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Documents disponibles dans cette catégorie (939)

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Article
G.R. Watmough ; D. Brockington ; C.L.J. Marcinko ; O. Hall ; R. Pritchard ; T. Berchoux ; L. Gibson ; E. Delamonica ; D. Boyd ; R. Mlambo ; S. O Héir ; S. Seth |The use of Earth Observation Data and Machine Learning models to generate gridded micro-level poverty maps has increased in recent years, with several highprofile publications. producing some compelling results. Poverty alleviation remains one o[...]![]()
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S. Scaramuzzi ; F. Danese ; L. Casini ; G. Piracci |The transition of food systems towards more sustainable organizational models is increasingly positioning Short Food Supply Chains as a key channel to value the specific attributes of local products, while also meeting the growing demand for div[...]![]()
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Climate change is expected to reduce water availability during cropping season, while growing populations and rising living standards will increase the global water demand. This creates an urgent need for national water management tools to optim[...]![]()
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D. Spina ; M. Borrello ; R. Selvaggi ; G. Chinnici ; M. Hamam ; L. Cembalo ; M. D'Amico |Addressing the overuse of natural resources is crucial, and the circular economy (CE) offers a solution by turning waste into value to meet societal needs. CE may support business development without increasing resource exploitation. However, tr[...]![]()
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CONTEXT The yield gap-the difference between potential and actual yield-represents a fundamental challenge in agriculture. Closing this gap is crucial for increasing the productivity of arable land, thereby ensuring sustainable food security wit[...]![]()
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O. De Cos ; M. Charbonneau ; J.-Y. Puyo ; T. Tran ; D. Montagne |Food sovereignty is yet again a global and local priority. Nevertheless, the useful agricultural area continues to decrease. Land take is leading to increasing pressure on farmland, which is threatened by different phenomena such as natural ris[...]![]()
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S. Barakat ; H.I. Elkhouly ; A. Sofey ; N. Harraz |Accurate prediction of agricultural production costs is crucial for sustainable development in Egypt, where productivity is highly sensitive to fluctuating economic and environmental conditions. This study introduces a hybrid machine learning mo[...]![]()
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Common pitfalls in evaluating model performance and strategies for avoidance in agricultural studies
C.P.J. Chen ; R.R. White ; R. Wright |Predictive modeling is a cornerstone of data-driven research and decision-making in precision agriculture, yet achieving robust, interpretable, and reproducible model evaluations remains challenging. This study addresses two central issues in mo[...]![]()
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Machine learning (ML), especially deep learning (DL), is gaining popularity in the agroecosystem modelling community due to its ability to improve the efficiency of computationally intensive tasks. By reviewing previous modelling studies using t[...]![]()
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D. Garcia ; N. Silva ; J. Rolim ; A. Ferreira ; J.A. Santos ; M.D. Cameira ; P. Paredes |Climate variability, intensified by climate change, poses significant challenges to agriculture, affecting crop development and productivity. Integrating seasonal weather forecasts (SWF) into crop growth modelling tools is therefore essential fo[...]![]()
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I. El Fartassi ; A.E. Milne ; B. Oulaid ; Y. Bezrhoud ; H. Metcalfe ; V. Alonso Chavez ; K. Coleman ; A. Diarra ; R. El Alami ; J. Prout ; T. Waine ; J. Zawadzka ; R. Corstanje |We developed a model-based framework to support land-use and management decision-making. This framework integrates data and models to support an assessment of scenarios related to crop choices and irrigation management. The framework includes th[...]![]()
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Z. Bouswir ; S. Er-Raki ; S. Khabba ; J. Ezzahar ; H. Ait Ben ahmed ; Z. Rafi ; A. Chehbouni |Agricultural water management in arid and semi-arid regions faces significant challenges, exacerbated by climate change and rising food demand. To address this, the study proposes a strategy for tailoring the irrigation requirements of winter wh[...]![]()
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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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I. El Fartassi ; A.E. Milne ; H. Metcalfe ; R. El Alami ; A. Diarra ; V. Alonso-Chavez ; J. Zawadzka ; T.W. Waine ; R. Corstanje |The study presents an agent-based modelling framework that integrates behavioural and biophysical models to investigate shared irrigation water management in an arid region. The behavioural model simulates farmers' decisions about their water ir[...]![]()
