Komal Choudhary
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View article: Aiding Medical Diagnosis through Image Synthesis and Classification
Aiding Medical Diagnosis through Image Synthesis and Classification Open
Medical professionals, especially those in training, often depend on visual reference materials to support an accurate diagnosis and develop pattern recognition skills. However, existing resources may lack the diversity and accessibility n…
View article: Soil Sampling: Bridging Farmer’s Knowledge, Perception and Adoption for Sustainable Agriculture in Punjab, India
Soil Sampling: Bridging Farmer’s Knowledge, Perception and Adoption for Sustainable Agriculture in Punjab, India Open
Crop yield, nutrient management, and long-term farm sustainability are all impacted by soil health, which is essential to sustainable agriculture. Nevertheless, many farmers continue to rely on traditional knowledge rather than modern soil…
View article: Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors Open
Symbolic regression is essential for deriving interpretable expressions that elucidate complex phenomena by exposing the underlying mathematical and physical relationships in data. In this paper, we present an advanced symbolic regression …
View article: Effects of Nitrogen and Phosphorus Application at Different Levels on Performance of Pea (Pisum sativum L.) in Agroclimatic Zone-II of Himachal Pradesh, India
Effects of Nitrogen and Phosphorus Application at Different Levels on Performance of Pea (Pisum sativum L.) in Agroclimatic Zone-II of Himachal Pradesh, India Open
During the Rabi season of 2023-24, a field experiment was carried out at Agriculture Farm Chamelti, Shoolini University of Biotechnology and Management Sciences Solan (H.P.). The soil in the experimental field was well-drained, with medium…
View article: Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia
Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia Open
It is a novel approach to linking landscape ecological risk (LER) and ecosystem services (ESs) for environmental management and sustainable development, since it enables real-time decision-making. This study used 12 natural factors relevan…
View article: Remote sensing estimation of cover crop biomass using machine learning algorithms in Denmark
Remote sensing estimation of cover crop biomass using machine learning algorithms in Denmark Open
Knowledge of total aboveground biomass (AGB) at harvest time, from site to national scales, is critical to understanding the potential for C sequestration and residue utilization in agricultural ecosystems. Cover crop biomass estimation mo…
View article: Assessing Genetic Variability in Taramira (Eruca sativa Mill.) Germplasm for Enhanced Breeding Strategies
Assessing Genetic Variability in Taramira (Eruca sativa Mill.) Germplasm for Enhanced Breeding Strategies Open
The present research was carried out to estimate the genetic variability for 13 characters among 30 different germplasm of Taramira (Eruca sativa Mill.) in a randomized block design with three replications over four artificially created en…
View article: Machine learning for yield prediction in Fergana valley, Central Asia
Machine learning for yield prediction in Fergana valley, Central Asia Open
Accurate yield prediction is essential for growers, researchers, governments, the farming industry, and policymakers for social peace, food safety, security, and sustainable development. The results of earlier techniques of data collecting…
View article: Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework
Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework Open
A spatiotemporal ecosystem health (EH) assessment study is necessary for sustainable development and proper management of natural resources. At present higher rate of human-socio-economic activities, industrialization, and misuse of land a…
View article: Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems
Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems Open
Crop growth is one of the most important parameters of a crop and its knowledge before harvest is essential to help farmers, scientists, governments and agribusiness. This paper provides a novel demonstration of the use of freely available…
View article: Ecosystem Health Assessment Based On Pressure State Response Framework Using Remote Sensing and Geographical Information System
Ecosystem Health Assessment Based On Pressure State Response Framework Using Remote Sensing and Geographical Information System Open
Ecosystem health (EH) is an important parameter for an areas sustainable development. This research work used remote sensing and GIS based ecological indicators under pressure-state-response (PSR) framework for ecological health assessment…
View article: Crop growth monitoring through Sentinel and Landsat data based NDVI time-series
Crop growth monitoring through Sentinel and Landsat data based NDVI time-series Open
Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security …
View article: Vegetation Dynamics with Elevation in Southern European Russia
Vegetation Dynamics with Elevation in Southern European Russia Open
In this research work vegetation dynamics was examined for spring-summer (may–august) season based on Moderate Resolution Imaging Spectroadiometer (MODIS) satellite data generated Normalized Difference Vegetation Index (NDVI) with elevatio…
View article: AN ANALYSIS OF NATIONAL-STATE-DISTRICT LEVEL ACREAGE AND PRODUCTION ESTIMATES OF RABI SORGHUM UNDER FASAL PROJECT
AN ANALYSIS OF NATIONAL-STATE-DISTRICT LEVEL ACREAGE AND PRODUCTION ESTIMATES OF RABI SORGHUM UNDER FASAL PROJECT Open
Sorghum (Sorghum vulgare Pers.) popularly known as jowar is the most important food and fodder crop of dry land agriculture. It is generally grown in both Kharif and Rabi season, with sown area of 25.3 and 38.3 lakh ha, respectively, at Na…
