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Thésaurus IAMM > ECONOMIE > ECONOMIE AGRICOLE > SYSTEME DE PRODUCTION > AGRICULTURE NUMERIQUE
AGRICULTURE NUMERIQUE |
Documents disponibles dans cette catégorie (236)
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This paper explores the transformative potential of Foundation Models (FMs) in agriculture, driven by the need for efficient and intelligent decision support systems in the face of growing global population and climate change. It begins by outli[...]
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C. Greco ; R. Gaglio ; L. Settanni ; L. Sciurba ; S. Ciulla ; S. Orlando ; M.M. Mammano |Consumer interest in medicinal and aromatic herbs is on the rise, with buyers increasingly concerned about the microbiological quality of nutraceutical and aromatic plants. The use of Unmanned Aerial Vehicles (UAVs) and sensor technology allows [...]
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Modern technologies are continuously entering every aspect of our lives...
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W. Kabato ; G.T. Getnet ; T. Sinore ; A. Nemeth ; Z. Molnár |Without transformative adaptation strategies, the impact of climate change is projected to reduce global crop yields and increase food insecurity, while rising greenhouse gas (GHG) emissions further exacerbate the crisis. While agriculture is a [...]
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J. Botero-Valencia ; V. García-Pineda ; A. Valencia-Arias ; J. Valencia ; E. Reyes-Vera ; M. Mejia-Herrera ; R. Hernández-García |Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision agriculture improves agricultural productivity and profitability while reducing costs[...]
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Digital innovation in agriculture has become a powerful force in the modern world as it revolutionizes the agricultural sector and improves the sustainability and efficacy of farming practices. In this context, the study examines the effects of [...]
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An integrated approach of carbon footprint calculation for agricultural sector through smart-farming
Agricultural production and, by extension, the agri-food sector, significantly contribute to the greenhouse effect, as farming practices and inputs are among the main sources of greenhouse gas emissions (GHG). However, through the Smart Farming [...]
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Cultural diversity often complicates the understanding of sustainability, sometimes making its concepts seem vague. This issue is particularly evident in food systems, which rely on both renewable and nonrenewable resources and drive significant[...]
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Agricultural digitalization and short food supply chains (SFSCs) are considered to be different avenues for transitioning to more sustainable agrifood systems. Can these avenues be put together, or are they parallel and, hence, not compatible? T[...]
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CONTEXT Environmental policies are increasingly relying on digitalization to improve efficiency. However, there is still a lack of knowledge on farmers' attitudes toward digitally-based environmental policies. OBJECTIVE This paper contributes to[...]
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Y. Gao ; S.A. Camtepe ; N.H. Sultan ; H.T. Bui ; A. Mahboubi ; H. Aboutorab ; M. Bewong ; R. Islam ; M.Z. Islam ; A. Chauhan ; P. Gauravaram ; D. Singh |In light of their remarkable predictive capabilities, artificial intelligence (AI) models driven by deep learning (DL) have witnessed widespread adoption in the agriculture sector, contributing to diverse applications such as enhancing crop mana[...]
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C. Parra-López ; S. Ben Abdallah ; G. Garcia-Garcia ; A. Hassoun ; P. Sánchez-Zamora ; H. Trollman ; S. Jagtap ; C. Carmona-Torres |Agriculture faces a major challenge in meeting the world's growing demand for food in a sustainable manner in the face of increasing environmental pressures, in particular the growing impact of climate change. Agriculture is also a major contrib[...]
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Digital cultivation is emerging as one of the most promising fields that helped in creating an ecosystem for smart farming. Precision farming, modernized techniques, and creating smart agriculture supply chains are the need of the hour for high-[...]
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The Imamoğlu Agricultural Irrigation Automation Project aims to revolutionize water management and allocation in agricultural irrigation through the establishment of a central management-based system. By integrating modern irrigation techno[...]
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While it is essential to increase agricultural production to meet the needs of a growing global population, this task is becoming increasingly difficult due to the environmental challenges faced in recent decades. A promising solution to enhance[...]
