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International Journal of Innovative Technology & Creative Engineering Vol.11 No.10 October 2021
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Dear Researcher, Greetings! Articles in this issue discusses about HYBRID METHOD FOR CROP SELECTION USING ED AND SVM. We look forward many more new technologies in the next month. Thanks, Editorial Team IJITCE
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Editorial Members Dr. Chee Kyun Ng Ph.D Department of Computer and Communication Systems, Faculty of Engineering,Universiti Putra Malaysia,UPMSerdang, 43400 Selangor,Malaysia. Dr. Simon SEE Ph.D Chief Technologist and Technical Director at Oracle Corporation, Associate Professor (Adjunct) at Nanyang Technological University Professor (Adjunct) at ShangaiJiaotong University, 27 West Coast Rise #08-12,Singapore 127470 Dr. sc.agr. Horst Juergen SCHWARTZ Ph.D, Humboldt-University of Berlin,Faculty of Agriculture and Horticulture,Asternplatz 2a, D-12203 Berlin,Germany Dr. Marco L. BianchiniPh.D Italian National Research Council; IBAF-CNR,Via Salaria km 29.300, 00015 MonterotondoScalo (RM),Italy Dr. NijadKabbara Ph.D Marine Research Centre / Remote Sensing Centre/ National Council for Scientific Research, P. O. Box: 189 Jounieh,Lebanon Dr. Aaron Solomon Ph.D Department of Computer Science, National Chi Nan University,No. 303, University Road,Puli Town, Nantou County 54561,Taiwan Dr. Arthanariee. A. M M.Sc.,M.Phil.,M.S.,Ph.D Director - Bharathidasan School of Computer Applications, Ellispettai, Erode, Tamil Nadu,India Dr. Takaharu KAMEOKA, Ph.D Professor, Laboratory of Food, Environmental & Cultural Informatics Division of Sustainable Resource Sciences, Graduate School of Bioresources,Mie University, 1577 Kurimamachiya-cho, Tsu, Mie, 514-8507, Japan Dr. M. Sivakumar M.C.A.,ITIL.,PRINCE2.,ISTQB.,OCP.,ICP. Ph.D. Technology Architect, Healthcare and Insurance Industry, Chicago, USA Dr. Bulent AcmaPh.D Anadolu University, Department of Economics,Unit of Southeastern Anatolia Project(GAP),26470 Eskisehir,TURKEY Dr. Selvanathan Arumugam Ph.D Research Scientist, Department of Chemistry, University of Georgia, GA-30602,USA. Dr. S.Prasath Ph.D Assistant Professor, Department of Computer Science, Nandha Arts & Science College, Erode , Tamil Nadu, India Dr. P.Periyasamy, M.C.A.,M.Phil.,Ph.D. Associate Professor, Department of Computer Science and Applications, SRM Trichy Arts and Science College, SRM Nagar, Trichy - Chennai Highway, Near Samayapuram, Trichy - 621 105, Mr. V N Prem Anand Secretary, Cyber Society of India
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Review Board Members Dr. Rajaram Venkataraman Chief Executive Officer, Vel Tech TBI || Convener, FICCI TN State Technology Panel || Founder, Navya Insights || President, SPIN Chennai Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials,CSIRO Process Science & Engineering Private Bag 33, Clayton South MDC 3169,Gate 5 Normanby Rd., Clayton Vic. 3168, Australia Dr. Zhiming Yang MD., Ph. D. Department of Radiation Oncology and Molecular Radiation Science,1550 Orleans Street Rm 441, Baltimore MD, 21231,USA Dr. Jifeng Wang Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign Urbana, Illinois, 61801, USA Dr. Giuseppe Baldacchini ENEA - Frascati Research Center, Via Enrico Fermi 45 - P.O. Box 65,00044 Frascati, Roma, ITALY. Dr. MutamedTurkiNayefKhatib Assistant Professor of Telecommunication Engineering,Head of Telecommunication Engineering Department,Palestine Technical University (Kadoorie), TulKarm, PALESTINE. Dr.P.UmaMaheswari Prof &Head,Depaartment of CSE/IT, INFO Institute of Engineering,Coimbatore. Dr. T. Christopher, Ph.D., Assistant Professor &Head,Department of Computer Science,Government Arts College(Autonomous),Udumalpet, India. Dr. T. DEVI Ph.D. Engg. (Warwick, UK), Head,Department of Computer Applications,Bharathiar University,Coimbatore-641 046, India. Dr. Renato J. orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Visiting Scholar at INSEAD,INSEAD Social Innovation Centre,Boulevard de Constance,77305 Fontainebleau - France Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688 Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business SchoolRuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 JavadRobati Crop Production Departement,University of Maragheh,Golshahr,Maragheh,Iran VineshSukumar (PhD, MBA) Product Engineering Segment Manager, Imaging Products, Aptina Imaging Inc. Dr. Binod Kumar PhD(CS), M.Phil.