevant information has become increasingly important. Farmers require access to more varied, multisource and context-specific information, related not only to best practices and technologies for crop production and weather, but also to information about post-harvest aspects, including processing, marketing, storage, and handling. An effective agricultural knowledge management system with effective Information Technologycan trigger continuous innovations in overall development of agriculture. Information Technology can revolutionize Indian farming sector and can benefit all farmers, including small land holders, marginalized and poor farmers.This article attempts to express the current status ofthe infrastructure with respect to the use of information technology in agriculture and study the importance of knowledge management and information technology in agricultural infrastructure on agriculturesupply chain.

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17

Kaushal, Anshika. "Overview of IoT and Blockchain Technology in Smart Agriculture." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 2021): 1908–13. http://dx.doi.org/10.22214/ijraset.2021.36765.

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The digital breach between applications of IoT and agriculture decaying from the last few years. As we know nowadays the latest technologies such as Blockchain technology etc. are blooming. And the combination of IoT and these blooming technologies will allow in improvisation of productivity through the sustainable cultivation of food, efficient use of water, food security, food chain supply, transactions efficiency, transparency of food safety, e.t.c. Thus, in this paper, applications of “ IoT” in agriculture have been analyzed and studied, also this paper concisely introduced the technology IoT, agriculture sector, benefits of IoT in agriculture, and presents a review of some literature. The purpose of this paper is to elaborate the ongoing studies and research on smart agriculture using the recent combination of IoT, Blockchain Technologies to fix a variety of agriculture’s problems.

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18

Roberson, Gary T. "644 Precision Agriculture Technology for Horticultural Crop Production." HortScience 34, no. 3 (June 1999): 558E—558. http://dx.doi.org/10.21273/hortsci.34.3.558e.

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Precision agriculture is a comprehensive system that relies on information, technology, and management to optimize agricultural production. While used for several years in agronomic crops, it is attracting increasing interest in horticultural crops. Relatively high per-acre crop values for some horticultural crops makes precision agriculture an attractive production system. Precision agriculture efforts in biological and agricultural engineering at North Carolina State Univ. are currently focused in two functional areas: site specific managment (SSM) and postharvest process managment (PPM). Much of the information base, technology, and management practices developed in agronomic crops have practical and potentially profitable applications in fruit and vegetable production. Mechanized soil sampling, and variable rate control systems are readily adapted to horticultural crops. Postharvest controls are widely used to enhance or protect product quality. These technologies and their applications will be discussed in this presentation. Yield monitors are under development for many crops that can be mechanically harvested. An overview of these developments will be discussed. In addition, low-cost technologies for entry into precision will be presented.

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19

Kang, Jin Cui, and Jing Long Gao. "Application of Ontology Technology in Agricultural Information Retrieval." Advanced Materials Research 756-759 (September 2013): 1249–53. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1249.

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The agricultural information on the internet become more and more, it is very difficult to search accurate related information from such different information, in order to improve the efficiency of information retrieval on the internet, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces research on the agricultural ontology and information retrieval, and takes agriculture domain knowledge as research object, analyzes the characters of agricultural domain knowledge and semantics retrieval, then uses the agricultural ontology to make the structure of agriculture ontology knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the application of agricultural ontology technology in the agricultural information retrieval not only achieves the intelligent retrieval of agricultural information, but also greatly improves the accuracy and reliability of agricultural information retrieval.

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20

Wang, Hou Quan, Hui Li, and Xun Wu. "Study on Information Needs for Promoting the Development of Circular Agriculture." Applied Mechanics and Materials 675-677 (October 2014): 1028–31. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.1028.

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The current agricultural development mode has changed from the traditional mode to circular agriculture mode. The circular agriculture is the inevitable request to realize the sustainable development of agricultural production. Thus we should make full use of existing resources and science and technology to serve for the circular agriculture. To grasp the role of the information service, the paper analyze the use of information technology in every link of circular agriculture.

