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A Review on Land Cover Classification Techniques for Major Fruit Crops in India - Present Scenario and Future Aspects

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Title A Review on Land Cover Classification Techniques for Major Fruit Crops in India - Present Scenario and Future Aspects
Not Available
 
Creator Harish Chandra Verma, Shailendra Rajan
Tasneem Ahmed
 
Subject Image Classification,Supervised,Fruit trees
 
Description Not Available
India is second largest fruit producer in the word. Mango (Mangifera indica L.) and banana (Musa sp.) are
two major fruit crops grown in India. Fruit crops are very important for improving land productivity,
economic condition of farmers by increasing income, generating employment and providing nutritional
security. For better management of crops and bringing more area under fruit crops, the information on
current status of crop production must be known. In brief literature review, it is observed that many
researchers have used the satellite images for crop production by utilizing their surface reflectance or
backscattering coefficient values. Classification of satellite images is the main source of information
retrieval about the crop production and it also forms the basis and is an important step for crop cover
classification, crop identification, acreage estimation, assessment of crop health and/or crop stress, change
detection, yield prediction etc. There are several methods for satellite image classification such as ISODATA, K-Means, Maximum Likelihood, Minimum Distance, Artificial Neural Network (ANN), Support
Vector Machine (SVM), and Decision Tree Classification (DTC), etc. Many researchers have used these
methods for various purposes. The suitability/performance of these methods is also different and depends
on the context of use, quality of imagery and ground truth data. In this paper, comparative suitability of
unsupervised classifiers (ISODATA and K-Means), supervised classifiers (Parellepiped, Mahalanobis
Distance, Maximum Likelihood and ANN) and Decision Tree Classification (DTC) for crop classification
are reviewed.
Not Available
 
Date 2021-08-13T06:39:02Z
2021-08-13T06:39:02Z
2019-01
 
Type Proceedings
 
Identifier 2. Verma, Harish Chandra and Rajan, Shailendra and Ahmed, Tasneem(2019) A Review on Land Cover Classification Techniques for Major Fruit Crops in India - Present Scenario and Future Aspects. ELSVIER Digital Library. Available at SRN: https://ssrn.com/abstract=3356502
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/56243
 
Language English
 
Relation Not Available;
 
Publisher Elsevier