(CS), MIAENG,MIEEE Professor, JSPM's Rajarshi Shahu College of Engineering, MCA Dept., Pune, India. Dr. S. B. Warkad Associate Professor, Department of Electrical Engineering, Priyadarshini College of Engineering, Nagpur, India Dr. doc. Ing. RostislavChoteborský, Ph.D. Katedramateriálu a strojírenskétechnologieTechnickáfakulta,Ceskázemedelskáuniverzita v Praze,Kamýcká 129, Praha 6, 165 21
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Naik Nitin AshokraoB.sc,M.Sc Lecturer in YeshwantMahavidyalayaNanded University Dr.A.Kathirvell, B.E, M.E, Ph.D,MISTE, MIACSIT, MENGG Professor - Department of Computer Science and Engineering,Tagore Engineering College, Chennai Dr. H. S. Fadewar B.sc,M.sc,M.Phil.,ph.d,PGDBM,B.Ed. Associate Professor - Sinhgad Institute of Management & Computer Application, Mumbai-BangloreWesternly Express Way Narhe, Pune - 41 Dr. David Batten Leader, Algal Pre-Feasibility Study,Transport Technologies and Sustainable Fuels,CSIRO Energy Transformed Flagship Private Bag 1,Aspendale, Vic. 3195,AUSTRALIA Dr R C Panda (MTech& PhD(IITM);Ex-Faculty (Curtin Univ Tech, Perth, Australia))Scientist CLRI (CSIR), Adyar, Chennai - 600 020,India Miss Jing He PH.D. Candidate of Georgia State University,1450 Willow Lake Dr. NE,Atlanta, GA, 30329 Jeremiah Neubert Assistant Professor,MechanicalEngineering,University of North Dakota Hui Shen Mechanical Engineering Dept,Ohio Northern Univ. Dr. Xiangfa Wu, Ph.D. Assistant Professor / Mechanical Engineering,NORTH DAKOTA STATE UNIVERSITY SeraphinChallyAbou Professor,Mechanical& Industrial Engineering Depart,MEHS Program, 235 Voss-Kovach Hall,1305 OrdeanCourt,Duluth, Minnesota 55812-3042 Dr. Qiang Cheng, Ph.D. Assistant Professor,Computer Science Department Southern Illinois University CarbondaleFaner Hall, Room 2140-Mail Code 45111000 Faner Drive, Carbondale, IL 62901 Dr. Carlos Barrios, PhD Assistant Professor of Architecture,School of Architecture and Planning,The Catholic University of America
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688
Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar)01332-000, São Paulo (SP), Brazil Dr. Wael M. G. Ibrahim Department Head-Electronics Engineering Technology Dept.School of Engineering Technology ECPI College of Technology 5501 Greenwich Road - Suite 100,Virginia Beach, VA 23462 Dr. Messaoud Jake Bahoura Associate Professor-Engineering Department and Center for Materials Research Norfolk State University,700 Park avenue,Norfolk, VA 23504 Dr. V. P. Eswaramurthy M.C.A., M.Phil., Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. P. Kamakkannan,M.C.A., Ph.D ., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. V. Karthikeyani Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 008, India. Dr. K. Thangadurai Ph.D., Assistant Professor, Department of Computer Science, Government Arts College ( Autonomous ), Karur - 639 005,India. Dr. N. Maheswari Ph.D., Assistant Professor, Department of MCA, Faculty of Engineering and Technology, SRM University, Kattangulathur, Kanchipiram Dt - 603 203, India. Mr. Md. Musfique Anwar B.Sc(Engg.) Lecturer, Computer Science & Engineering Department, Jahangirnagar University, Savar, Dhaka, Bangladesh. Mrs. Smitha Ramachandran M.Sc(CS)., SAP Analyst, Akzonobel, Slough, United Kingdom. Dr. V. Vallimayil Ph.D., Director, Department of MCA, Vivekanandha Business School For Women, Elayampalayam, Tiruchengode - 637 205, India. Mr. M. Moorthi M.C.A., M.Phil., Assistant Professor, Department of computer Applications, Kongu Arts and Science College, India