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21

Qin, Xue, Jun Yan, and G. Y. Zhu. "Effects of straw’s comprehensive utilization-technology on agricultural carbon emission in Jiangsu Province." E3S Web of Conferences 267 (2021): 01014. http://dx.doi.org/10.1051/e3sconf/202126701014.

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Straw resources are abundant in Jiangsu province, the utilization and burning of straw is an important problem in agriculture carbon emission reduction. In order to analyze the effect of straw’s comprehensive utilization technology on agricultural carbon emission, the STIRPAT model is introduced, which takes straw utilization technology as the core explanatory variable while other influencing factors as control variables, and the ridge regression is adopted to conduct an empirical analysis on the influencing factors of agricultural carbon emission in Jiangsu province from 2008 to 2018. The results demonstrate that for every 1% increasing of straw’s comprehensive utilization technology, agriculture carbon emission will be reduced by 0.17%; the labor force is the biggest driver of agriculture carbon emissions; agriculture economic development, energy consumption takes a certain inhibitory effect on agriculture carbon emissions, but not very great.

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22

Wang, Bin Peng. "The Design of Modern Agriculture Control System Based on Internet of Things." Applied Mechanics and Materials 513-517 (February 2014): 1519–22. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1519.

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This paper involves the modern agricultural application control system which is based on internet of things, and this intelligent management system uses intelligent control technology such as S7-300, GSM,WSN and Zigbee to realize the modernization of rural security, agricultural production and residents living fully intelligent managed. This system applies precision agriculture, digital image processing, wireless data transmission and other fields, really combining digital management technology with embedded technology. At the same time, this system which is based on internet of things is the necessary path of modern agriculture informatization strategy. With the mature development of technology of internet of things in modern society, modern agriculture application management system based on internet of things will bring new change to agriculture and high efficiency of agricultural production.

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23

Kalkat, G. S. "Punjab agriculture-trends and technology." Agricultural Research Journal 54, no. 2 (2017): 283. http://dx.doi.org/10.5958/2395-146x.2017.00054.0.

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24

Patel, Swati V. "Smart Technology in Agriculture System." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 1454–58. http://dx.doi.org/10.22214/ijraset.2019.3268.

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25

Schmoldt, D. L. "Precision agriculture and information technology." Computers and Electronics in Agriculture 30, no. 1-3 (February 2001): 5–7. http://dx.doi.org/10.1016/s0168-1699(00)00151-4.

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26

Bakó, Károly István. "ZigBee technology in precision agriculture." Acta Agraria Debreceniensis, no. 47 (July 18, 2012): 15–17. http://dx.doi.org/10.34101/actaagrar/47/2420.

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ZigBee technology aims to completely satisfy the requirements set by precision agriculture, since this system makes it possible to collect data in an accurate and regular way. The cost of one module is rather favourable; therefore, damaged parts can be replaced quickly. Due to the modular structure, the system can be further developed easily. New units can be quickly incorporated into the network without any difficulty.

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27

Vanjara, Pratik. "Information Technology use in agriculture." Oriental journal of computer science and technology 10, no. 3 (September 25, 2017): 664–68. http://dx.doi.org/10.13005/ojcst/10.03.16.

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Two major trends that have an effect on our planet: increase and urbanization. The anticipated increase for the primary one and half this century is discouraging. Betting on the estimate, there'll be nine to ten billion individuals by mid-century. This population is simply beneath seven billion that means that there'll be a couple of fifty percentage increases from the start to the center of this century. One could dialogue the relative accuracy of explicit models, however all of them agree that there'll be several, more mouths to enclose the approaching decades. IT has reworked several different aspects of human endeavor and has helped produce systems for responding to a good varies of social group wants. Indeed, transportation, communication, national security, and health systems square measure utterly dependent thereon to perform even basic functions. However, data, and its automatic technological embodiment, has not compact agriculture to identical level.

