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Article
E. Sanz Sanz ; C. Napoleone ; M. Debolini ; D. Martinetti ; O. Moreno Pérez ; C. de Benito ; M. Moulery ; T. Pinto Correia ; R. Filippini ; L. Arfa ; C. Yacamán-Ochoa |Bridging the gap between the micro and the macro scale in modelling food security to inform context-specific regionalised policies remains a major scientific challenge. A better understanding of the relations between global and local drivers imp[...]Article
Y. Zhang ; L. Pichon ; S. Roux ; A. Pellegrino ; T. Simonneau ; B. Tisseyre |Inverse modeling (IM) is a valuable tool in agriculture for estimating model parameters that aid in decision-making. It is particularly useful when parameters cannot be directly measured or easily estimated due to logistical constraints in agric[...]Article
P. Garofalo ; M. Parlavecchia ; L. Giglio ; I. Campobasso ; A.V. Vonella ; M. Botta ; T. Tadiello ; V. Tucci ; F. Fornaro ; R. Leogrande ; C. Vitti ; A. Perego ; M. Acutis ; D. Ventrella |In anticipation of climate changes, strategic soil management, encompassing reduced tillage and optimized crop residue utilization, emerges as a pivotal strategy for climate impact mitigation. Evaluating the transition from conventional to conse[...]Ouvrage
S. Lamine ; P.K. Srivastava ; A. Kayad ; F. Muñoz-Arriola ; P.C. Pandey | Oxford [Royaume-Uni] : Academic Press | Earth Observation Series | 2024Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones geospatial data. The book presents case studies[...]Article
Sustainability and resilience against climate change provided by a territorial crop-livestock system
The development of territorial crop-livestock systems where exchanges between crops and livestock farms are managed in a synergistic way is seen as an opportunity to increase the sustainability and resilience of specialized agricultural systems [...]Article
D. Pasquel ; D. Cammarano ; S. Roux ; A. Castrignanò ; B. Tisseyre ; M. Rinaldi ; A. Troccoli ; J.A. Taylor |CONTEXT Most crop models are designed for point-based modeling and to simulate agronomic variables on their native spatial footprint, i.e. typically as a uniform field-scale value. Precision agriculture needs crop model simulations at sub-field [...]Article
Climate change is expected to affect the agricultural sector in ways that are often unclear to predict. If in the short- and medium-terms farmers may adapt to climate change by adjusting their agricultural practices, in the long-term, these adju[...]Article
K.U. Rehman ; S. Andleeb ; M. Ashfaq ; N. Akram ; M.W. Akram |Agriculture plays a vital role in global food security, but conventional practices have led to environmental degradation and health risks due to excessive use of agricultural nutrients and chemicals. In this era of increased consumer awareness a[...]Article
R. Belmin ; M. Paulin ; E. Malézieux |Climate change is increasingly affecting agriculture worldwide, causing yield losses and undermining food security. Behind the international consensus on the urgent need for ambitious policies to adapt agriculture to climate change (AACC) hides [...]Article
Precision agriculture technologies can help reduce nitrogen losses and the associated negative environmental impacts. As the adoption rate of such technologies in small-scale farming systems is still low, additional policy measures are required [...]Article
O. Parra Rivero ; A. Ojeda Roldan ; R. González Álvarez-Ossorio ; C. Staboulis ; D. Natos ; K. Mattas ; W. Bojar ; R. Kusmierek-Tomaszewska ; P. Baranowski ; J. Krzyszczak |During the last decade, Common Agricultural Policy (CAP) has prioritised measures focused on sustainability and quality over production. The purpose of the AGRICORE project is to develop a tool based on agent-based modelling to assist policymake[...]Article
Emerging technologies associated with Artificial Intelligence (AI) have enabled improvements in global food security situations. However, there is a limited understanding regarding the extent to which stakeholders are involved in AI modelling re[...]Article
In this study, we use a gravity model to analyze virtual water flows due to the trade of agricultural products for Turkey. We calculate virtual water flows of agricultural trade for 326 products and 192 trade partners for 2002?2019. The empirica[...]Article
P.D. Wagner ; S. Kumar ; N. Fohrer |There is a common scientific understanding that global change impact analysis, mitigation, and adaptation require interdisciplinary work. Integrated modeling could help to address the challenges associated with the impacts of global change. Part[...]Article
In recent years, the waste management field has received substantial attention from policymakers, organizations, academics, and researchers due to increased focus on sustainability and carbon footprint reduction as well as concerns around rapid [...]Article
The objectives of this paper are to determine the factors that influence interannual movements of farms between income categories, and to forecast future income categories of farms under several different market, climate, and policy scenarios. T[...]Article
