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Thésaurus IAMM > INFORMATION > SCIENCE DE L'INFORMATION > TRAITEMENT DE L'INFORMATION > TRAITEMENT DES DONNEES > ANALYSE DE DONNEES
ANALYSE DE DONNEES |
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Article
H. Uyar ; I. Karvelas ; S. Rizou ; S. Fountas |Agricultural data have great potential to improve decision-making, enhance operational efficiency, and drive innovation. Despite the growing acknowledgment of their value, there remains a gap in understanding how data value creation is perceived[...]
Article
Z.H. Zul Azlan ; S.N. Junaini ; N.A. Bolhassan ; R. Wahi ; M.A. Arip |As climate change and population growth intensify, the agricultural sector's need for sustainable solutions is paramount. This paper presents an overview of smart agriculture, a strategy leveraging technology and data analytics, and its potentia[...]
Article
E.M.B.M. Karunathilake ; A.T. Le ; S. Heo ; Y.S. Chung ; S. Mansoor |Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maxim[...]
Article
Machine learning (ML) and its branch, deep learning (DL), is rapidly evolving and gaining popularity as it outperforms other, more traditional methods in different areas of agriculture. However, ML and DL techniques must be correctly applied to [...]
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 tidyverse—a collection of R packages designed to work together[...]
Ouvrage
Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package[...]
Ouvrage
Ce manuel propose un apprentissage guidé pour être en mesure de réaliser une enquête, par questionnaires et entretiens de qualité, dans le cadre des études en sciences sociales. Avec cet ouvrage à la fois complet et accessible, construit en quat[...]
Article
A. Cravero ; S. Pardo ; P. Galeas ; J. López Fenner ; M. Caniupán |Sustainable agriculture is currently being challenged under climate change scenarios since extreme environmental processes disrupt and diminish global food production. For example, drought-induced increases in plant diseases and rainfall caused [...]
Article
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[...]
Article
Geographical Indications (GIs), as Protected Designation of Origin (PDO)and Protected Geographical Indication (PGI), offer a unique protection scheme to preserve high-quality agri-food productions and support sustainable rural development at the[...]
Article
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[...]
Article
S. Mohammed ; A. Elbeltagi ; B. Bashir ; K. Alsafadi ; F. Alsilibe ; A. Alsalman ; M. Zeraatpisheh ; A. Széles ; E. Harsányi |Drought is a natural hazard which affects ecosystems in the eastern Mediterranean. However, limited historical data for drought monitoring and forecasting are available in the eastern Mediterranean. Thus, implementing machine learning (ML) algor[...]
Article
M.S. Kivi ; B. Blakely ; M. Masters ; C.J. Bernacchi ; F.E. Miguez ; H. Dokoohaki |As we face today's large-scale agricultural issues, the need for robust methods of agricultural forecasting has never been clearer. Yet, the accuracy and precision of our forecasts remains limited by current tools and methods. To overcome the li[...]
Article
CONTEXT Agricultural systems are generally characterised by many dependent variables that represent their management practices and performances. Parametric approaches are usually used to explore data collected from farms and relations among vari[...]
Article
With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the adopted data analytics pl[...]
Article
A. Durrant ; M. Markovic ; D. Matthews ; D. May ; J. Enright ; G. Leontidis |Data sharing remains a major hindering factor when it comes to adopting emerging AI technologies in general, but particularly in the agri-food sector. Protectiveness of data is natural in this setting: data is a precious commodity for data owner[...]
E-Book
A. Abraham ; S. Dash ; J.J.P.C. Rodrigues ; B. Acharya ; S.K. Pani | Londres [Royaume-Uni] : Academic Press | Intelligent Data-Centric Systems | 2022AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant[...]
E-Book
Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, an[...]
Article
The study involved an in-depth analysis of the main land cover and land use data available nationwide for the Italian territory, in order to produce a reliable cartography for the evaluation of ecosystem services. In detail, data from the land m[...]
E-Book
H. Rey-Valette ; C. Jabbour ; P. Maurel ; J.-M. Salles | Versailles [France] : Editions Quae | Guide Pratique | 2022Les demandes et les usages des données spatiales satellitaires se développent et se diversifient de façon importante, en lien avec la précision, la fréquence des prises de vue et la taille des images. Ainsi, il convient de comprendre et de rendr[...]
Ouvrage
Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Ins[...]
Article
Today's agricultural management decisions impact food security and sustainable ecosystems, even when operating with back-to-basic operations. In such endeavors, policymakers usually need a quantitative tool, such as trade-offs margins, to effect[...]
Ouvrage
D. Makowski, coord. ; F. Brun ; E. Doutard ; F. Duyme ; M. El Jabri ; K. Fauvel ; M. Legris ; A. Philibert ; F. Piraux ; A. Termier | Paris [France] : Ellipses | Formations & Techniques | 2021La data science a acquis une grande renommée dans de nombreux domaines mais son utilisation en agriculture et, plus largement dans les sciences environnementales, reste encore limitée. Ce manuel d’initiation vise à démocratiser l’usage de la dat[...]
Ouvrage
Le scientifique des données doit maîtriser plusieurs outils informatiques permettant de mettre en œuvre une méthodologie statistique. Dans sa catégorie, le langage R est un langage de programmation qui peut tout à fait être un outil pertinent po[...]
Ouvrage
Le langage R s’est imposé comme un outil incontournable pour l’analyse, la gestion des données scientifiques et la confection de graphiques. L’objectif de ce livre est de fournir aux étudiants et aux personnes souhaitant s’initier à R des bases [...]
Article
The role of agriculture in environmental degradation and climate change has been at the center of a long-lasting and controversial debate. This situation combined with the expected growth in crop demand and the increasing prices of fertilizers a[...]
Article
Decision support systems and models for aiding irrigation and nutrient management of vegetable crops
Vegetable growers in Europe are continually under increasing pressure to optimize irrigation and nutrient management. This results from the widespread effects of climate change and of competition from other sectors for water, and increasing soci[...]
Article
Currently, at the end of the programming period 2014–2020 and in the view of the new programming exercise, 2021–2027, knowing where South-Muntenia is positioned on the path to sustainable regional development and how the main determinants can be[...]
Article
Pesticides play a crucial role in regulating crop production by reducing crop losses and increasing crop yield and quality. However, they may threaten surface and groundwater, a phenomenon occurring at global scale, potentially causing environme[...]
Article
Participants in agricultural land markets require comprehensive statistics in order to make informed decisions in relation to agricultural land and the associated production. The publication of such data supports land mobility, the competitivene[...]