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28

Prayoga, I., and R. A. Putra. "Hydroponic Technology in Agriculture Industry." IOP Conference Series: Materials Science and Engineering 879 (August 7, 2020): 012130. http://dx.doi.org/10.1088/1757-899x/879/1/012130.

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29

Neményi, Miklós, and Gábor Milics. "Precision agriculture technology and diversity." Cereal Research Communications 35, no. 2 (June 2007): 829–32. http://dx.doi.org/10.1556/crc.35.2007.2.166.

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30

Reilly, John, and Roger Conway. "Technology Policy and Agriculture: Discussion." American Journal of Agricultural Economics 73, no. 3 (August 1991): 898–900. http://dx.doi.org/10.2307/1242847.

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31

Walsh, Marie E. "Technology Policy and Agriculture: Discussion." American Journal of Agricultural Economics 73, no. 3 (August 1991): 901–2. http://dx.doi.org/10.2307/1242848.

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32

Oehmke, James F. "Technology Policy and Agriculture: Discussion." American Journal of Agricultural Economics 73, no. 3 (August 1991): 903–4. http://dx.doi.org/10.2307/1242849.

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33

Rexroad, Caird E. "Transgenic technology in animal agriculture." Animal Biotechnology 3, no. 1 (January 1992): 1–13. http://dx.doi.org/10.1080/10495399209525759.

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34

King, Anthony. "Technology: The Future of Agriculture." Nature 544, no. 7651 (April 2017): S21—S23. http://dx.doi.org/10.1038/544s21a.

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35

THAKUR, ANUP SINGH, and JYOSTANA KSHIRSAGAR. "Information technology and Indian Agriculture." ENGINEERING AND TECHNOLOGY IN INDIA 6, no. 2 (October 15, 2015): 99–100. http://dx.doi.org/10.15740/has/eti/6.2/99-100.

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36

Wolek, Francis W. "Transferring federal technology in agriculture." Journal of Technology Transfer 9, no. 2 (March 1985): 57–70. http://dx.doi.org/10.1007/bf02185719.

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37

Xu, Nan. "Image Processing Technology in Agriculture." Journal of Physics: Conference Series 1881, no. 3 (April 1, 2021): 032097. http://dx.doi.org/10.1088/1742-6596/1881/3/032097.

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38

SISAY, TILAHUN. "Review: Agriculture-industry linkage and technology adoption in Ethiopia: Challenges and opportunities." Tropical Drylands 2, no. 1 (June 1, 2018): 18–27. http://dx.doi.org/10.13057/tropdrylands/t020104.

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Sisay T. 2018. Review: Agriculture-industry linkage and technology adoption in Ethiopia: Challenges and opportunities. Trop Drylands 2: 18-27. High rate of agricultural growth has far-reaching positive implications for economic development of low-income countries in terms of increasing employment and accelerating poverty reduction. For Ethiopia to achieve middle-income status by 2025 and make substantial inroads against food insecurity, concerted and strategic investment and strategic choices in the agricultural sector are vital. Agricultural linkage encloses generating and transferring agricultural technologies to enhance productivity, reduce loss, and improve the livelihoods of beneficiaries as well as the country’s economy. The objective of this paper was to review the current status of linkage between agriculture-industry actors, extent of technology adoption system, challenges and opportunities in Ethiopia. The result of the review study shows that different factors are constraining the system. Most of the agriculture industry linkage and technologies promoted through the extension system and adoption levels are far below the possible expectation in the country. Agriculture research industries lack effective mechanisms of transferring their technologies to the end users, inadequate technological skilled manpower, poor market linkage between technology multiplication enterprises and technology users, lack of responsible body to transfer technology were the major challenges in Ethiopia. Factors constraining the linkage between stakeholders and technology adoption level of Universities, TEVTs, agriculture Research institutions and agriculture sector are wide ranging from poor linkage between stakeholders and weak involvement of professionals are among the main problems that constraining the system. Weak link between research, education, and extension and the contact of these organizations have with farmers is among the main bottlenecks in agricultural technology development, adoption level. Therefore, strong University and Research-industry linkage is needed in the country.

