Drones in agriculture: A review and bibliometric analysis

Rejeb, Abderahman; Abdollahi, Alireza; Rejeb, Karim; Treiblmaier, Horst

doi:10.1016/j.compag.2022.107017

Cited by 289 publications

(106 citation statements)

References 249 publications

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“…Additionally, the agriculture 4.0 technologies applied in the field such as the use of drones and sensors could provide novel ways to assess plant health. Drones can serve as a powerful tool to monitor the growth of crops ( Rejeb et al., 2022 ). For example, new spectroscopic techniques, such as unmanned aerial vehicle (UAV) multispectral sensor is already used in the field for monitoring crop leaf N accumulation, leaf area index, and leaf dry weight and photosynthetic capacity ( Potgieter et al., 2017 ; Yao et al, 2019 ; Zhang et al, 2020 ; Sharma et al., 2022 ).…”

Section: Future Perspectivesmentioning

confidence: 99%

Unearthing soil-plant-microbiota crosstalk: Looking back to move forward

et al. 2023

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The soil is vital for life on Earth and its biodiversity. However, being a non-renewable and threatened resource, preserving soil quality is crucial to maintain a range of ecosystem services critical to ecological balances, food production and human health. In an agricultural context, soil quality is often perceived as the ability to support field production, and thus soil quality and fertility are strictly interconnected. The concept of, as well as the ways to assess, soil fertility has undergone big changes over the years. Crop performance has been historically used as an indicator for soil quality and fertility. Then, analysis of a range of physico-chemical parameters has been used to routinely assess soil quality. Today it is becoming evident that soil quality must be evaluated by combining parameters that refer both to the physico-chemical and the biological levels. However, it can be challenging to find adequate indexes for evaluating soil quality that are both predictive and easy to measure in situ. An ideal soil quality assessment method should be flexible, sensitive enough to detect changes in soil functions, management and climate, and should allow comparability among sites. In this review, we discuss the current status of soil quality indicators and existing databases of harmonized, open-access topsoil data. We also explore the connections between soil biotic and abiotic features and crop performance in an agricultural context. Finally, based on current knowledge and technical advancements, we argue that the use of plant health traits represents a powerful way to assess soil physico-chemical and biological properties. These plant health parameters can serve as proxies for different soil features that characterize soil quality both at the physico-chemical and at the microbiological level, including soil quality, fertility and composition of soil microbial communities.

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Section: Future Perspectivesmentioning

confidence: 99%

Unearthing soil-plant-microbiota crosstalk: Looking back to move forward

et al. 2023

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“…Co-citation is the appearance of two different authors or sources in the reference list of the same publication [115]. When two papers are regularly cited together, it suggests that they share similar topics or substance.…”

Section: Article Co-citation Analysismentioning

confidence: 99%

Exploring Food Supply Chain Trends in the COVID-19 Era: A Bibliometric Review

Rejeb

Appolloni

et al. 2022

Sustainability

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Recently, the food supply chain (FSC) has been severely disrupted due to the COVID-19 pandemic, putting the vital flow of food products from farmers and producers to the ultimate consumers at risk. Furthermore, due to the pandemic, several food organizations have been prompted to rethink their strategies for the future. Although the literature on FSC research in the COVID-19 era is increasing, no attempt has been made to summarize this stream of research using bibliometric techniques. This paper fills this knowledge gap and looks at the current scholarly discourse around the FSC and COVID-19. Applying bibliometric techniques, 287 journal articles were extracted from Scopus and analyzed to determine the temporal evolution of FSC research, the most productive journals, researchers, countries, and the most relevant keywords and publications. To construct a keyword co-occurrence network and categorize the relevant literature, we used the computer program VOSviewer. The findings demonstrate the rapid expansion of FSC research during the COVID-19 pandemic. In addition, the top authors, publications, and nations for scientific output were also determined. Keyword co-occurrence network and detailed qualitative analysis both illustrate that FSC research revolves around six main themes: the impact of COVID-19 on the FSC and agriculture, FSC resilience, food waste and insecurity, fisheries and aquaculture, blockchain technology, and governance and innovation. This study represents the first effort to map worldwide FSC research in the COVID-19 era and draw on a comprehensive collection of journal articles and bibliometric approaches. It offers academics, practitioners, and decision-makers a snapshot of the state of the art in the FSC field and points to where further research is needed.

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“…Abdollahi et al (2021) conducted a bibliometric analysis between the years 2002 to 2021 to investigate the application of Wireless Sensor Networks (WSN) in agriculture. Rejeb et al (2022a) conducted a bibliometric analysis between the years 2000-2021 to understand the comprehensive application of drones in agriculture. Rejeb et al (2022b) looked at the applications of Artificial Intelligence (AI) in agriculture between the years 1992-2021 by conducting a bibliometric analysis.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions

Yousaf

Kayvanfar²,

Mazzoni³

et al. 2023

Front. Sustain. Food Syst.

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As the world population is expected to touch 9.73 billion by 2050, according to the Food and Agriculture Organization (FAO), the demand for agricultural needs is increasing proportionately. Smart Agriculture is replacing conventional farming systems, employing advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) to ensure higher productivity and precise agriculture management to overcome food demand. In recent years, there has been an increased interest in researchers within Smart Agriculture. Previous literature reviews have also conducted similar bibliometric analyses; however, there is a lack of research in Operations Research (OR) insights into Smart Agriculture. This paper conducts a Bibliometric Analysis of past research work in OR knowledge which has been done over the last two decades in Agriculture 4.0, to understand the trends and the gaps. Biblioshiny, an advanced data mining tool, was used in conducting bibliometric analysis on a total number of 1,305 articles collected from the Scopus database between the years 2000–2022. Researchers and decision makers will be able to visualize how newer advanced OR theories are being applied and how they can contribute toward some research gaps highlighted in this review paper. While governments and policymakers will benefit through understanding how Unmanned Aerial Vehicles (UAV) and robotic units are being used in farms to optimize resource allocation. Nations that have arid climate conditions would be informed how satellite imagery and mapping can assist them in detecting newer irrigation lands to assist their scarce agriculture resources.

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Drones in agriculture: A review and bibliometric analysis

Cited by 289 publications

References 249 publications

Unearthing soil-plant-microbiota crosstalk: Looking back to move forward

Unearthing soil-plant-microbiota crosstalk: Looking back to move forward

Exploring Food Supply Chain Trends in the COVID-19 Era: A Bibliometric Review

Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions

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