Supervised classification and NDVI calculation from remote piloted aircraft images for coffee plantations applications

Santos, Sthéfany Airane dos; Ferraz, Gabriel Araújo e Silva; Figueiredo, Vanessa; Santana, Lucas Santos; Campos, Beatriz Fonseca Dominik

doi:10.25186/.v16i.1978

Cited by 1 publication

(1 citation statement)

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“…They identified acceptable results using the Green Normalized Difference Vegetation Index (GNDVI) and the Green Optimized Soil-Adjusted Vegetation Index (GOSAVI), allowing for the spatial distribution evaluation as well as the quantification of deficiency across the entire study area. Bonnaire Rivera et al [44] and Dos Santos et al [45] aimed to demonstrate the applicability of precision agriculture and remote sensing for coffee crop monitoring, identifying areas with higher and lower vegetative vigor based on the Normalized Difference Vegetation Index (NDVI). They showed that this index can be applied to this crop.…”

Section: Temporal Evolution Of Research and Characteristics Of The St...mentioning

confidence: 99%

Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review

Bento,

Ferraz,

Santana

et al. 2023

AgriEngineering

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Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing to improved sampling, measurements, and operational efficiency, ultimately leading to increased profitability in crop production. This technology is becoming a reality in coffee farming, an essential commodity in the global economic balance, mainly due to academic attention and applicability. This study presents a bibliometric analysis focused on using RPASs in coffee farming to structure the existing academic literature and reveal trends and insights into the research topic. For this purpose, searches were conducted over the last 20 years (2002 to 2022) in the Web of Science and Scopus scientific databases. Subsequently, bibliometric analysis was applied using Biblioshiny for Bibliometrix software in R (version 2022.07.1), with emphasis on the temporal evolution of research on the topic, performance analysis highlighting key publications, journals, researchers, institutions, countries, and the scientific mapping of co-authorship, keywords, and future trends/possibilities. The results revealed 42 publications on the topic, with the pioneering studies being the most cited. Brazilian researchers and institutions (Federal University of Lavras) have a strong presence in publications on the subject and in journals focusing on technological applications. As future trends and possibilities, the employment of technology optimizes the productivity and profitability studies of coffee farming for the timely and efficient application of aerial imaging.

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Section: Temporal Evolution Of Research and Characteristics Of The St...mentioning

confidence: 99%