V. Vadez ; R. Pilloni ; A. Grondin ; A. Hajjarpoor ; H. Belhouchette ; Y. Brouziyne ; G. Chehbouni ; M.H. Kharrou ; R. Zitouna-Chebbi ; I. Mekki ; J. Molénat ; F. Jacob ; J. Bossuet |Water scarcity will be one of the main issues of the 21 st century, because of competing needs between civil, industrial, and agriculture use. While agriculture is the largest user of water, its share is bound to decrease as societies develop. C[...]Article
The agricultural sector faces various challenges and barriers in transitioning from linear resource consumption to a circular economy. Based on the literature, four key areas of challenges are identified and discussed, conversion technology and [...]Article
CONTEXT With the warming trend and the increasing frequency of extreme weather events, accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of two methods: crop model simulation and remote sensing observations[...]Article
National crop yields are difficult to estimate during a crop season and are usually only known after crop harvest. The goal of this study was to develop a simple methodology to estimate national wheat yields that could be easily applied to any c[...]Article
S. Rafflegeau ; M. Gosme ; K. Barkaoui ; L. Garcia ; C. Allinne ; O. Deheuvels ; J. Grimaldi ; P. Jagoret ; P.-E. Lauri ; A. Mérot ; A. Metay ; F. Reyes ; S. Saj ; G.N. Curry ; E. Justes |Duru et al. (Agron Sustain Dev 35:1259-1281, 2015) highlighted a missing tool for studying and improving the performance of cropping systems in the transition to highly diversified agriculture. In response, this paper proposes a concept for desi[...]Article
Value creation is at the core of business model (BM) research, but the link between BM and value creation remains unclear. In this work, empirical data on BM transformation towards sustainable value creation in the agri-food sector, were obtaine[...]Article
J. Lecina-Diaz ; M.-L. Chas-Amil ; N. Aquilué ; A. Sil ; L. Brotons ; A. Regos ; J. Touza |In southern Europe, land abandonment and an unbalanced investment toward fire suppression instead of prevention has gradually increased wildfire risk, which calls for a paradigm change in fire management policies. Here we combined scenario analy[...]Article
M. Valencia ; N. Bocken ; C. Loaiza ; S. De Jaeger |The social value of the circular economy (CE) has only been recently explored in the literature. To understand the social implications of the implementation of the CE, a semi-systematic literature review was completed evaluating the variables of[...]Article
The food chain is intrinsically linked to agriculture and enables a transition towards a Circular Economy (CE) system and a resource efficient future. Accordingly, the development of analytical models appears particularly useful to address these[...]Article
M. Coronese ; M. Occelli ; F. Lamperti ; A. Roventini |This paper presents a dynamic agent-based model of land use and agricultural production under environmental boundaries, finite available resources and endogenous technical change. In particular, we model a spatially explicit smallholder farming [...]Article
The aim of this article is to identify the conditions for the internationalisation of olive oil producing firms in southern of Spain (province of Jaén), as this region accounts for 20 percent of total world production. To that end, we propose a [...]Article
Global climate change has led to a severe loss of water and land resources and has exacerbated food crisis concerns. The water-land-food nexus in agricultural irrigation systems is receiving increasing attention. However, for sustainable food pr[...]Article
Studies on sustainability of agribusinesses often overlook the social dimension of sustainability. The social pillar is clearly the least studied of the three traditional pillars of sustainability, and the classification and estimation of the in[...]Article
A. Esteso ; M.M.E. Alemany ; F. Ottati ; A. Ortiz |The agri-food sector is subject to various sources of uncertainty and risk that can have a negative impact on its supply chain performance if not properly managed. In order to determine what actions the supply chain (SC) should take to protect i[...]Article
A. Domínguez ; J.A. Martínez-López ; H. Amami ; R. Nsiri ; F. Karam ; M. Oueslati |Despite the great number of models developed in research projects, only a small percentage have been successfully transferred to the productive sector. The PRIMA programme supported by Horizon 2020, the European Union Framework Programme for Res[...]Article
A decision support model for cost-effective choice of temperature-controlled transport of fresh food
L.M. Maiyar ; R. Ramanathan ; I. Roy ; U. Ramanathan |The application of a plethora of wireless technologies to support real-time food quality monitoring during transportation has significantly improved the performance of fresh food delivery systems. However, deployment of these technologies increa[...]Article
G. Harik ; I. Alameddine ; R. Zurayk ; M. El-Fadel |A spatio-temporal Agent Based Modeling (ABM) framework is developed to probabilistically predict farmers' decisions concerning their future farming practices when faced with potential water scarcity induced by future climate change. The proposed[...]Article