PremaSelvarajBsc,M.C.A,M.Phil Assistant Professor,Department of Computer Science,KSR College of Arts and Science, Tiruchengode Mr. G. Rajendran M.C.A., M.Phil., N.E.T., PGDBM., PGDBF., Assistant Professor, Department of Computer Science, Government Arts College, Salem, India. Dr. Pradeep H Pendse B.E.,M.M.S.,Ph.d Dean - IT,Welingkar Institute of Management Development and Research, Mumbai, India Muhammad Javed Centre for Next Generation Localisation, School of Computing, Dublin City University, Dublin 9, Ireland Dr. G. GOBI Assistant Professor-Department of Physics,Government Arts College,Salem - 636 007 Dr.S.Senthilkumar Post Doctoral Research Fellow, (Mathematics and Computer Science & Applications),UniversitiSainsMalaysia,School of Mathematical Sciences, Pulau Pinang-11800,[PENANG],MALAYSIA. Manoj Sharma Associate Professor Deptt. of ECE, PrannathParnami Institute of Management & Technology, Hissar, Haryana, India RAMKUMAR JAGANATHAN Asst-Professor,Dept of Computer Science, V.L.B Janakiammal college of Arts & Science, Coimbatore,Tamilnadu, India Dr. S. B. Warkad Assoc. Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra State, India Dr. Saurabh Pal Associate Professor, UNS Institute of Engg. & Tech., VBS Purvanchal University, Jaunpur, India
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 Manimala Assistant Professor, Department of Applied Electronics and Instrumentation, St Joseph’s College of Engineering & Technology, Choondacherry Post, Kottayam Dt. Kerala -686579 Dr. Qazi S. M. Zia-ul-Haque Control Engineer Synchrotron-light for Experimental Sciences and Applications in the Middle East (SESAME),P. O. Box 7, Allan 19252, Jordan Dr. A. Subramani, M.C.A.,M.Phil.,Ph.D. Professor,Department of Computer Applications, K.S.R. College of Engineering, Tiruchengode - 637215 Dr. SeraphinChallyAbou Professor, Mechanical & Industrial Engineering Depart. MEHS Program, 235 Voss-Kovach Hall, 1305 Ordean Court Duluth, Minnesota 558123042 Dr. K. Kousalya Professor, Department of CSE,Kongu Engineering College,Perundurai-638 052 Dr. (Mrs.) R. Uma Rani Asso.Prof., Department of Computer Science, Sri Sarada College For Women, Salem-16, Tamil Nadu, India. MOHAMMAD YAZDANI-ASRAMI Electrical and Computer Engineering Department, Babol"Noshirvani" University of Technology, Iran. Dr. Kulasekharan, N, Ph.D Technical Lead - CFD,GE Appliances and Lighting, GE India,John F Welch Technology Center,Plot # 122, EPIP, Phase 2,Whitefield Road,Bangalore – 560066, India. Dr. Manjeet Bansal Dean (Post Graduate),Department of Civil Engineering,Punjab Technical University,GianiZail Singh Campus,Bathinda -151001 (Punjab),INDIA Dr. Oliver Jukić Vice Dean for education,Virovitica College,MatijeGupca 78,33000 Virovitica, Croatia Dr. Lori A. Wolff, Ph.D., J.D. Professor of Leadership and Counselor Education,The University of Mississippi,Department of Leadership and Counselor Education, 139 Guyton University, MS 38677
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021
Contents HYBRID METHOD FOR CROP SELECTION USING ED AND SVM……………………………...….…. [ 1038 ]
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021
HYBRID METHOD FOR CROP SELECTION USING ED AND SVM S.Mohanambal#1, and Dr.A.Pethalakshmi*2 # Research
Scholar, Mother Teresa Women’s University,Kodaikanal–624 101, Tamil Nadu, India. 1
*Principal,
mohanabalapranav@gmail.com
Govt.Arts College(W),salem-8, Tamil Nadu, India. 2
pethalakshmi@yahoo.com
ABSTRACT
Keywords:
Research on based decision making has received much attention in recent years. When the
making,
crop
cultivation
EDSVM,
feature
be conduct at different country. In this paper proposed the Entropy decomposition and support vector machine. It can be represented as the EDSVM techniques. This technique is help to the Synthetic Aperture radar that can be used to classification of the images with the purpose of
maximum
I. INTRODUCTION
adequate prior knowledge that can be need for the ground truth measurement of the fields that can
extraction,
decision
likelihood technique, radarsat-1.
