Modeling for Sustainable Management in Agriculture, Food and the Environment

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Modeling for Sustainable Management in Agriculture, Food and the Environment

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 242 p.
  • 言語 ENG
  • 商品コード 9781032013114
  • DDC分類 338.10285

Full Description

Recent developments in computer science, data mining and big data analytics have resulted in new operational frameworks in agriculture, food and the environment, which in fact, share a strong link between them. A key challenge for researchers is to extract new data patterns and utilize them in decision making. Managers, policy makers, and practitioners have to be aware of these methodologies in order to establish efficient and effective working groups for the tasks to be resolved.

The book reviews the complexity of the interrelationship between agriculture, food production and processing, and environmental issues. It also highlights the prospects of modeling in various cases of problem solving in these sectors, and reviews the new and future challenges. Consumer awareness in food production and processing practices is continually increasing and the necessity for advanced behavioural tools follows the same trend. Furthermore, the value chain management challenge is becoming one of the most crucial tasks due to the increased importance of new parameters like the origin of products, its environmental footprint and the enhancement of local production, etc. The book addresses these topics in a holistic approach, merging modeling with advanced marketing practices in a coherent and innovative manner, being an effective tool in a continuously demanding world.

Contents

1. New Technologies Contribution on the Agrifood Sector for Achieving Circular Economy Goals 2. Dimensionality Reduction Techniques for High-dimensional Data in Precision Agriculture 3. Modelling Land Use and Land Cover Changes in the Mediterranean Agricultural Ecosystems 4. Farmers' Perceptions Towards Social-economic Sustainability: A Case Study of the Karla Basin 5. Advanced Crop Protection Techniques and Technologies 6. Remote Sensing in Agricultural Production Assessment 7. Integrating Agriculture-related Data Provided by Thematic Networks into a High Impact Knowledge Reservoir 8. A Multicriteria DEA Model for Estimating the Efficiency of Agricultural Production Process

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