A5066793449- Animal Behavior and Welfare Studies
- Agricultural Economics and Policy
- Genetic and phenotypic traits in livestock
- Food Supply Chain Traceability
- Sustainable Agricultural Systems Analysis
- Optimization and Mathematical Programming
- Food Waste Reduction and Sustainability
- Supply Chain and Inventory Management
- Sugarcane Cultivation and Processing
- Agriculture Sustainability and Environmental Impact
- Animal Disease Management and Epidemiology
- Assembly Line Balancing Optimization
- Smart Agriculture and AI
- Animal Nutrition and Physiology
- Advanced Manufacturing and Logistics Optimization
- Agricultural and Food Production Studies
- Environmental Impact and Sustainability
- Forest Management and Policy
- Water resources management and optimization
- Urban and Freight Transport Logistics
- Biofuel production and bioconversion
- Business, Innovation, and Economy
- Simulation Techniques and Applications
- Big Data and Business Intelligence
- Meat and Animal Product Quality
Universitat de Lleida
2016-2025
ORCID
2020
Institute of Agrifood Research and Technology
2004
This paper presents a genetic algorithm-based methodology to address the Site-Specific Management Zone (SSMZ) delineation problem. A SSMZ is subregion of field that homogeneous with respect soil or crop property, enabling farmers apply customized management strategies for optimizing resource use. The algorithm generates optimized partitions using rectangular zones, applicable both regular and irregularly shaped fields. To best our knowledge, Genetic Algorithm Delineation (GAZD) first...
Abstract The quality of such processed agrifood products as dehydrated apple is related to the and variety fresh harvested connected with wastage reduction throughout supply chain. For this purpose, cold‐storage management important avoid or mitigate decay stored in refrigerated systems. This paper explores benefits a two‐stage stochastic programming model for product through selection producers cold storage deterioration guarantee maintenance quality. A case study real data from an...
Numerous recent papers based on deep learning (DL) have been published covering a wide range of applications to pig production. These provide information susceptible being used make better decisions. However, the potential use as tools for supporting production decisions or integration in existing new decision models not explored yet. The goal this systematic literature review (SLR) is an overview developments cutting-edge DL methodologies proposed and how they can serve improve making...
With the growing adoption of Internet Things (IoT) technology in agricultural sector, smart devices are becoming more prevalent. The availability new, timely, and precise data offers a great opportunity to develop advanced analytical models. Therefore, platform used deliver new developments final user is key enabler for adopting IoT technology. This work presents generic design software based on cloud implemented using microservices facilitate use predictive or prescriptive analytics under...