area based upon the various schedule, hence they purpose of supervise the classification and the
technique,
In many country where variety of crops can be consider as the staple food for the people the monitoring the growth of the plant. The wheat crop is mostly cultivated in the good typical climates. The synthetic aperture radar based remote sense that can be providing the unique and the better capability. Hence the microwave can be penetrated through the clouds as well as weather capability.
wheat monitoring. They can assess the purpose of the multi temporal data and helps to supervise SUPPORT VECTOR MACHINE
the classification of the wheat planning. When the theoretical output of the radiative transfer based on the ground truth depending parameter are the purpose to determine the training set of the various kinds of wheat planting schemes in the feature space of the entropy decomposition. Then the support vector machine is attain for the space based on feature for the classifying the images. In this algorithm is to demonstrate by the use of multi temporal radarsat-1 data. They compare the result from the information based on the training
The support vector machine is consider as the another common as well as simple technique that can be every machine learning that can be expert shall have in his or her arsenal. When the support vector is to be a highly prefer for the many they also provide the
significant
accuracy.
They
have
less
computational power. The separator among the category is to be determined then the data can be transfer in some way. It should be separator can be drawn as a hyper plane.
set from the image by using EDSVM, maximum likely hood technique.
1038
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 based synthetic aperture radar when the available for the multispectral based on the remote based on the sensing data can be used for the reduction from the temporal gaps that can be provide the spectral and polarimetric based information based on the crops, when the crop classification of areas for the frequent based on the cloud based on the interferences[5]. (Ananthi 2020)proposed the main objective is consider as the segment nutrient of the deficiency in the crop base images for the purpose of the fuzzy sets based theory[1]. When the fuzziness can be
Fig. 1. Flow chart SVM algorithm
exists in the images for the quantized level of the brightness can be considered in the each of the pixels.
1.1 SYNTHETIC APERTURE RADAR The synthetic aperture radar is the form of radar that can be used for the purpose to provide the two dimensional
based
images
as
well
as
three
dimensional reconstructions of the objects such as
When the segmented images can be evaluated by the help of precision recall, measure for the structural similarity index, as well as ROC curves. (Cui, Zhang et al. 2020) when the feature of
be
the subset based on the selection method on the class
accomplished by synthetic aperture radar in the field
aggregation among the class can be scatter (WA-BS)
of farming are to evaluate the horticultural harvest
that can be proposed for they extract the optimal
rundown and creation, land spread and use, and soil
feature for the subset. The crop based on the types
dampness, the wellspring of dry season, floods, or
that can be monitor for produce from the algorithm
more all, crop development. When the qualities of
based on the support vector machine classifier. That
SAR and its parameters related with horticultural
can be good when compare to the classification of the
applications is given, and the systems for assessing
crop based result that can be determined from the
development and arranging crops are then portrayed.
synthetic aperture radar based on the image
landscapes.
The
fundamental
goals
to
segmentation.
II. RELATED WORKS This section focuses many different fields with great success in agriculture are summarized here.
(Arii, Van Zyl et al. 2010) in this paper they extend the methods depend on the decomposition of the concept for they creating the adaptive model
(Guo, Li et al. 2020) The classification of crop
depend for the decomposition based technique. When
in the agriculture has been considering as the one of
there is no scattering based on the reflection of the
the important purpose for the polarimetric based on
symmetry for the assumption of the required for the
the synthetic aperture radar [4]. The polarimetric
determination of the volume contribution[2].
synthetic aperture radar aperture radar (PolSAR) data.