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C. Huck ; A. Gobrecht ; T. Salou ; V. Bellon-Maurel ; E. Loiseau |Since the agricultural sector is one of the main drivers responsible for the transgression of planetary boundaries, there is an urgent need to reduce its environmental impacts. To address this issue, international institutions advocate for digit[...]
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D. Urdu ; A.J. Berre ; H. Sundmaeker ; S. Rilling ; I. Roussaki ; A. Marguglio ; K. Doolin ; P. Zaborowski ; R. Atkinson ; R. Palma ; M. Faraldi ; S. Wolfert |Interoperability is a critical challenge in Agri-food digitalisation, aligning with European data strategies and fostering pan-European cooperation, innovation, cost reduction, and market competition. Within the last years, the European Commissi[...]
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Today's agriculture faces numerous challenges due to climate change, a growing population and the need to increase food productivity [...]
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Global food security has been significantly affected by climate change; hence, there is a need to come up with lasting and adaptable agricultural practices. The objective of this study is to understand the relationships between climate-smart agr[...]
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Agriculture 4.0 technologies like Artificial Intelligence (AI), the Internet of Things, Computer Vision, and Robotics, have revolutionized the agricultural sector. But the adoption of digital technologies has arguably created new or exacerbated [...]
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Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and time and increases efficiency in agricultural management activities, which improves the food industry. Agricultural mapping is necessary for resou[...]
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The prosperity of Po River Valley's quality agri-food system depends on the efficiency of its field crops, which are recently facing a crisis evidenced by cultivated areas decreasing and yields stagnating. Several factors, including EU policies [...]
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The past decade has witnessed the rapid development and adoption of machine and deep learning (ML & DL) methodologies in agricultural systems, showcased by great successes in applications such as smart crop management, smart plant breeding, smar[...]
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L'enjeu est de comprendre dans quelle mesure la digitalisation des exploitations peut rééquilibrer la dépendance des agriculteurs à la filière. Les auteures considèrent la théorie de la dépendance aux ressources et examinent si le numérique est [...]
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V. Erokhin ; K. Mouloudj ; A.C. Bouarar ; S. Mouloudj ; T. Gao |The scarcity of water resources, climate change, and water-wasting behavior have contributed to a worsening water crisis in many countries. This has raised concerns among farmers and increased pressure on governments. Digital technologies provid[...]
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M. Ben Jaballah ; M. Ghali ; N. Ben Arfa ; K. Daniel ; G. Kleftodimos ; A. Ridier |Farm-level investment in digital tools is often viewed as a necessary part of the agroecological transition. However, its actual relevance remains unclear due to currently ambiguous definitions of farm investments in general and equipment invest[...]
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H. Shahab ; M. Iqbal ; A. Sohaib ; F. Ullah Khan ; M. Waqas |The sustainable development goals (SDGs) of the United Nations seek to promote an agriculture sector that can lead change on both a local and global scale. By helping farmers to produce more food sustainably, Internet of Things (IoT)-based agric[...]
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T. Benabdelouahab ; A. Elaissaoui ; H. Lionboui ; A. Mouaaid ; F. Elame ; M. Ismaili ; M. Touzani ; Y. Bouslihim ; I. Thami Alami |Morocco, a Mediterranean country, is grappling with escalating agricultural challenges stemming from climate change. Nevertheless, the adoption of digital agriculture and precision farming presents promising solutions to bolster agricultural res[...]
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V. Tascione ; A. Raggi ; L. Petti ; G. Manca |This study aimed to assess the environmental effectiveness of vineyards utilising on-site weather stations integrated with a decision support system (DSS), and to identify the critical hotspots in smart farms that have already obtained integrate[...]
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This study delves into the intricate interplay between digitalization and sustainability in agriculture, seeking to uncover how digital technologies can be harnessed to elevate and actualize smart agricultural (SA) practices. The research addres[...]
