Mapping and Classification of upland soils Formed from Peninsular Gneiss in Rasipuram Block, Namakkal District of Tamil Nadu

2020 ◽  
Vol 11 (3) ◽  
pp. 232-239
Author(s):  
V. Balasubramanian ◽  
◽  
K. P. Ragunath ◽  
R. Srinivasan ◽  
E. Manikandan ◽  
...  
Keyword(s):  
Tamil Nadu ◽  
Peninsular Gneiss ◽  
Upland Soils

scholarly journals Pollen morphology of the genus Impatiens L. (Balsaminaceae) and its systematic implications

2021 ◽  
Vol 64 (2) ◽  
pp. 207-219
Author(s):  
Muthulakshmipechiammal Pechimuthu ◽  
Rajendran Arumugam ◽  
Samydurai Ponnusamy
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Tamil Nadu ◽  
Pollen Morphology ◽  
Polar View ◽  
Structural Diversity ◽  
Species Differentiation ◽  
Prolate Spheroidal ◽  
Scanning Electron

Pollen morphology of 18 species from the genus Impatiens collected from different localities in Nilgiris, Tamil Nadu was evaluated using scanning electron microscopy (SEM) during the period of February 2017 to November 2019. From the observation of pollen it was found to be structurally monad; prolate, sub-prolate and prolate-spheroidal in equatorial view; and circular, rectangular, triangular, quinquangular, elliptic and quadrangular in polar view. The apertures varied from dicolpate, tricolpate to tetracolpate. The main ornamentation type was reticulate in most of the species except Impatiens fruticosa which showed echinate ornamentation. The variations in pollen structure within the species were useful for the identification and classification of the genus Impatiens. The high structural diversity renders important taxonomic value for species differentiation.

scholarly journals Characterization and classification of soils of Valapadi block of Salem district of Tamil Nadu

2020 ◽  
Vol 8 (4) ◽  
pp. 3040-3046
Author(s):  
Balasubramanian V ◽  
S Manoharan ◽  
KP . ◽  
Ragunath . ◽  
R Kumaraperumal ◽  
...  
Keyword(s):  
Tamil Nadu ◽  
Salem District

scholarly journals Characterization and classification of soils in upland soils of Tatrakallu village of Anantapuramu district in Andhra Pradesh

2020 ◽  
Vol 8 (2) ◽  
pp. 1491-1498
Author(s):  
G Sashikala ◽  
MVS Naidu ◽  
KV Ramana ◽  
KV Nagamadhuri ◽  
A Pratap Kumar Reddy ◽  
...  
Keyword(s):  
Andhra Pradesh ◽  
Upland Soils

scholarly journals Mapping and classification of crops using high resolution satellite image

2018 ◽  
Vol 10 (3) ◽  
pp. 818-825
Author(s):  
R Jagadeeswaran ◽  
A Poornima ◽  
R Kumaraperumal
Keyword(s):  
Land Cover ◽  
Tamil Nadu ◽  
Satellite Image ◽  
Unsupervised Classification ◽  
Land Use Land Cover ◽  
Multiple Cropping ◽  
Error Matrix ◽  
Hybrid Classification ◽  
Crop Area

In the present study an attempt was made to perform land use land cover classification at Level-III in order to discriminate and map individual crops. IRS Resources at 2 LISS IV sensor imagery (5.0 m spatial resolution) of September 2014 was utilized for the study. A hybrid classification approach of unsupervised classification followed by supervised classification was adopted to identify and map the crop area in Kodumudi block, Erode district of Tamil Nadu. Signature evaluation was carried out to study the class separability and through cross tabulation and the accuracy was assessed by error matrix. The signature separability analysis to classify various land cover classes indicated that the class viz., waterbody, settlement, sandy area and fallow land were better and for vegetation sub-classes viz., individual crops were poor, which means classification of individual crops was a challenge. The overall accuracy with three different algorithms varied from 56 to 65 per cent and this low accuracy was due to the problem in discriminating the tonal variation and spectral pattern of individual crops in the study area. Thus, classification of vegetation categories into individual crops using LISS IV data resulted in moderate classification accuracy in areas with multiple cropping.

scholarly journals Characterization and classification of major coconut growing soils in South Eastern Ghats of Tamil Nadu, India

2021 ◽  
pp. 94-103
Author(s):  
R. Srinivasan ◽  
K. S. Anil Kumar ◽  
M. Chandrakala ◽  
K. V. Niranjana ◽  
N. Maddileti ◽  
...  
Keyword(s):  
Tamil Nadu ◽  
Clay Content ◽  
Granite Gneiss ◽  
Soil Survey ◽  
Eastern Ghats ◽  
Tamil Nadu State ◽  
Different Depths ◽  
High Base

Six soil series representing major coconut growing soils of the Eastern Ghats in Krishnagiri district of Tamil Nadu State, India, were evolved from granite gneiss and alluvium parent materials. Characterization of different soil properties was done using a detailed soil survey at 1:10000 scale. The soils were neutral to moderately alkaline in reaction (7.31 to 9.19), non-saline, poor to moderately well-drained and moderately shallow (<75 cm) to very deep (>150 cm) in depth. The soils were sandy to clay in texture, sub-angular blocky to crumb in structure, dark reddish-brown to brown, very low to high in OC content (0.06 to 2.70%), low to medium in AWC (3.44 to 22.39%), low to high in CEC (4.70 to 54.0 cmol (p+) kg-1) and having high base saturation (77 to 100%). The soils also had sizable amounts of exchangeable sodium (4.29 to 33.46%), which was maximum in P5, P6 and P1, and high clay content in P5 and P2. The distribution of CaCO3 in different depths was found to be maximum in P4 and P1. The soil orders identified in the coconut area were Inceptisols, Entisols, Alfisols and Vertisols. Assessment of soil resources and identification of yield-limiting soils factors on coconut could be by way of better management and improved productivity.

