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Precision Agriculture
H-index 31

Precision Agriculture

1385-2256

Published by: Springer

https://www.springer.com/journal/11119

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Plant Science and Agronomy 69 79 100 23
Engineering and Technology 984 11 14 8

Additional Metrics

Number of Best Scientists*: 182
Documents by Best Scientists*: 189
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 98
SCIMAGO SJR: 1.337
Impact Factor: 6.6

Overview

Top Research Topics at Precision Agriculture?

The primary areas of discussion in the journal are Precision agriculture, Agronomy, Remote sensing, Spatial variability and Soil science. The Precision agriculture research discussed is included in the broader subject of Agriculture. The presentations discussing Agronomy offer insights in topics such as Crop, Crop yield, Fertilizer, Yield (wine) and Weed.

The journal investigates Weed research which frequently intersects with Weed control. In addition to Remote sensing research, the journal aims to explore topics under Canopy and Vegetation, Normalized Difference Vegetation Index. The journal connects the study in Spatial variability with the closely related area of Sampling (statistics).

The research on Soil science tackled can also make contributions to studies in the areas of Hydrology and Water content.

  • Precision agriculture (28.10%)
  • Agronomy (24.26%)
  • Remote sensing (19.00%)

What are the most cited papers published in the journal?

  • The application of small unmanned aerial systems for precision agriculture: a review (979 citations)
  • Future Directions of Precision Agriculture (485 citations)
  • Precision Agriculture and Sustainability (359 citations)

Research areas of the most cited articles at Precision Agriculture:

The journal papers explore disciplines such as Precision agriculture, Remote sensing, Agronomy, Agriculture and Canopy. The journal articles address concerns in the field of Precision agriculture by exploring it in line with topics in Soil science which intersect with Sampling (statistics) and Spatial variability subjects. The works on Remote sensing tackled in the journal papers bring together disciplines like Vegetation and Normalized Difference Vegetation Index.

What topics the last edition of the journal is best known for?

  • Agriculture
  • Statistics
  • Artificial intelligence

The previous edition focused in particular on these issues:

The discussions in Precision Agriculture mainly cover the fields of Remote sensing, Precision agriculture, Agriculture, Artificial intelligence and Agricultural engineering. Some problems in Remote sensing that were presented in Precision Agriculture overlapped with concepts under Canopy and Satellite. The Canopy study featured in it draws parallels with the field of Vegetation.

The journal focuses on Precision agriculture but the discussions also offer insight into other areas such as Soil science and Statistics. While the journal focused on Agriculture, it was also able to explore topics like Yield (wine), Agricultural economics and Yield (finance). The journal focused on Agricultural engineering research but expanded to cover Irrigation.

The most cited articles from the last journal are:

  • Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model (16 citations)
  • Robots in agriculture: prospects, impacts, ethics, and policy (11 citations)
  • Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Precision Agriculture (based on the number of publications) are:

  • Bruno Tisseyre (40 papers) published 12 papers at the last edition, 10 more than at the previous edition,
  • Victor Alchanatis (19 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • James A. Taylor (19 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • James Lowenberg-DeBoer (18 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Alex B. McBratney (18 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Precision Agriculture (based on the number of publications) are:

  • Agricultural Research Service (99 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • University of Nebraska–Lincoln (42 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Spanish National Research Council (42 papers) published 9 papers at the last edition, 7 more than at the previous edition,
  • University of Florida (35 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • SupAgro (33 papers) published 8 papers at the last edition, 6 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.24% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.95% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.16% of all publications and 46.46% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Color-, depth-, and shape-based 3D fruit detection

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Juntao Xiong

    (2020)
    179 Citations
  • Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review

    Unknown

    (2023)
    174 Citations
  • Fruit detection in natural environment using partial shape matching and probabilistic Hough transform

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Jiabing Cheng

    (2020)
    153 Citations
  • Assessment of maize yield and phenology by drone-mounted superspectral camera

    Ittai Herrmann;Eyal Bdolach;Yogev Montekyo;Shimon Rachmilevitch

    (2020)
    102 Citations
  • Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data

    Francesco Argento;Thomas Anken;F. Abt;E. Vogelsanger

    (2021)
    97 Citations
  • Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach

    Unknown

    (2022)
    96 Citations
  • Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques

    Rocío Ballesteros;Diego S. Intrigliolo;José F. Ortega;Juan M. Ramírez-Cuesta

    (2020)
    94 Citations
  • A review of methods to evaluate crop model performance at multiple and changing spatial scales

    (2022)
    76 Citations
  • Status quo of adoption of precision agriculture enabling technologies in Swiss plant production

    Tanja Groher;Katja Heitkämper;Achim Walter;Frank Liebisch

    (2020)
    74 Citations
  • Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves

    Jingshan Lu;Tiancheng Yang;Xi Su;Hao Qi

    (2020)
    56 Citations

Related Online Degrees & Career Pathways

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