View article: JUTE CROP PRODUCTION ESTIMATION IN MAJOR STATES OF INDIA: A COMPARATIVE STUDY OF LAST 6 YEARS’ FASAL AND DES ESTIMATES
JUTE CROP PRODUCTION ESTIMATION IN MAJOR STATES OF INDIA: A COMPARATIVE STUDY OF LAST 6 YEARS’ FASAL AND DES ESTIMATES Open
In the last few years, remote sensing technique has emerged as a viable technology for crop acreage estimation. Under the FASAL project, the jute acreage estimation was carried out in the last 6 years by using both microwave SAR data (2012…
View article: RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT
RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT Open
Rice is the most important food crop of India. Majority of Rice is sown in kharif season in the country. This is monsoon season for the country where cloud cover poses a major problem for optical remote sensing. Therefore, for these states…
View article: EVALUATION OF PRE-HARVEST PRODUCTION FORECASTING OF MUSTARD CROP IN MAJOR PRODUCING STATES OF INDIA, UNDER FASAL PROJECT
EVALUATION OF PRE-HARVEST PRODUCTION FORECASTING OF MUSTARD CROP IN MAJOR PRODUCING STATES OF INDIA, UNDER FASAL PROJECT Open
Rapeseed-mustard (Brassica spp.) is the major rabi oilseed crop of India. India is fourth largest contributor of oilseeds and Rapeseed-mustard contributing to around 11% of world’s total production and about 28.6% in total oilseeds product…
View article: ANALYSIS OF SUGARCANE ACREAGE AND YIELD ESTIMATES DERIVED FROM REMOTE SENSING DATA AND OTHER HYBRID APPROACHES UNDER FASAL PROJECT
ANALYSIS OF SUGARCANE ACREAGE AND YIELD ESTIMATES DERIVED FROM REMOTE SENSING DATA AND OTHER HYBRID APPROACHES UNDER FASAL PROJECT Open
Sugarcane (Saccharum spp.) is a most important cash crop of India. India has the largest area under sugarcane cultivation in the world and is the world’s second largest producer of sugarcane next to Brazil. Uttar Pradesh stands as the lead…
View article: A remote sensing and GIS based approach for land use/cover, inundation and vulnerability analysis in Moscow, Russia
A remote sensing and GIS based approach for land use/cover, inundation and vulnerability analysis in Moscow, Russia Open
Monitoring of land use/cover (LULC) change is very important for sustainable development planning study. This research work is to understand natural and environmental situation and its cause such as intensity, distribution and socio and ec…
View article: Vegetation Drought Dynamic Analysis in European Russia
Vegetation Drought Dynamic Analysis in European Russia Open
This research work deals with the spatial-temporal characteristics of the relationship between drought events (Standardized Precipitation Index [SPI]), land surface temperature (LSI) and vegetation indexes (VIs) in the spring-summer (May-A…
View article: Groundwater Potential Zones in Relation to Catchment Condition in Orenburg, Russia
Groundwater Potential Zones in Relation to Catchment Condition in Orenburg, Russia Open
The main objective of this study was to detect groundwater availability for agriculture in the Orenburg, Russia. Remote sensing data (RS) and geographic information system (GIS) were used to locate potential zones for groundwater in Orenbu…
View article: Quantum Chemical and Adsorptive Studies of Euphorbia Hirta as Corrosion Inhibitor of Mild Steel in Hydrochloric Acid
Quantum Chemical and Adsorptive Studies of Euphorbia Hirta as Corrosion Inhibitor of Mild Steel in Hydrochloric Acid Open
Inhibitory propensity of ethanolic extract of Euphorbia hirta (EEEh) was investigated for mild steel (MS) in 0.5 M HCl at room temperature (30°C). Chemical method was employed to study the effect of change in concentration and immersion pe…
View article: Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance
Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance Open
The main aim of this research work is to compare k -nearest neighbor algorithm (KNN) supervised classification with migrating means clustering unsupervised classification (MMC) method on the performance of hyperspectral and multispectral d…
View article: Abridging the yield gap in eastern Indian states: Issues and challenges
Abridging the yield gap in eastern Indian states: Issues and challenges Open
Estimating and explaining yield gap is essential to guide for sustainable intensification of agricultural systems in order to keep pace with increasing food demand in India driven by population and income growth. Eastern Indian states cont…
View article: Remote sensing investigation of inundation, elevation and land use assessment for vulnerability analysis in Moscow, Russia
Remote sensing investigation of inundation, elevation and land use assessment for vulnerability analysis in Moscow, Russia Open
Land use/cover change analysis assists decision makers to ensure sustainable development and to understand the dynamics of our changing environment. This research work is to understand natural and environmental vulnerability situation and …
View article: Land cover classification and build spectral library from hyperspectral and multi-spectral satellite data: A data comparison study in Samara, Russia
Land cover classification and build spectral library from hyperspectral and multi-spectral satellite data: A data comparison study in Samara, Russia Open
The purpose of this research work is to compare hyperspectral and multispectral imagery to discriminating land-cover classes by k-nearest neighbor algorithm (KNN) supervised classification with migrating means clustering unsupervised class…
View article: FOOD VULNERABILITY AND ALLUVIAL FARMING FOR FOOD SECURITY IN CENTRAL DRY ZONE AREA OF MYANMAR
FOOD VULNERABILITY AND ALLUVIAL FARMING FOR FOOD SECURITY IN CENTRAL DRY ZONE AREA OF MYANMAR Open
The central dry zone area of Myanmar is the most water stressed and also one of the most food insecure regions in the country. In the Dry Zone area, the total population is 10.1 million people in 54 townships, in which approximately 43 % l…