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M. Yaseen ; A. Pagano ; R. Giordano ; S. Vanino ; S. Fabiani ; V. Baratella ; V. Iacobellis ; A. Izzaddin ; I. Portoghese |The “Nexus” concept has emerged as an effective approach to natural resources management, that integrates management and governance across sectors and scales, emphasizing the need to consider interconnections and interdependencies among multiple[...]
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[...]
Article
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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M. Alboghdady ; S. Abbas ; M.K. Alashry ; Y.C. Hu ; S. El-Hendawy |Egypt, the world's second-largest wheat importer, has been working hard to narrow the gap between its domestic wheat production and consumption. However, these efforts have been hampered by water scarcity and the negative impact of climate chang[...]
Article
R. Saci ; M. Keblouti ; O.M. Katipoglu ; B. Durin ; H. Majour ; L. Sayad ; F. Bouzahar ; L. Benchaiba |The estimation of monthly reference evapotranspiration (ET0) is important for the efficient management of water resources, especially in regions with limited meteorological station coverage such as Algeria. For this purpose, different prediction[...]
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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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S. Shelash ; A. Vasudevan ; M.M. Alqahtani ; X.Q. Sun ; I. Ali |This study explored the use of fuzzy logic as a decision-making framework to address uncertainties and prioritize risks in the agricultural supply chain. Fuzzy logic's ability to handle imprecise and incomplete data was leveraged to develop a Ri[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
O. Attar ; M. Leone ; A.M.D. Girolamo ; L. Bouchaou ; Y. Brouziyne ; E.E. Khalki ; H. Berrouch ; S. Taia ; M. Hssaisoune ; Y.A. Brahim |Study region: The Iguidi watershed is located in southeastern Morocco and represents semi-arid region where limited water resources constrain agricultural productivity and sustainability. Study focus: This study assesses the water footprint (WF)[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
A. Erdogdu ; F. Dayi ; F. Yildiz ; A. Yanik ; F. Ganji |This study presents a novel approach to managing the cost–time–quality trade-off in modern agriculture by integrating fuzzy logic with a genetic algorithm. Agriculture faces significant challenges due to climate variability, economic constraints[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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[...]
Article
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 [...]
Article
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[...]
Article
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)[...]
