Trends on Advanced Information and Communication Technologies for Improving Agricultural Productivities: A Bibliometric Analysis

Agronomy

TaniaA. Ramirez-delReal¹  Daniel Villanueva-Vásquez¹  Dagoberto Armenta-Medina¹  Cristian Mejia-Aguirre² 

[1] CONACyT Consejo Nacional de Ciencia y Tecnología, Dirección de Cátedras, Insurgentes Sur 1582, Crédito Constructor, 03940 Ciudad de México, Mexico;INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación, Circuito Tecnopolo Sur No 112, Fracc. Tecnopolo Pocitos II, 20313 Aguascalientes, Mexico;

关键词: bibliometrics;    precision agriculture;    science mapping;    smart farming;    IoT;   

DOI  :  10.3390/agronomy10121989

来源: DOAJ

【 摘 要 】

In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed.

【 授权许可】

Unknown