Examinando por Autor "Quilcate Pairazaman, Carlos"

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Implementing artificial intelligence to measure meat quality parameters in local market traceability processes
(John Wiley & Sons Inc., 2024-09-20) Alvarez García, Wuesley Yusmein; Mendoza, Laura; Muñoz Vílchez, Yudith Yohany; Casanova Núñez-Melgar, David; Quilcate Pairazaman, Carlos
The application of computer technologies associated with sensors and artificial intelligence (AI) in the quantification and qualification of quality parameters of meat products of various domestic species is an area of research, development, and innovation of great relevance in the agri-food industry. This review covers the most recent advances in this area, highlighting the importance of computer vision, artificial intelligence, and ultrasonography in evaluating quality and efficiency in meat products’ production and monitoring processes. Various techniques and methodologies used to evaluate quality parameters such as colour, water holding capacity (WHC), pH, moisture, texture, and intramuscular fat, among others related to animal origin, breed and handling, are discussed. In addition, the benefits and practical applications of the technology in the meat industry are examined, such as the automation of inspection processes, accurate product classification, traceability, and food safety. While the potential of artificial intelligence associated with sensor development in the meat industry is promising, it is crucial to recognize that this is an evolving field. This technology offers innovative solutions that enable efficient, cost effective, and consumer-oriented production. However, it also underlines the urgent need for further research and development of new techniques and tools such as artificial intelligence algorithms, the development of more sensitive and accurate multispectral sensors, advances in computer vision for 3D image analysis and automated detection, and the integration of advanced ultrasonography with other technologies. Also crucial is the development of autonomous robotic systems for the automation of inspection processes, the implementation of real-time monitoring systems for traceability and food safety, and the creation of intuitive interfaces for human-machine interaction. In addition, the automation of sensory analysis and the optimisation of sustainability and energy efficiency are key areas that require immediate attention to address the current challenges in this agri-food and agri-industrial sector, highlighting and emphasising the importance of ongoing innovation in the field.
Sustainability of Kikuyu Grass (Pennisetum clandestinum) for the Development of Highland Livestock Farming in the Northern Macro-Region of Peru
(Preprints.org, 2024-10-10) Alvarez García, Wuesley Yusmein; Diaz, Arturo; Becerra, Yessica; Vallejos Fernández, Luis A.; Florián, Roy; Carrasco Chilón, William Leoncio; Cervantes Peralta, Marieta Eliana; Quilcate Pairazaman, Carlos; Muñoz Vilchez, Yudith
The productive sustainability of Pennisetum clandestinum in the Peruvian highlands was evaluated through productivity, growth and chemical composition. The effect of the nitrogen (N2) dose applied to the soil, the use of organic matter and the frequency of cutting or phenological age on the productive yields, chemical composition, plant height and growth rate of Kikuyu were determined. Experimentation was carried out under a randomised block design in divided plots. A multivariate analysis of variance (MANOVA) was used to determine the associated differences in each study factor. It was determined that applying 120 kg of N2 increases the annual protein production to 3 454.53 kg ha-¹. yr-¹, and a crude protein (CP) level of 23.54%, the distance of the live fences influences the biomass production to 19 176.23 kg DM ha-¹ at an interval of 8.5 to 11.5 meters from the base of the cypress tree (Cupressus lusitanica). Organic matter favours the biomass yield of Kikuyu. Although there is no difference in dry matter production between 30 and 60 days of cutting, CP production is higher at 30 (p<0.05). The highest DM production per day is obtained at 45 days, generating a higher biomass accumulation of 21 186.9 kg DM ha-¹. yr-¹. The consideration of Pennisetum clandestinum for dairy cattle is viable, taking into account that the possibility of implementing a plant improvement programme on this species is open, aimed at increasing the composition of the diet in high-production cows due to its high yield and good chemical composition in highland conditions.
Sustainability Potential of Kikuyu Grass (Pennisetum clandestinum) in Livestock Farming of Peru's Highland Regions
(MDPI, 2024-12-16) Alvarez García, Wuesley Yusmein; Díaz, Arturo; Becerra, Yessica; Vallejos Fernández, Luis A.; Florián Lescano, Roy Roger; Carrasco Chilón, William Leoncio; Cervantes Peralta, Marieta Eliana; Quilcate Pairazaman, Carlos; Muñoz Vilchez, Yudith
The productive sustainability of Pennisetum clandestinum in the Peruvian highlands was evaluated through productivity, growth and chemical composition. The effect of the nitrogen (N) rate, organic matter application, and cutting frequency on Kikuyu grass's yield, chemical composition, plant height, and growth rate was investigated. Experimentation followed a randomized block design with split plots. Multivariate analysis of variance (MANOVA) assessed differences across study factors. Applying 120 kg of N ha-1 yr-1 raised the protein yield to 3454.53 kg ha¯¹, with a crude protein (CP) content of 23.54%. Moreover, cypress (Cupressus lusitanica) trees influenced the Kikuyu biomass, producing 19,176.23 kg of dry matter (DM) ha-1 yr-1 at 8.5-11.5 m from the tree base. Organic matter enhanced Kikuyu aboveground biomass. While dry matter production showed no significant difference between 30- and 60-day cutting intervals, CP content was higher at 30 (p < 0.05). Peak daily dry matter (DM) production occurred at 45 days, achieving a biomass accumulation of 21,186.9 kg DM ha-1 yr-1. Given its high yield and favorable chemical composition, Kikuyu is a viable option for dairy cattle feed, especially in highland areas. Implementing a plant improvement program for Kikuyu could further enhance its nutritional value for high-production dairy cows.