Literature DB >> 30883757

State-of-the-art technologies in precision agriculture: a systematic review.

Ishita Bhakta1, Santanu Phadikar1, Koushik Majumder1.   

Abstract

BACKGROUND: The socio-economic status of the countries is ever-changing due to the increasing population. 'Green Revolution', a paradigm shift towards technology driven agriculture, has ensured a good quality of life to some extent for this increasing population. However, it brings in several negative impacts on the environment, which poses a threat to the sustainability of agriculture and natural resources. Precision agriculture (PA) is a state-of-the-art concept of site-specific farm management that helps to overcome this threat in a smart way using modern information and communication technologies. It reduces the indecorous use of resources, pollution and hence improves quality of life, which in turn helps to achieve sustainable development goals.
RESULTS: The objective of this systematic review is to understand the present status, benefits, and limitations of the state-of-the-art technologies used in PA. A total 67 articles are identified following the PRISMA guideline to inspect the technical innovations at different components of PA. The articles are examined based on the novelties, measured parameters, technologies, and field of applications.
CONCLUSION: This analysis results in a significant understanding about the present knowledge gap and identification of the potential future research opportunities for sustainable agronomy.
© 2019 Society of Chemical Industry. © 2019 Society of Chemical Industry.

Keywords:  information and communication technology; precision agriculture; sustainable agronomy; systematic review

Mesh:

Year:  2019        PMID: 30883757     DOI: 10.1002/jsfa.9693

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  9 in total

1.  Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning.

Authors:  Veronika Döpper; Alby Duarte Rocha; Katja Berger; Tobias Gränzig; Jochem Verrelst; Birgit Kleinschmit; Michael Förster
Journal:  Int J Appl Earth Obs Geoinf       Date:  2022-05-18

2.  Distinguishing Allies from Enemies-A Way for a New Green Revolution.

Authors:  Teresa Lino-Neto; Paula Baptista
Journal:  Microorganisms       Date:  2022-05-19

3.  Near Field Communication-based Agricultural Management Service Systems for Family Farms.

Authors:  Xue-Fen Wan; Tao Zheng; Jian Cui; Fan Zhang; Zi-Qian Ma; Yi Yang
Journal:  Sensors (Basel)       Date:  2019-10-11       Impact factor: 3.576

Review 4.  Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture.

Authors:  Marcus Hardie
Journal:  Sensors (Basel)       Date:  2020-12-04       Impact factor: 3.576

Review 5.  A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure.

Authors:  Michele Kremer Sott; Leandro da Silva Nascimento; Cristian Rogério Foguesatto; Leonardo B Furstenau; Kadígia Faccin; Paulo Antônio Zawislak; Bruce Mellado; Jude Dzevela Kong; Nicola Luigi Bragazzi
Journal:  Sensors (Basel)       Date:  2021-11-26       Impact factor: 3.576

6.  Determination of Soil Constituents Using Shifted Excitation Raman Difference Spectroscopy.

Authors:  Kay Sowoidnich; Sebastian Vogel; Martin Maiwald; Bernd Sumpf
Journal:  Appl Spectrosc       Date:  2022-02-09       Impact factor: 3.588

7.  Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain.

Authors:  John A Donaghy; Michelle D Danyluk; Tom Ross; Bobby Krishna; Jeff Farber
Journal:  Front Microbiol       Date:  2021-05-21       Impact factor: 5.640

8.  Factors Involved on Tiger-Stripe Foliar Symptom Expression of Esca of Grapevine.

Authors:  Francesco Calzarano; Giancarlo Pagnani; Michele Pisante; Mirella Bellocci; Giuseppe Cillo; Elisa Giorgia Metruccio; Stefano Di Marco
Journal:  Plants (Basel)       Date:  2021-05-21

9.  A Systematic Review of IoT Solutions for Smart Farming.

Authors:  Emerson Navarro; Nuno Costa; António Pereira
Journal:  Sensors (Basel)       Date:  2020-07-29       Impact factor: 3.576

  9 in total

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