(Sher, Khan et al. 2018) The primary targets of the present investigation were (I to describe the
(Liao, Wang et al. 2020) proposed the
impacts of expanded plant thickness on shelter
synergistic purpose of the multi temporal polarimetric
morphology and stalk lodging and to investigate the
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 connections between organ morphology and stalk lodging[8].
famous for the purpose for they demonstrate that the
(Chauhan,
Darvishzadeh
et
al. 2019)
Hypothetical foundation on crop dwelling was introduced, and the extent of RS in surveying plant attributes related with housing is evaluated and talked about.
The proposed entropy decomposition can be
The
audit
centers
around
RS-based
investigations, gathering them as per the stage conveyed[3].
fundamental ability of the polar metric of the distinguish the feature in an input. However they remain the curiosity based on the extend for the fundamental based classification philosophy for the purpose for the multi temporal inputs. 3.3 SUPPORT VECTOR MACHINE The proposed support vector machine based
III. METHODOLOGY
algorithm is contribute the machine learning method
The proposed algorithm of cultivation based on the crops by using EDSVM for the optimization. The Questionnaires can be prepare that can be focus
depend on the statistical based theory. They also determined the ideal separating hyperplane in the higher dimensional feature based space.
on the general characteristics of the cultivation based
When the given training sample based on the
on the crop. The data can be obtaining for the purpose
two various kinds of the classes. Then we determined
that can be further they analysis the data as well as
the optimal separating based hyperplane that can be
the process in the research. The questionnaire based
assume for the two classes then they distinguished as
on the model of the various types of cultivation occurs
the linear based separable and they also denote the
in the crop that can be included in the following
input space X to the input based vector, _x as well as
characteristics
the training set 𝑇𝑡 ={(𝑥1 , 𝑦1 )………… (𝑥𝑁 , 𝑦𝑁 )}
that
can
be
tabulated.
The
questionnaire for the purpose for the select the information from the various framers can be suggested.
Where 𝑥𝑖 ∈ 𝑋 and 𝑦𝑖 ∈ 𝑋 Y= {1, -1} in practice it can be often
3.1 K MEANS ALGORITHM
In the case when the data not be separate linearly in
Partition algorithms build partition of a record of N things into a deposit of k clusters. The
the mean of a hyperplane. 3.4 PROPOSED WORK (EDSVM)
necessary algorithm is given below The proposed technique based on the
1.Selection k point as original centroid. 2.Again
classification of the inputs that can be based on the
3.For k clusters by transmission every part of
questionnaire based result from the theoretical
point to the next centroid.
method for the purpose of the hybrid entropy
4.Recomputed the centroid of both cluster
decomposition and support vector machine can be
5.In anticipation of the centroid don’t change.
presented. The flows of the present work are shown in the figure 2. The measurement of the ground truth can be conducted in the wheat filed for the various
3.2 ENTROPY DECOMPOSITION TECHNIQUE
kind of planting that can be schedule on the obtained at the physical parameter for the wheat crops. This
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 technique can be produce the multi temporal alpha,
characteristic that can be apply in the K mean
αT and the entropy, HT.
clustering.Cluster 1 = C1, C2, C3, C4.
The information can be
treated on the training the feature based vector.
Minimu
Flexible
High
Features/crop
m
Marketin
Yield
s
Capital
g
s
(f1)
(f2)
(f3)
Wheat(C1)
7
8
9
Rice(C2)
5
6
7
Maize(C3)
8
7
7
Millets(C4)
6
7
8
Pulses(C5)
8
8
8
Cotton(C6)
8
5
7
Sugarcane(C7)
8
7
8
Coconut(C8)
3
8
9
Table 2. Selected crop feature based information Fig. 2. flow of the proposed EDSVM technique Similarly they testing the feature vector for they represent the entire study that can be obtained
The group of crops can be selected with the help of entire feature that can be attains in the K-mean algorithm. These are shown in the table 3.