The terroir effect refers to the interactions between the grapes and their natural surroundings and has been recognized as an important factor in wine quality. The identification and mapping of viticultural terroir have long been relying on expe[...]Article
In recent years, the circular economy and the bioeconomy have increasingly been developed in France, driven by public policies. In this article, innovative circular bioeconomy business models in the French agrifood domain are studied concerning [...]Article
D. Paudel ; A. de Wit ; H. Boogaard ; D. Marcos ; S. Osinga ; I.N. Athanasiadis |Machine learning models for crop yield forecasting often rely on expert-designed features or predictors. The effectiveness and interpretability of these handcrafted features depends on the expertise of the people designing them. Neural networks [...]Article
Growing nutrient fertilization has imperiled freshwater resources throughout the world. There is a conflict of interest between farmers and local environmental organizations who are concerning about nutrient pollution in waterbodies. Adoption of[...]Article
P.B. Hegedus ; B. Maxwell ; J. Sheppard ; S. Loewen ; H. Duff ; G. Morales-Luna ; A. Peerlinck |Few mechanisms turn field-specific ecological data into management recommendations for crop production with appropriate uncertainty. Precision agriculture is mainly deployed for machine efficiencies and soil-based zonal management, and the tradi[...]Article
K. Mainali ; M. Evans ; D. Saavedra ; E. Mills ; B. Madsen ; S. Minnemeyer |Landscape scale wetland conservation requires accurate, up-to-date wetland maps. The most useful approaches to creating such maps are automated, spatially generalizable, temporally repeatable, and can be applied at large spatial scales. However,[...]Article
Cropping system models are deployed as valuable tools for informing agronomic decisions and advancing research. To meet this demand, early career scientists are increasingly tasked with building crop models to fit into these system modelling fra[...]Article
L'article s'intéresse aux nouvelles formes d'agriculture, concept issu essentiellement de la presse généraliste et qui correspond à des formes innovantes ou réinventées d'agriculture comme la permaculture, l'aquaponie, la culture sur toits, dans[...]Article
E. Elsadek ; K. Zhang ; A. Mousa ; G.T. Ezaz ; T.L. Tola ; H. Shaghaleh ; A.A. Hamad ; Y. Alhaj Hamoud |Crop growth models are cost-effective and user-friendly tools for decision-makers to develop efficient in-field management strategies. These models are particularly important in countries such as Egypt, where the risk of water scarcity is inevit[...]Article
The new CAP implementation model requires each Member State to design a CAP Strategic Plan (CSP) to deliver operational actions under the two CAP pillars. Each CSP must be built from an evidence-based needs assessment that undergoes rigorous pri[...]Rapport, Expertise, Working Paper
J. De Baerdemaeker, coord. ; S. Hemming ; G. Polder ; A. Chauhan ; A. Petropoulou ; F. Rovira-Más ; D. Moshou ; G. Wyseure ; T. Norton ; B. Nicolai ; F. Hennig-Possenti ; I. Hostens | Strasbourg [France] : European Parliament | 2023An increasingly digitised society involves recording human activity and monitoring products and processes. In the agri-food sector this gives rise to large quantities of data. At the same time, data is also generated for research and scientific [...]Article
Climate change is a challenging fact influencing diverse sectors in society including the agricultural one, which is heavily dependent on natural resources and climate. In the Mediterranean region, climate change-related increases in air tempera[...]E-Book
D. Cammarano, ed. ; F.K. Van Evert, ed. ; C. Kempenaar, ed. | Cham [Suisse] : Springer | Progress in Precision Agriculture | 2023This book describes how models are used to monitor crops and soils in precision agriculture, and how they are used to support farmers decisions. The introductory section starts with an overview of precision agriculture from the early days of yi[...]Ouvrage
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyversea collection of R packages designed to work together[...]Article
S. Aloui ; A. Mazzoni ; A. Elomri ; J. Aouissi ; A. Boufekane ; A. Zghibi |The Soil and Water Assessment Tool (SWAT) is a well-established eco-hydrological model that has been extensively applied to watersheds across the globe. This work reviews over two decades (2002-2022) of SWAT studies conducted on Mediterranean wa[...]Article
Cereal, oilseed, and protein (COP) production is an important sector contributing to Sustainable Development Goals (SDGs) in Tunisia. COP farms often diversify their production patterns to stabilize their income sources and spread production ris[...]Article
Life cycle assessment (LCA) is applied to assess large-scale systems supporting policymaking. However, most LCA studies focused on evaluating the impacts of policies and strategic planning on a static basis ignoring the dynamic nature of the ter[...]