scholarly journals FLORISTIC STUDY ON ANGIOSPERMS SURROUNDING THE MEDAVAKKAM LAKE, CHENGALPATTU DISTRICT, TAMIL NADU, INDIA

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amzad Basha Kolar ◽  
Palanivel. S, ◽  
M. Sheik Noor Mohamed ◽  
S. Sheik Mohamed ◽  
M. Shareef Khan ◽  
...  
Keyword(s):  
Native Species ◽  
Tamil Nadu ◽  
Diversity Index ◽  
Species Abundance ◽  
Wiener Index ◽  
Diversity Indices ◽  
Economic Importance ◽  
The Family ◽  
Species Diversity Indices

Biodiversity plays a significant role in maintaining the ecosystem for their sustainable utilization. A preliminary survey was conducted to document the diversity and economic importance of the angiosperms around the Medavakkam Lake, Chengalpattu district, Tamil Nadu. The study area act as a seed bank for native species and provide suitable conditions to endemic and certain endangered species. Diversity indices of the study area was found significant, in which the species abundance, richness and evenness were found. A total of 71 species belonging to 36 families of angiosperms were documented. Among which the Dicotyledons plants were 87.32% and monocotyledon plants were 12.67% of total flora reported. The study area was dominated by the family fabaceae (14.1%) with ten species. Habit wise classification of plants reveal that trees are predominant with 32%, followed by hers (25%), Shrubs (21%), Climbers (13%), undershrubs (6%) and grasses (3%). The Simpson Diversity Index, Shannon Wiener Index and evenness index of the study area is 0.777, 1.5634 and 0.8725 respectively. These plants was found with enormous benefits to the mankind such as medicinal, edible, timber, ornamental, oil and other sources. This investigation divulges that the Medavakkam Lake has substantial angiosperm diversity served as major source for native plants having greater economic importance.

Characterization and classification of soils of Veerapandi block of Salem district of Tamil Nadu-South India

2019 ◽  
Vol 106 (7-9) ◽  
Author(s):  
V. Balasubramanian ◽  
G.R. Mugilan ◽  
M.R. Backiyavathy ◽  
S. Pazhanivelan ◽  
D. Jawahar
Keyword(s):  
Tamil Nadu ◽  
South India ◽  
Salem District

Classification of agricultural productivity index of Cauvery deltazone using artificial neural network

2016 ◽  
Author(s):  
G. Manimannan ◽  
C. Arulkumar ◽  
R. Lakshmi Priya
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Vector Quantization ◽  
Tamil Nadu ◽  
Productivity Index ◽  
Cash Crops ◽  
Network Method ◽  
Cauvery Delta ◽  
Multivariate Discriminant

In this study a novel trial was made to classify the Agriculture Productivity Index (API) for the major crops of Cauvery Delta Zone (CDZ) using neural network and statistical methods. At present the CDZ includes, Tanjavur, Tiruvarur, Nagapattinam, Tiruchirapalli, Pudukottai and Ariyalur districts. The crops grown in the Cauvery delta zone were categorized into four major groups such as, cereals, pulses, oilseeds and cash crops. The data for the period of 2003 to 2012 were collected from the Department of Economics and Statistics, Chennai, Tamilnadu. Enyedi’s method was adopted to calculate the API and based on the index the regions were classified by neural network method using Learning Vector Quantization (LVQ). The classification was cross validated statistically, using Multivariate Discriminant Analysis (MDA). The classification results achieved 83% in LVQ and 97% MDA respectively in the entire period of study. The results are obtained as Greater Productivity Regions (GPR), Moderate Productivity Regions (MPR) and Lesser Productivity Regions (LPR) and are plotted in Tamil Nadu spatial map with different colours.

scholarly journals Classification of 4448 Diseases in Siddha System of Medicine – A Review

2020 ◽  
pp. 46-54
Author(s):  
Rakulini Raveendran
Keyword(s):  
Sri Lanka ◽  
Traditional Medicine ◽  
Head And Neck ◽  
Human Body ◽  
Tamil Nadu ◽  
South India ◽  
Body Parts ◽  
Anatomical Structures

Introduction: Siddha Medicine is a system of Traditional Medicine originating in ancient Sri Lanka and Tamil Nadu in South India. Traditionally, it is taught the siddhars laid the foundation for this system of Medication. Agastyar is considered the first Siddhar and the guru of all siddhars. Siddha system considers the human body as a collection of tri-humors & seven basic elements. Vatham, Pitham & Kapham are the tri-humors which are the life constituents of the human body. The equilibrium of humors is consider as health & its disturbance or imbalance leads to disease. Aim and Objective: The aim of the study is to identify the 4448 diseases according to the Siddha Literatures. Results and Discussion: 4448 diseases are mentioned in Agasthiyar 2000, Angathipatham, Noi Naadal Noi Muthal Naadal part I and Theriyar vaakadam. Siddhar Aruvai Maruthuvam book stated that Head and neck diseases are 1008. Diseases are classified according to anatomical structures of body parts, tri humors and diseases. Totally, 93 diseases are explained in all five books. In Noi Naadal Noi Muthal Naadal Part II, 51 diseases and its types and In Yugi Vaiththiya Sinthamani, 27 diseases and its types are explained in the books. Totally, 544 and 431 Number of diseases are explained in the text Noi Naadal Noi Muthal Naadal Part II and Yugi Vaiththiya Sinthamani respectively. Conclusion: This study has given quite evidence about 4448 diseases. These collected information are helpful for further studies in types of diseases.

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