from the, αT and the entropy, HT. When we compare the classifier
Minim
for the popularity as well as the
robustness of the algorithm. The maximum likelihood
Features/cr
um
classifier can be calculate the probability of the pixel
ops
Capital
that can be belong to the class occur in the digital
the
performance
belongs
to
the
classification. IV. RESULT AND DISCUSSION
that can be cultivated for the farmer. The input of the tabulation can be providing from the farmers that can
Value
9
C1
C2 (Rice)
5
6
7
C2
C3 (Maize)
8
7
7
C3
C4 (Millets)
6
7
8
C1
C5 (Pulses)
8
8
8
C1
C6 (Cotton)
8
5
7
C3
8
7
8
C1
3
8
9
C2
(Sugarcane)
In this analysis based on the variety of crops
on
8
C7 4.1 K-MEAN CLUSTER
ds
Decisi
7
(WHEAT)
of
ng
Yiel
(f3)
C1
purpose
Marketi
High
(f2)
class then the high probability. The maximum at the visualizing image based software for the
e
(f1)
based form. Then the pixels can be assigning for the likelihood classifier at the function of the environment
Flexibl
C8 (Coconut)
Table 3. Decision table
be shown in the table 2. Then they choose group of various crops that can be depending on the entire
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 4.2 RANK CORRELATION METHOD
C1
Apply rank correlation method for optimized the feature based selection. These are shown in the table 4.
(Wheat) C2 (Rice) C3
6 ∑(𝑅𝑓1 − 𝑅𝑓2)2 𝑅𝑎𝑛𝑘 𝐶𝑜𝑟𝑟𝑒𝑙𝑎𝑡𝑖𝑜𝑛 (𝑅𝑠) = 1 − 𝑛(𝑛2 − 1)
(Maize) C4 (Millets)
7
8
9
8
7.5
5
6
7
6
5.5
8
7
7
7.3
7.5
6
7
8
7
6.5
8
8
8
8
8
8
5
7
6.6
6.5
8
7
8
7.6
7.5
3
8
9
6.6
5.5
Mini
Flexi
mum
ble
Capit
Mark
al
eting
(f1)
(f2)
Wheat
7
8
2
1
1
1
(Sugarc
Rice
5
6
4
3
1
1
ane)
Maize
8
7
1
2
-1
1
C8
Millets
6
7
3
2
1
1
(Coconu
Pulses
8
8
1
1
0
0
t)
Cotton
8
5
1
4
-3
9
8
7
1
2
-1
1
3
8
5
1
4
16
maximum likely hood methods in the crop database is
30
shown in the following figure 3,4 and 5.
Features /crops
Sugarca ne Coconut
Ra
Ra
R(f
(R(f
nk
nk
1)-
1)-
(f1
(f2
R(f
R(f
)
)
2)
2))2
C5 (Pulses) C6 (Cotton) C7
Total ∑(𝑅(𝑓1) − 𝑅(𝑓2)) 2
Table 5. Arithmetic Mean method 4.4 PERFOMANCE ANALYSIS The Performance analysis of EDSVM and
4.4.1 ACCURACY
Table 4. Rank Correlation Method
In the proposed technique (EDSVM) occurs 4.3 ARITHMETIC MEAN METHOD
the maximum accuracy when compared to the
Apply AFMM as well RFMM in the particular selected
maximum likelihood method. The accuracy of both
crops that can be shown in the table 5.
methods is shown below figure 3. ACCURACY= (TP + TN)/(TP + TN + FP + FN)
𝑇ℎ𝑒 𝑀𝑒𝑎𝑛 𝑉𝑎𝑙𝑢𝑒 𝑜𝑓 𝑒𝑎𝑐ℎ 𝐶𝑟𝑜𝑝 = ∑ 𝑥𝑖 ⁄𝑛 𝐴𝐹𝑀𝑀 = 𝑓1 + 𝑓2 + 𝑓3 ⁄𝑛 𝑅𝐹𝑀𝑀 = 𝑓1 + 𝑓2 ⁄𝑛, 𝑤ℎ𝑒𝑟𝑒 𝑛 = 𝑁𝑜 𝑂𝑓 𝐹𝑒𝑎𝑡𝑢𝑟𝑒𝑠
Feature s/crops
Mini
Flexi
Hig
mum
ble
h
Capi
Mark
Yie
tal
eting
lds
(f1)
(f2)
(f3)
AFMM (F1+F2 +F3/N)
RFM M (F1+ F2/N)
Fig. 3. Accuracy 4.4.2 EFFICIENCY In the proposed technique(circular economic model) have better efficiency when compare to the
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 linear economic model is an existing technique. The
in extend the purpose of the entropy decomposition
effectiveness of both methods is shown below figure
for they cover the multi temporal based data. When
4.
