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exaly
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Journals
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Computers and Electronics in Agriculture
›
top-articles
Computers and Electronics in Agriculture
8.3
(top 2%)
impact factor
6.5K
(top 5%)
papers
210.6K
(top 2%)
citations
157
(top 2%)
h
-index
8.4
(top 2%)
impact factor
7.9K
all documents
226.0K
doc citations
241
(top 2%)
g
-index
Top Articles
#
Title
Journal
Year
Citations
1
Deep learning in agriculture: A survey
Computers and Electronics in Agriculture
2018
2,210
2
Deep learning models for plant disease detection and diagnosis
Computers and Electronics in Agriculture
2018
1,501
3
A review of advanced techniques for detecting plant diseases
Computers and Electronics in Agriculture
2010
943
4
Wireless sensors in agriculture and food industry—Recent development and future perspective
Computers and Electronics in Agriculture
2006
830
5
Precision agriculture—a worldwide overview
Computers and Electronics in Agriculture
2002
790
6
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Computers and Electronics in Agriculture
2018
752
7
Apparent soil electrical conductivity measurements in agriculture
Computers and Electronics in Agriculture
2005
718
8
Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
Computers and Electronics in Agriculture
2010
692
9
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
Computers and Electronics in Agriculture
2019
639
10
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
Computers and Electronics in Agriculture
2015
630
11
Verification of color vegetation indices for automated crop imaging applications
Computers and Electronics in Agriculture
2008
625
12
A comparative study of fine-tuning deep learning models for plant disease identification
Computers and Electronics in Agriculture
2019
612
13
Crop yield prediction using machine learning: A systematic literature review
Computers and Electronics in Agriculture
2020
600
14
Autonomous robotic weed control systems: A review
Computers and Electronics in Agriculture
2008
576
15
On-the-go soil sensors for precision agriculture
Computers and Electronics in Agriculture
2004
571
16
A review on the practice of big data analysis in agriculture
Computers and Electronics in Agriculture
2017
570
17
Soil properties influencing apparent electrical conductivity: a review
Computers and Electronics in Agriculture
2005
546
18
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
Computers and Electronics in Agriculture
2018
537
19
Using deep transfer learning for image-based plant disease identification
Computers and Electronics in Agriculture
2020
488
20
IoT and agriculture data analysis for smart farm
Computers and Electronics in Agriculture
2019
474
21
Deep learning for plant identification using vein morphological patterns
Computers and Electronics in Agriculture
2016
437
22
Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture
Computers and Electronics in Agriculture
2019
417
23
Testing the performance of spatial interpolation techniques for mapping soil properties
Computers and Electronics in Agriculture
2006
409
24
Agricultural land use suitability analysis using GIS and AHP technique
Computers and Electronics in Agriculture
2013
409
25
A geometric solar radiation model with applications in agriculture and forestry
Computers and Electronics in Agriculture
2002
404
26
Measurement of soil water content and electrical conductivity by time domain reflectometry: a review
Computers and Electronics in Agriculture
2001
400
27
Sensing technologies for precision specialty crop production
Computers and Electronics in Agriculture
2010
390
28
Sensors and systems for fruit detection and localization: A review
Computers and Electronics in Agriculture
2015
389
29
An overview of current and potential applications of thermal remote sensing in precision agriculture
Computers and Electronics in Agriculture
2017
387
30
A survey of image processing techniques for plant extraction and segmentation in the field
Computers and Electronics in Agriculture
2016
379
31
Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
Computers and Electronics in Agriculture
2018
375
32
Wheat yield prediction using machine learning and advanced sensing techniques
Computers and Electronics in Agriculture
2016
372
33
Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
Computers and Electronics in Agriculture
2019
366
34
Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
Computers and Electronics in Agriculture
2014
365
35
An IoT based smart irrigation management system using Machine learning and open source technologies
Computers and Electronics in Agriculture
2018
364
36
Decision support systems for agriculture 4.0: Survey and challenges
Computers and Electronics in Agriculture
2020
363
37
Review of IoT applications in agro-industrial and environmental fields
Computers and Electronics in Agriculture
2017
362
38
A review on weed detection using ground-based machine vision and image processing techniques
Computers and Electronics in Agriculture
2019
353
39
Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size
Computers and Electronics in Agriculture
2002
347
40
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
Computers and Electronics in Agriculture
2018
346
41
Weed detection in soybean crops using ConvNets
Computers and Electronics in Agriculture
2017
341
42
Machine vision technology for agricultural applications
Computers and Electronics in Agriculture
2002
331
43
Imaging from an unmanned aerial vehicle: agricultural surveillance and decision support
Computers and Electronics in Agriculture
2004
319
44
Colour and shape analysis techniques for weed detection in cereal fields
Computers and Electronics in Agriculture
2000
315
45
Deep learning – Method overview and review of use for fruit detection and yield estimation
Computers and Electronics in Agriculture
2019
310
46
Vision-based pest detection based on SVM classification method
Computers and Electronics in Agriculture
2017
309
47
Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables
Computers and Electronics in Agriculture
1999
304
48
Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture
Computers and Electronics in Agriculture
2001
303
49
CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
Computers and Electronics in Agriculture
2012
297
50
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
Computers and Electronics in Agriculture
2018
292
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