Lina Gogoi

Tezpur University

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i-10 index

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Co-Authors

Rupam Kataki

Tezpur University

Rumi Narzari

ICAR Research Complex for NEH Region

Nirmali Gogoi

Tezpur University

Nilutpal Bhuyan

Tezpur University

Debashis Sut

Tezpur University

Neonjyoti Bordoloi

Assam Down Town University

Ruprekha Saikia

Tezpur University

M. Lokhande

National Bureau of Soil Survey and Land Use Planning

S. Thakre

Raisoni Group of Institutions

N. G. Patil

National Bureau of Soil Survey and Land Use Planning

Cooperative Institutions

National Bureau of Soil Survey and Land Use Planning

Tezpur University

Indian Council of Agricultural Research

Universidade de São Paulo

Indian Agricultural Research Institute

Assam Agricultural University

Biotech (Brazil)

Banaras Hindu University

Indian Institute of Technology Kharagpur

University of Minnesota

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Soil information system: use and potentials in humid and semi-arid tropics

Current Science (2014)

T. Bhattacharyya D. Sarkar S.K. Ray P. Chandran D. K. Pal

The articles presented in this special section emanated from the researches of consortium members of the National Agricultural Innovative Project (NAIP, Component 4) of the Indian Council of Agricultural Research (ICAR), New Delhi. These researches have helped develop a soil information system (SIS). In view of the changing scenario all over the world, the need of the hour is to get assistance from a host of researchers specialized in soils, crops, geology, geography and information technology to make proper use of the datasets. Equipped with the essential knowledge of data storage and retrieval for management recommendations, these experts should be able to address the issues of land degradation, biodiversity, food security, climate change and ultimately arrive at an appropriate agricultural land-use planning. Moreover, as the natural resource information is an essential prerequisite for monitoring and predicting global environmental change with special reference to climate and land use options, the SIS needs to be a dynamic exercise to accommodate temporal datasets, so that subsequently it should result in the evolution of the soil information technology. The database developed through this NAIP would serve as an example of the usefulness of the Consortium and the research initiative of ICAR involving experts from different fields to find out the potentials of the soils of humid and semi-arid bioclimatic systems of the country.

10.18520/cs/v107/i9/1550-1564

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Citations (7)

Aquatic Microbial Oxygenic Phototrophs: A Short Treatise on Diverse Applications and the Future Biofuel Scenario

Springer eBooks (2020)

Mayur Mausoom Phukan Rupesh Kumar Kuldeep Gupta Pritam Bardhan Nilutpal Bhuyan

Photobioreactor

Bioprospecting

10.1007/978-981-15-7493-1_7

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Citations (1)

Biodiversity of a tribal village, Assam with special emphasis on the traditional knowledge of plants

Plants and Environment (2019)

Lina Gogoi Gautam Baruah Darshana Borah Sangita Deka

Traditional Knowledge

Source

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Waste Valorization to Fuel and Chemicals Through Pyrolysis: Technology, Feedstock, Products, and Economic Analysis

Energy, environment, and sustainability (2017)

Rupam Kataki Neon J. Bordoloi Ruprekha Saikia Debashis Sut Rumi Narzari

Value added

10.1007/978-981-10-7431-8_21

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Citations (10)

Land evaluation for major crops in the Indo-Gangetic plains and black soil regions using Fuzzy model.

Current Science (2014)

S. Chatterji P. Tiwary T. K. Sen J. Prasad T. Bhattacharyya

Land evaluation is carried out to assess the suitability of land for a specific use. Land evaluation procedures focus increasingly on the use of quantitative procedures to enhance the qualitative interpretation of land resource surveys. Conventional Boolean retrieval of soil survey data and logical models for assessing land suitability, treat both spatial units and attribute value ranges as exactly specifiable quantities. They ignore the continuous nature of soil and landscape variation and uncertainties in measurement, which may result in the failure to correctly classify sites that just fail to match strictly defined requirements. The objective of this article is to apply fuzzy model to land suitability evaluation for major crops in the 15 benchmark sites of the Indo- Gangetic Plains (IGP) and 17 benchmark sites of the black soil regions (BSR). Minimum datasets of land characteristics considered relevant to rice and wheat in the IGP and cotton and soybean in the BSR were identified to enhance pragmatic value of land evaluation. The use of fuzzy model is intuitive, robust and helpful for land suitability evaluation and classification, especially in applications in which subtle differences in land characteristics are of a major interest, such as development of threshold values of land characteristics.

Benchmark (surveying)

10.18520/cs/v107/i9/1502-1511

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Citations (3)

The seasonality of butterflies in a semi-evergreen forest: Gibbon Wildlife Sanctuary, Assam, northeastern India

DOAJ (DOAJ: Directory of Open Access Journals) (2015)

Arun P. Singh Lina Gogoi Jis Sebastain

Evergreen forest

Seasonality

10.11609/jott.1786.6774-6787

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Citations (0)