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Meta-learning Based Prediction of Different Corn Cultivars from Colour Feature Extraction with Image Processing Technique
2021
Journal of Agricultural Sciences
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Because of this reason, in the study, a computer image analysis technique was applied on three corn cultivars. ...
One hundred samples were used for each corn cultivar, and 300 corn grains in total were used for evaluations. ...
A detection experiment was carried out by 50 kernels with cracks and 50 kernels without cracks. Their results indicated 90% to 94% detecting accuracy. ...
doi:10.15832/ankutbd.567407
fatcat:6n6jvf36u5aipdghb2faijh434
Review on Development and Performance Evaluation of Maize Sheller
2019
International Journal of Engineering Research and
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In the present paper, an effort has been taken to perform a literature review on the development and performance evaluation of maize shelling machine. ...
Some hand operated maize shellers have been developed but they shell only one cob at a time and have limitations to use it continuously for a longer period of time. ...
Liao et al. (1994) developed machine vision systems for detection of corn kernel breakage and have shown promising results. ...
doi:10.17577/ijertv8is050329
fatcat:aeyhuywgmzanrpmxsysnogplqq
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview
2019
Sensors
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in characterizing physicochemical quality traits, predicting physiological parameters, detection of defect, pest infestation and seed health. ...
This paper will shed some light on the fundamental configuration of the systems and give a birds-eye view of all recent approaches in the acquisition, processing and reproduction of multispectral images ...
machine vision system. ...
doi:10.3390/s19051090
fatcat:iyyfxy57indmrazf664fkuun4m
Page 2230 of Bibliography of Agriculture. Annual Cumulative Indexes Vol. 58, Issue Cumulative Index
[page]
Bibliography of Agriculture. Annual Cumulative Indexes
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in stressed corn. 1144956
Corn kernel hardness classification by color segmentation.
1153615
Corn kernel stress crack detection by machine vision. 1180558
Customizing commerically available machine vision ...
software.
1181304 Detecting spray droplets on leaves with machine vision. 1140838
Detecting watercore in apples with machine vision. 1136316
The development of a machine vision course for agricultural ...
2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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., +, JSTARS
2020 685-707
Computer vision
Foreword to the Special Issue on Computer Vision-Based Approaches for
Earth Observation. ...
Toward the GMF for Wind Speed and Surface Stress Retrieval in Hurricanes Based on the Collocated GPS-Dropsonde and Remote Sensing Data. ...
A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020 ...
doi:10.1109/jstars.2021.3050695
fatcat:ycd5qt66xrgqfewcr6ygsqcl2y
Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared
2013
Biosystems Engineering
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55-13:00
(SPC03): SPECTROMETRY
Moderator: Manuela Zude
Location: ROOM 8+9
10:55
Introduction
11:00 C-2214 WATER STRESS DETECTION BASED ON
OPTICAL MULTISENSOR FUSION WITH
A LEAST SQUARES SUPPORT ...
FIELDS USING MACHINE VISION Gerrit Polder Gerrit Polder, Gerie (W.A.M.) van der Heijden, Joop van Doorn, Ton (A. ...
doi:10.1016/j.biosystemseng.2013.03.005
fatcat:onnkzfpj3nghbam57r7mbmzs6e
Automatic and Accurate Calculation of Rice Seed Setting Rate Based on Image Segmentation and Deep Learning
2021
Frontiers in Plant Science
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In this study, we propose a method based on image segmentation and deep learning to automatically identify rice grains and calculate RSSR. ...
By collecting information on the rice panicle, our proposed image automatic segmentation method can detect the full grain and empty grain, after which the RSSR can be calculated by our proposed rice seed ...
Lin et al. (2018) proposed a machine vision system based on the deep convolutional neural network (DCNN) architecture to improve, compared with traditional approaches, the accuracy with which three distinct ...
doi:10.3389/fpls.2021.770916
pmid:34970287
pmcid:PMC8712771
fatcat:cnmtchzy5rej3kbqfdqaf2noze
On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey
2021
Agriculture
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This paper presents a contemporary overview of research undertaken over the past decade in the field of disease identification of different crops using machine learning, deep learning, image processing ...
