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Thésaurus IAMM > ECONOMIE > ECONOMIE AGRICOLE > SYSTEME DE PRODUCTION > AGRICULTURE NUMERIQUE
AGRICULTURE NUMERIQUE |
Documents disponibles dans cette catégorie (133)

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Regardless of public perceptions of the agricultural techniques, the fact is that the current agriculture industry is more data-driven, accurate, and intelligent than before. Therefore, novel technologies such as fog computing and the Internet o[...]![]()
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Larticle analyse le rôle que jouent les coopératives dans lécologisation et la numérisation de la viticulture. Lenquête menée en Occitanie montre que pour ces deux processus, elles jouent un rôle dintermédiaire entre les adhérents et les aut[...]![]()
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V. Sharma ; A.K. Tripathi ; H. Mittal |With increasing population, the demand for agricultural productivity is rising to meet the goal of 'Zero Hunger'. Consequently, farmers have optimized the agricultural activities in a sustainable way with the modern technologies. This integratio[...]![]()
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T.O. Ariom ; E. Dimon ; E. Nambeye ; N.S. Diouf ; O.O. Adelusi ; S. Boudalia |The agricultural sector contributes approximately 10-20% of the total anthropogenic greenhouse gas (GHGs) emissions. Consequently, climate change can negatively affect crop yields and livestock production thus threatening food security, especial[...]![]()
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F. Maffezzoli ; M. Ardolino ; A. Bacchetti ; M. Perona ; F. Renga |Demographics will increase the demand for food and reduce the availability of labour in many countries all over the world. Moreover, scarcity of natural resources, climate change and food waste these are issues that are strongly impacting the ag[...]![]()
Bulletin : Revue Electronique
Annales des mines - Enjeux numériques, n. 19 - Septembre - Lagriculture numérique
I. Piot-Lepetit ; V. Bellon-Maurel | 2022![]()
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J.J. Cubillas ; M.I. Ramos ; J.M. Jurado ; F.R. Feito |Predictive systems are a crucial tool in management and decision-making in any productive sector. In the case of agriculture, it is especially interesting to have advance information on the profitability of a farm. In this sense, depending on th[...]![]()
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The rise of digitalisation is fueling a dynamics of reconfiguration of food value chains. This article explores two rising challenges: Logistics and traceability. These issues are crucial for food value chains because of the very specific charac[...]![]()
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Sustainability is a major challenge in agri-food systems. Digital technologies, such as Internet of Things (IoT) hold substantial promises for attaining the sustainability goals of the economy, environment and society at large. However, in pract[...]![]()
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Le domaine agricole et alimentaire constitue un point névralgique du recueil et du traitement de données numériques. Comment réguler ce big data ? Par lapplication dun droit des communs.![]()
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Farm Management Information Systems (FMIS) have undergone tremendous development in the recent past. With the sharp increase in documentation requirements for agricultural businesses, the potential of FMIS to become widely used comprehensive man[...]![]()
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The study proposes an agent-based model to investigate how adoption of climate smart agriculture (CSA) affects food security. The analysis investigates the role of social and ecological pressures (i.e. community network, climate change and envir[...]![]()
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CONTEXT Digitalisation impacts value creation and capture in all industries economic sectors. One of the somewhat less researched and less well-understood contexts is agriculture. OBJECTIVE To describe the impacts of digitalisation on value crea[...]![]()
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Q.H. Ngo ; T. Kechadi ; N.-A. Le-Khac |In recent years, data science has evolved significantly. Data analysis and mining processes become routines in all sectors of the economy where datasets are available. Vast data repositories have been collected, curated, stored, and used for ext[...]![]()
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J. Zscheischler ; R. Brunsch ; S. Rogga ; R.W. Scholz |The digitalization of agricultural production and the use of digital data are fundamentally transforming processes, products, and services of the agro-food systems. Digitalization improves efficiency and facilitates sophisticated farm management[...]![]()
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A. Kayad ; M. Sozzi ; D.S. Paraforos ; F.A. Rodrigues ; Y. Cohen ; S. Fountas ; M.-J. Francisco ; A. Pezzuolo ; S. Grigolato ; F. Marinello |The applications of digital agriculture technologies are increasing rapidly with increased interest from the new generation of farmers to use digital solutions. Such technologies include several in-field and remote sensors besides data processin[...]![]()
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The digitalization of data has resulted in a data tsunami in practically every industry of data-driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has dramatically amplified the information wave. There has been a signific[...]![]()
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Digitalisation is promoted by both private and public actors as a way of contributing to the ecologisation of agriculture. However, this idea remains controversial. The debate is all the more crucial, as different ecologisation models exist, and[...]![]()
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The effect of robotic milking systems on economic performance of dairy farms with a simulation model
The most remarkable technology brought to dairy farms by the digital transformation in agriculture is undoubtedly robotic milking systems (RMS). Knowing the economic impact of this technology is essential for farmers to adopt. For this purpose, [...]![]()
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Providing farmers with essential agricultural information and training in the era of COVID-19 has been a challenge that has prompted a renewed interest in digital extension services. There is a distinct gender gap, however, between mens and wom[...]![]()
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This paper considers the digitalisation of food infrastructure as a wider context within which smart farming and big data applications in agriculture are being introduced. It examines the use of digital devices aimed providing traceability and t[...]![]()
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Short-range predictions of crop yield provide valuable insights for agricultural resource management and likely economic impacts associated with low yield. Such predictions are difficult to achieve in regions that lack extensive observational re[...]![]()
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This paper presents a critical examination of smart farming. I follow other critical analyses in recognizing the centrality of innovation processes in generating smart farming products, services, arrangements, and problematic outcomes. I subsequ[...]![]()
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A. Sharma ; M. Georgi ; M. Tregubenko ; A. Tselykh ; A. Tselykh |The increasing demand of smart agriculture has led to the significant growth and development in the field of crop estimation and prediction improving its productivity. The analysis of crop age status is very important to prevent the excessive fe[...]![]()
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V. Ramachandran ; R. Ramalakshmi ; B.P. Kavin ; I. Hussain ; A.H. Almaliki ; A.A. Almaliki ; A.Y. Elnaggar ; E.E. Hussein |The increase in population growth and demand is rapidly depleting natural resources. Irrigation plays a vital role in the productivity and growth of agriculture, consuming no less than 75% of fresh water utilization globally. Irrigation, being t[...]![]()
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The enormous contribution of agricultural cooperative societies to the rural world has not gone unnoticed. This is corroborated by many international entities such as the International Cooperative Alliance, COPA-COGECA, the European Economic and[...]![]()
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Contemporary agriculture is increasingly oriented toward the synergistic adoption of technologies such as the Internet of Things, Internet of Farming, big data analytics, and blockchain to combine resource protection and economic, social, and en[...]![]()
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F. Jacquet ; M.-H. Jeuffroy ; J. Jouan ; E. Le Cadre ; I. Litrico ; T. Malausa ; X. Reboud ; C. Huyghe |Reducing pesticide use has become a goal shared by several European countries and a major issue in public policies due to the negative impacts of pesticides on the environment and on human health. However, since most of the agri-food sector reli[...]![]()
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M.-H. Ehlers ; M.-H. Ehlers ; R. Finger ; N. El Benni ; A. Gocht ; C.A.G. Sørensen ; M. Gusset ; C. Pfeifer ; K. Poppe ; Á. Regan ; D.C. Rose ; S. Wolfert ; R. Huber |CONTEXT Digitalisation affects the agri-food sector and its governance. However, what digitalisation of the sector will imply for future agricultural policymaking remains unclear. OBJECTIVE The objective of the study is to develop and evaluate e[...]