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A. Erdogdu ; F. Dayi ; F. Yildiz ; A. Yanik ; F. Ganji |This study presents a novel approach to managing the costtimequality trade-off in modern agriculture by integrating fuzzy logic with a genetic algorithm. Agriculture faces significant challenges due to climate variability, economic constraints[...]![]()
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N. Istudor ; M. Constantin ; D. Privitera ; R. Ignat ; I.-E. Petrescu ; C. Teodor |This research explores the systemic nature of competitiveness within the cereal sector of the European Union (EU) and addresses the structural interdependencies among key competitiveness drivers through a network-based model. The goal of this re[...]![]()
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The viticultural supply chain plays a critical role in the agricultural sector, yet its optimization remains understudied despite its economic, environmental, and social significance. This study proposes a multi-objective, sustainable viticultur[...]![]()
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Agricultural water trading is typically considered an effective water management mechanism, and decisions made by agricultural agents highly influence its effectiveness. Agent-based modelling (ABM) simulating agricultural agents in the water tra[...]![]()
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This study employs two distinct machine learning (ML) methodologies to investigate the impact of 12 different key climatic variables on wheat production efficiency, a crucial component of the global and Turkish agricultural economy. Neural netwo[...]![]()
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Agricultural lands play a pivotal role in sustaining human existence, serving as primary sites for food production, contributing to the economy, fostering biodiversity, maintaining environmental equilibrium, and upholding social and cultural val[...]![]()
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CONTEXT Efficient irrigation management must consider multiple aspects of cropping systems, such as productivity, water use efficiency, and economic viability. Crop simulation models like AquaCrop are essential tools for analyzing crop responses[...]![]()
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F. Zabel ; M. Knüttel ; B. Poschlod |Increasing demand for agricultural land resources and changing climate conditions require strategic land-use planning and the development of adaptation strategies. Therefore, information about the suitability of agricultural land is a prerequisi[...]![]()
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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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This study evaluates the environmental impacts and productivity of a continuous durum wheat cropping system under three sowing dates and two water regimes, i.e., rainfed and irrigation at flowering in the Mediterranean context, specifically in t[...]![]()
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P. Garofalo ; L. Gaeta ; C. Vitti ; L. Giglio ; R. Leogrande |This modeling study evaluates the combined effects of organic fertilization and irrigation regimes on olive productivity and environmental sustainability in southern Italy. Field experiments were conducted in an organic olive grove (cv. Leccino)[...]![]()
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C.P. Sá ; R.N. Pagani ; A.L. Przybysz ; F.F. Souza ; D.N. Resende ; J.L. Kovaleski |Smart cities leverage information and communication technologies to enhance urban life quality, essential in densely populated environments requiring comprehensive planning. A critical area in urban settings is food production and delivery, wher[...]![]()
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In recent years, frequent drought events in Konya, one of Türkiye's most important cereal production centres, have led to increased pressure on water and soil resources, resulting in yield losses, particularly in wheat production. Alternative yi[...]![]()
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The study aims to assess the performance of European sustainable agriculture through a new model of agricultural sustainability, addressing a significant gap identified in the literature: the lack of a systematic framework integrating the econom[...]![]()
Ouvrage
P. Debaeke, coord. ; N. Graveline, coord. ; B. Lacor, coord. ; S. Pellerin, coord. ; D. Renaudeau, coord. ; E. Sauquet, coord. | Versailles [France] : Editions Quae | Synthèses | 2025Lagriculture doit faire face à de nombreux défis. Parmi eux, le changement climatique constitue une préoccupation majeure pour le devenir de lhumanité, avec des enjeux pour la sécurité alimentaire, lenvironnement, la biodiversité et la santé[...]![]()
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The Earth's climate is undergoing unprecedented and rapid changes primarily due to human activities, especially greenhouse gas emissions, leading to a temperature rise of 1.1 degrees C to 1.2 degrees C in the last fifty years. In spite of global[...]