Disease attacks are constant threats to agriculture and cause heavy losses in the country's economy. Therefore, early detection can mitigate the severity of diseases and protect crops. ...
Otherwise, the most relevant challenge was the disease detection at an early stage. As an optimal solution, they worked on thermal imaging, which is very effective in detecting water stress. ...
doi:10.3390/agriculture12010009
fatcat:rjihib2navedfkbhw4cplyzsue
Page 2601 of Bibliography of Agriculture. Annual Cumulative Indexes Vol. 56, Issue CUMULATIVE INDEX
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vision system for corn stress-crack detection. 980227 Evaluation of corn and barley as energy sources for cows in early lactation fed alfalfa-based diets. 965333 Evaluation of dairy food processing wash ...
vision. 980228 Feed resources for poultry production in Asia and the Pacific region. ...
Valorizzazione di biomasse residuali del settore agricolo
2020
Zenodo
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The doctoral research was performed into a context characterized by the awareness of the need to adopt circular economy models, based on the re-use of residues and by-products replacing non-renewable fossil ...
The second chapter is dedicated to the analysis of the potential of agricultural residues in Italy with a focus on a new estimation methodology developed for pruning. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.5281/zenodo.4058243
fatcat:7nl6r7sftndf3apn7xnkzsrw64
Cultivation_Problems_and_Perspectives (2).pdf
2020
figshare.com
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In terms of exportat [...] ...
Variety selection, environmental conditions, irrigation and fertilization all exert substantial influence on the oil quality parameters. ...
Cracking machines consist of pairs of counter-rotating, corrugated rolls. One roll in each pair rotates faster than the other, to provide the shearing effect necessary to break the seed. ...
doi:10.6084/m9.figshare.13180670.v1
fatcat:ma55e5wj4fenpmdsawd62zlgxa
Food engineering and technology
[chapter]
2017
Advanced Engineering and Technology III
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Ye et al. (2010) put forward a new method of surface crack width measurement based on image processing technology. ...
Ye et al. (2010) put forward a new method of surface crack width measurement based on image processing technology. ...
CONCLUSIONS In this study, extraction conditions of flavonoids from the seed shell of Juglans mandshurica was investigated with a three-variable, three-level experiment Box-Behnken Design based on response ...
doi:10.4324/9781315387222-8
fatcat:7x3p2xawojexflyeu3erexehoy
Semi-Supervised Learning Method for the Augmentation of an Incomplete Image-Based Inventory of Earthquake-Induced Soil Liquefaction Surface Effects
2023
Remote Sensing
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This study uses a partially labeled liquefaction inventory created from visual annotations by experts and proposes a pixel-based approach to detecting unlabeled liquefaction using advanced machine learning ...
It also outperforms supervised learning and can better augment the liquefaction labels across the image in terms of spatial completeness. ...
The [43] inventory is based on the delineation of individual liquefaction surface manifestation to use the inventory to train computer-vision-based algorithms. ...
doi:10.3390/rs15194883
fatcat:loycm4v4h5a5fcgcnnt77qgfle
Multidisciplinary Research in Agriculture and Allied Sciences
[article]
2023
Zenodo
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The ideal ratio of nutrients for optimum growth depends on the crop and soil. ...
Soil test based fertilizer recommendations ensure balanced use of fertilizers and increase yields and profits. ...
One of the key drivers of this change is the joining of Man-made reasoning (computer based intelligence) and Machine Knowledge (MK) procedures in horticultural practices. ...
doi:10.5281/zenodo.10446300
fatcat:pfmbcvvikrfjpdm4symj3f5ypy
CSITSS Proceedings 2020
2019
2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS)
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Machine Learning Techniques to Detect Fraud in I. ...
[13] in their research work conducted sentimental analysis on twitter data using techniques based on Machine Learning. ...
Product-based Neural Networks In this paper we have focused on the general architecture of ontology-based Information Retrieval used for Kannada. ...
doi:10.1109/csitss47250.2019.9031039
fatcat:yehi3bfgbva7xm74vp3a3i54pu
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