A EVOLUÇÃO DA UTILIZAÇÃO DA I.A NO PROCESSO DE GERENCIAMENTO DE FROTAS E ENVIO DE FRUTÍFERAS

ABSTRACT This article addresses the growing relevance and evolution of the use of artificial intelligence (AI) in the process of managing fleets aimed at shipping fruit trees, highlighting how technology has been essential to improve logistics and ensure the quality of the product to the destination. Initially used in basic tracking systems, AI has come to play a strategic and fundamental role, today making it possible to predict ideal transport conditions, control temperature and humidity, optimize routes based on climate and traffic variables, and perform predictive maintenance of vehicles in real time. With this, it becomes possible to reduce losses, increase the efficiency of deliveries and ensure that fruit trees arrive in perfect condition, also demonstrating how the progressive integration of machine learning algorithms has allowed for more efficient, safe and economical fleet management. At the end of the article, future trends and challenges to be faced are pointed out, reinforcing that the evolution of AI in this sector is continuous and essential for logistics innovation. KEYWORDS: Fleet Management; A.I.; Fruit

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Publication Details

Journal
Revista fisio&terapia.
Published
2025-06-13
DOI
https://doi.org/10.69849/revistaft/dt10202506131706
Primary Topic
Brazilian Legal Issues
Type
article
Field-Weighted Citation Impact
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article

A EVOLUÇÃO DA UTILIZAÇÃO DA I.A NO PROCESSO DE GERENCIAMENTO DE FROTAS E ENVIO DE FRUTÍFERAS

Giselly do Socorro Santos De Oliveira, Victorine de Oliveira, Samira Gardziulis, Gabriel Ferraz Cusatis
Revista fisio&terapia.
Brazilian Legal Issues
article

A EVOLUÇÃO DA UTILIZAÇÃO DA I.A NO PROCESSO DE GERENCIAMENTO DE FROTAS E ENVIO DE FRUTÍFERAS

Giselly do Socorro Santos De Oliveira, Victorine de Oliveira, Samira Gardziulis, Gabriel Ferraz Cusatis
article en

Abstract

ABSTRACT This article addresses the growing relevance and evolution of the use of artificial intelligence (AI) in the process of managing fleets aimed at shipping fruit trees, highlighting how technology has been essential to improve logistics and ensure the quality of the product to the destination. Initially used in basic tracking systems, AI has come to play a strategic and fundamental role, today making it possible to predict ideal transport conditions, control temperature and humidity, optimize routes based on climate and traffic variables, and perform predictive maintenance of vehicles in real time. With this, it becomes possible to reduce losses, increase the efficiency of deliveries and ensure that fruit trees arrive in perfect condition, also demonstrating how the progressive integration of machine learning algorithms has allowed for more efficient, safe and economical fleet management. At the end of the article, future trends and challenges to be faced are pointed out, reinforcing that the evolution of AI in this sector is continuous and essential for logistics innovation. KEYWORDS: Fleet Management; A.I.; Fruit

Revista fisio&terapia.Vol. 29(147)
Openalex Percentile: Top 78%
Brazilian Legal Issues
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