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39

Rahmadian, Reza, and Mahendra Widyartono. "Machine Vision and Global Positioning System for Autonomous Robotic Navigation in Agriculture: A Review." Journal of Information Engineering and Educational Technology 1, no. 1 (March 13, 2017): 46. http://dx.doi.org/10.26740/jieet.v1n1.p46-54.

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Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guiding through the crops and the second component is GPS technology to guide the robot through the agricultural fields.

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Borusiewicz, Andrzej, Krzysztof Kapela, Paulina Drożyner, and Tomasz Marczuk. "Application of Precision Agriculture Technology in Podlaskie Voivodeship." Agricultural Engineering 20, no. 1 (April 1, 2016): 5–11. http://dx.doi.org/10.1515/agriceng-2016-0001.

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AbstractThe objective of the paper was to evaluate the precision agriculture technology on the territory of Podlaskie Voivodeship. Research material consisted of data from the survey carried out in 100 randomly selected farms located in Podlaskie Voivodeship. The concept of “precision agriculture” is known among the surveyed farmers. Based on the research which was carried out, a relation between the surface area of the farm, education and age of respondents was reported. Precision agriculture technology is more popular among farmers who are less than 40 years old, who have higher education and big agricultural farms. Majority of farmers participating in the survey carries out regular research on the soil richness. Moreover, 46% uses in their farms modern technologies for plant production, only 10% uses the system of positioning and 8% of the investigated farms uses the system for guiding agricultural machines, 14% of the investigated farmers uses the system for parallel guiding of a tractor, less than 40% applies the system of variable dosing of fertilizers and plant protection substances. Majority of the investigated farmers claims that new technologies are necessary and they should be applied; however, they indicate too high costs and distribution of farms as the main reason for limitations.

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Ervin, David E., Leland L. Glenna, and Raymond A. Jussaume. "Are biotechnology and sustainable agriculture compatible?" Renewable Agriculture and Food Systems 25, no. 2 (March 30, 2010): 143–57. http://dx.doi.org/10.1017/s1742170510000189.

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AbstractAgricultural biotechnology has been largely opposed by advocates in the sustainable agriculture movement, despite claims by the technology's proponents that it holds the promise to deliver both production (economic) and environmental benefits, two legs of the sustainability stool. We argue in this paper that participants in this polarized debate are talking past each other because assumptions about biotechnology and sustainability remain simplistic and poorly defined. Genetically engineered (GE) herbicide-resistant and insect-resistant crop varieties are the most visible current forms of agricultural biotechnology, and thus the form of biotechnology that many in the sustainability movement react to. However, these crops represent a biotechnology option that has paid insufficient attention to the integrated and systemic requirements of sustainable agriculture. In particular, common definitions of sustainable agriculture reinforce the need to include consideration of socio-economic distributive or equity effects into any assessment of sustainability. However, the frameworks that have been proposed to assess the potential for GE crops to enhance sustainable agriculture generally neglect this essential socio-economic dimension. We present an analysis that augments the sustainability frameworks to include the full suite of environmental, economic and social impacts. A review of the latest science on each impact category reveals that crop biotechnology cannot be fully assessed with respect to fostering a more sustainable agriculture due to key gaps in evidence, especially for socio-economic distributive effects. While the first generation of GE crops generally has made progress in reducing agriculture's environmental footprint and improving adopting farmers' economic well-being, we conclude that these early products fall short of the technology's capacity to promote a more sustainable agriculture because of the failure of those developing and promoting the technology to fully engage all stakeholders and address salient equity issues. To realize the sustainability potential of biotechnology will require fundamental changes in the way public and private research and technology development and commercialization are structured and operated. We identify new approaches in these areas that could make this powerful biological science more compatible with sustainable agriculture.