comparing the result of the existing technique, the 𝐸𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑐𝑦 =
proposed method has better sensitivity, accuracy, and
𝑇𝑜𝑡𝑎𝑙 𝑚𝑖𝑛𝑢𝑡𝑒𝑠 𝑝𝑟𝑜𝑑𝑢𝑐𝑒 ∗ 100 𝑡𝑖𝑚𝑒 ∗ 60
efficiency. REFERENCES [1] Ananthi, V. Fused Segmentation Algorithm for the Detection of Nutrient Deficiency in Crops Using SAR Images. Artificial Intelligence Techniques for Satellite Image Analysis, Springer: 137-159.2020. [2] Arii, M., J. J. Van Zyl and Y. Kim,"Adaptive modelbased decomposition of polarimetric SAR covariance matrices." IEEE Transactions on Geoscience and
Fig. 4. Efficiency
Remote Sensing 49(3): 1104-111,2010.
4.4.3 SENSITIVITY
[3] Chauhan, S., R. Darvishzadeh, M. Boschetti, M.
In the proposed technique occurs the high sensitivity when compared to the maximum likelihood method. The sensitivity of both methods is shown below figure 5.
Pepe and A. Nelson,"Remote sensing-based crop lodging
assessment:
Current
status
and
perspectives." ISPRS journal of photogrammetry and remote sensing 151: 124-140,2019. [4] Guo, J., H. Li, J. Ning, W. Han, W. Zhang and Z.S. Zhou, "Feature Dimension Reduction Using Stacked
Sparse
Auto-Encoders
for
Crop
Classification with Multi-Temporal, Quad-Pol SAR Data." Remote Sensing 12(2): 321,2020. [5] Liao, C., J. Wang, Q. Xie, A. A. Baz, X. Huang, J. Shang and Y. He,"Synergistic Use of Multi-Temporal RADARSAT-2 Fig. 5. sensitivity
and
VENµS
Data
for
Crop
Classification Based on 1D Convolutional Neural Network." Remote Sensing 12(5): 832,2020.
V. CONCULSION
[6] Ozigis, M. S., J. D. Kaduk, C. H. Jarvis, P. da
In this paper use a multi temporal based
Conceição Bispo and H. Balzter, "Detection of oil
RADARSAT-1 based images that can be helps to
pollution impacts on vegetation using multifrequency
classify the variety of crops based planting schedule.
SAR, multispectral images with fuzzy forest and
From this application, the proposed method EDSVM
random forest methods." Environmental Pollution
focus at the theoretical model that can be attain for the
256: 113360,2020.
performance for a better separation among the
[7] Parikh, H., S. Patel and V. Patel, "Classification of
various types of crops in the planting based schedule.
SAR and PolSAR images using deep learning: a
It is not only better in classification. It also does best
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.10 OCT 2021 review." International Journal of Image and Data Fusion 11(1): 1-32,2020. [8] Sher, A., A. Khan, U. Ashraf, H. H. Liu and J. C. Li, "Characterization of the effect of increased plant density on canopy morphology and stalk lodging risk." Frontiers in plant science 9: 1047,2018. [9] Sun, W., P. Li, B. Du, J. Yang, L. Tian, M. Li and L. Zhao, "Scatter Matrix Based Domain Adaptation for Bi-Temporal Polarimetric SAR Images." Remote Sensing 12(4): 658,2020. [10] Yuzugullu, O., S. Marelli, E. Erten, B. Sudret and I. Hajnsek, "Determining rice growth stage with Xband SAR: A metamodel based inversion." Remote Sensing 9(5): 460,2017.
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