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Mechanisation of large-scale agricultural fields in developing countries - a review

Overview of attention for article published in Journal of the Science of Food and Agriculture, April 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Mechanisation of large-scale agricultural fields in developing countries - a review
Published in
Journal of the Science of Food and Agriculture, April 2016
DOI 10.1002/jsfa.7699
Pubmed ID
Authors

Daniel I Onwude, Rafia Abdulstter, Chandima Gomes, Norhashila Hashim

Abstract

Mechanisation of large scale agricultural fields often requires the application of modern technologies such as mechanical power, automation, control and robotics. These technologies are generally associated with relatively well developed economies. The application of these technologies in some developing countries in Africa and Asia is limited by factors such as technology compatibility with the environment, availability of resources to facilitate the technology adoption, cost of technology purchase, government policies, adequacy of technology and appropriateness in addressing the needs of the population. As a result, many of the available resources have been used inadequately by farmers, who continue to rely mostly on conventional means of agricultural production, using traditional tools and equipment in most cases. This has led to low productivity and high cost of production amongst others. Thus, this paper attempts to evaluate the application of present day technology and its limitations to the advancement of large scale mechanisation in developing countries of Africa and Asia. Particular emphasis is given to a general understanding of the various levels of mechanization, present day technology, its management and application to large scale agricultural fields. This review also focuses on/ gives emphasis to future outlook that will enable a gradual, evolutionary, and sustainable technological change. The study concludes that large scale-agricultural farm mechanisation for sustainable food production in Africa and Asia must be anchored on a coherent strategy based on the actual needs and priorities of the large- scale farmers.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Nigeria 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Student > Master 8 19%
Student > Doctoral Student 5 12%
Other 4 10%
Researcher 3 7%
Other 9 21%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Engineering 5 12%
Economics, Econometrics and Finance 5 12%
Social Sciences 4 10%
Environmental Science 3 7%
Other 7 17%
Unknown 6 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2019.
All research outputs
#4,069,446
of 14,432,587 outputs
Outputs from Journal of the Science of Food and Agriculture
#610
of 3,049 outputs
Outputs of similar age
#80,201
of 264,357 outputs
Outputs of similar age from Journal of the Science of Food and Agriculture
#8
of 61 outputs
Altmetric has tracked 14,432,587 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,049 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,357 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.