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Farooq, Muhammad Shoaib, Shamyla Riaz, Adnan Abid, Tariq Umer, and Yousaf Bin Zikria. "Role of IoT Technology in Agriculture: A Systematic Literature Review." Electronics 9, no. 2 (February 12, 2020): 319. http://dx.doi.org/10.3390/electronics9020319.

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The growing demand for food in terms of quality and quantity has increased the need for industrialization and intensification in the agriculture field. Internet of Things (IoT) is a highly promising technology that is offering many innovative solutions to modernize the agriculture sector. Research institutions and scientific groups are continuously working to deliver solutions and products using IoT to address different domains of agriculture. This paper presents a systematic literature review (SLR) by conducting a survey of IoT technologies and their current utilization in different application domains of the agriculture sector. The underlying SLR has been compiled by reviewing research articles published in well-reputed venues between 2006 and 2019. A total of 67 papers were carefully selected through a systematic process and classified accordingly. The primary objective of this systematic study is the collection of all relevant research on IoT agricultural applications, sensors/devices, communication protocols, and network types. Furthermore, it also discusses the main issues and challenges that are being investigated in the field of agriculture. Moreover, an IoT agriculture framework has been presented that contextualizes the representation of a wide range of current solutions in the field of agriculture. Similarly, country policies for IoT-based agriculture have also been presented. Lastly, open issues and challenges have been presented to provide the researchers promising future directions in the domain of IoT agriculture.

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Xu, Da Wei, Shan Ren, and Li Ping Yang. "Things in Intelligent Agriculture Applications." Applied Mechanics and Materials 513-517 (February 2014): 444–47. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.444.

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In this paper, the Internet of things technology used in modern agriculture, the satellite, remote sensing, computer and automatic control, and other high and new technology applied in agricultural production, in order to improve the yield, reduce energy consumption. Of the international advanced technology and mature will be popularized to the country, with less people more agricultural development in our country, in order to solve the bottleneck, reduce pollution and waste, the road of agricultural sustainable development.

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Sajid, Muhammad Jawad, and Muhammad Habib ur Rahman. "The Nexus between Environmental Impact and Agricultural Sector Linkages: A Case Study of Pakistan." Atmosphere 12, no. 9 (September 16, 2021): 1200. http://dx.doi.org/10.3390/atmos12091200.

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Agriculture has a substantial environmental impact. However, little research has been conducted on the relationship between agriculture’s environmental impacts and linkages, particularly for the key agriculture-based Pakistani economy. Additionally, the literature on environmental linkages rarely estimates multiple types of linkages in a single study. This study fills these critical research gaps. The study estimates the land, water, nitrogen, and CO2 impacts and linkages of Pakistan’s agriculture sector using an input–output model and the hypothetical extraction method. The results indicated that agriculture directly accounted for approximately 27%, 93%, 92%, and 1% of Pakistan’s total sectoral land, water, nitrogen, and CO2 impacts (LWNC), respectively. While the sector indirectly contributed almost 2%, 0.3%, 0.4%, and 0.4% of Pakistan’s total LWNC. The bulk of direct LWNC impacts were caused by agricultural purchases from downstream sectoral importers. The majority of the indirect LWNC impacts were induced by agriculture’s re-imports. The agricultural purchases from the downstream sector of “Food and Beverages” induced the greatest environmental impact. To ensure sustainable agriculture, particularly in Pakistan, the agriculture sector’s direct and indirect environmental impacts should be reduced not only through better management practices and technology, but also by focusing on intermediate sectoral sources of direct and indirect environmental impacts.

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Kong, Fan Tao, Shi Wei Xu, Sheng Wei Wang, and Hai Peng Yu. "An Analysis of Agricultural Risk and Intelligent Monitoring Technology." Advanced Materials Research 628 (December 2012): 265–69. http://dx.doi.org/10.4028/www.scientific.net/amr.628.265.

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This paper analyzed the risk issue in the process of agriculture development, presented the logic relationship among agricultural risk, monitoring, information, entropy and early-warning, and proposed the future development of agricultural intelligent monitoring technology.

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Abinesh, AK. "Mobile Communication Technology in Agriculture and Rural Development; A Qualitative study on Tamil Mobile Apps on Agriculture." Journal of Advanced Research in Journalism & Mass Communication 05, no. 04 (October 31, 2018): 167–73. http://dx.doi.org/10.24321/2395.3810.201835.

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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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Kashem, MA, MAA Faroque, GMF Ahmed, and SE Bilkas. "The Complementary Roles of Information and Communication Technology in Bangladesh Agriculture." Journal of Science Foundation 8, no. 1-2 (April 17, 2013): 161–69. http://dx.doi.org/10.3329/jsf.v8i1-2.14639.

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Agriculture is the important sector and key contributors to the national GDP of Bangladesh. Around 20.60% of the total GDP of the country comes from the agricultural sector. But, most of the farmers of Bangladesh are still in lack of modern agricultural knowledge. Farmers need to access ICT and take information of agriculture and others which put them in better position in economic activities. So, it is very important to provide the farmers with the modern ICT facilities as soon as possible. This paper also provides a present status of ICT in agriculture for the potential users (policy makers, researchers, teachers and students, and other activists) of agricultural information to work cooperatively. In this paper gives a concept of database that may be applied to provide agricultural information in the effective way in digitally divided geographical areas using Location Based Services. Proposed system will assist the govt. to provide services & accessibility of proper digital contents not only the farmers but also the researchers and other people who are interested in this sector. DOI: http://dx.doi.org/10.3329/jsf.v8i1-2.14639 J. Sci. Foundation, 8(1&2): 161-169, June-December 2010

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Bradford, Kent J., and Marc A. Cohn. "Seed biology and technology: At the crossroads and beyond. Introduction to the Symposium on Seed Biology and Technology: Applications and Advances and a prospectus for the future." Seed Science Research 8, no. 2 (June 1998): 153–60. http://dx.doi.org/10.1017/s0960258500004062.

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The papers in this special section ofSeed Science Researchare products of a symposium on Seed Biology and Technology: Applications and Advances, held in Fort Collins, Colorado, on 13–16 August, 1997. The symposium was convened as a cooperative effort of Regional Research Project W-168 within the United States Department of Agriculture (USDA) Cooperative States Research, Extension and Education Service (CSREES) system. Regional Research Projects are authorized by the Hatch Act, which established the Agricultural Experiment Station (AES) system in the United States (US Code). This is a system in which land-grant institutions in each state conduct research and education programmes relevant to agriculture, the environment and society. Regional Research projects are a mechanism ‘for cooperative research in which two or more State agricultural experiment stations are cooperating to solve problems that concern the agriculture of more than one state.’ Such projects ‘can provide the solution to a problem of fundamental importance or fill an important gap in our knowledge from the standpoint of the present and future agriculture of the region’

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Ramasamy, Siva Shankar. "Sustainable Development in Agriculture Through Information and Communication Technology (ICT) for Smarter India." International Journal of Social Ecology and Sustainable Development 12, no. 3 (July 2021): 79–87. http://dx.doi.org/10.4018/ijsesd.2021070106.

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This research work deals with the potential evidence to influence ICT towards the agricultural sector. Indian agriculture is gradually languishing due to the lack of technological inputs and advancement. Information with use of ICT for farmers should be gathered and processed properly by networking and ICT. The optimum utilization of ICT will be utilized for the farmers which paved the way for upheavals in agriculture development and our farmers too. E-governance is one of the ways to reach all farmers to promote availability of resources through information and communication technology, and it is a tool to promote sustainable agriculture as well. In India, lots of e-governance schemes and programmes are available for agricultural sustainability.

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