Pravash Chandra Moharana

ORCID: 0000-0002-1207-0319
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About
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Research Areas
  • Soil Carbon and Nitrogen Dynamics
  • Soil Geostatistics and Mapping
  • Soil and Land Suitability Analysis
  • Phosphorus and nutrient management
  • Soil erosion and sediment transport
  • Composting and Vermicomposting Techniques
  • Agricultural Science and Fertilization
  • Geochemistry and Geologic Mapping
  • Soil and Unsaturated Flow
  • Groundwater and Watershed Analysis
  • Remote Sensing in Agriculture
  • Rangeland Management and Livestock Ecology
  • Clay minerals and soil interactions
  • Rice Cultivation and Yield Improvement
  • Groundwater and Isotope Geochemistry
  • Soil Management and Crop Yield
  • Flood Risk Assessment and Management
  • Municipal Solid Waste Management
  • Land Use and Ecosystem Services
  • Plant Micronutrient Interactions and Effects
  • Pesticide and Herbicide Environmental Studies
  • Smart Agriculture and AI
  • Wastewater Treatment and Reuse
  • Potato Plant Research
  • Soil and Water Nutrient Dynamics

National Bureau of Soil Survey and Land Use Planning
2016-2025

Indian Agricultural Research Institute
2012-2021

Central Arid Zone Research Institute
2019

Field experiments were carried out to assess the effect of nutrient management on soil properties and available micronutrients using Soil Test Crop Response (STCR) based targeted yield equations under a six-year old pearl millet-wheat cropping system. After six years, results showed that pH bulk density decreased, while cation exchange capacity organic carbon increased in farmyard manure (FYM) as compared control nitrogen, phosphorus potassium (NPK) treated plots both surface sub-surface...

10.1080/01904167.2016.1201504 article EN Journal of Plant Nutrition 2016-07-26

Soil depth is essential for eco-hydrological modeling, carbon storage estimation, and land evaluation, yet its spatial variation often poorly understood rarely mapped, particularly in complex landscapes with limited sample sizes. Digital soil mapping, employing various machine learning methods, has become crucial predicting mapping attributes. This study investigates distribution Rajasthan Gujarat, India, using techniques. A total of 37 environmental variables were examined to identify...

10.1080/00103624.2025.2449946 article EN Communications in Soil Science and Plant Analysis 2025-01-06

Wind erosion is a major natural disaster worldwide, and it key problem in western Rajasthan India. The Analytical Hierarchy Process (AHP), the Geographic Information System (GIS), remote sensing satellite images are effective tools for modeling risk assessment of land degradation. present study aimed to assess model degradation vulnerable (LDV) zones based on AHP geospatial techniques Luni River basin Rajasthan, This was carried out by examining important thematic layers, such as vegetation...

10.3390/land12010106 article EN cc-by Land 2022-12-29

Defining nutrient management zones (MZs) is crucial for the implementation of site-specific management. The determination MZs based on several factors, including crop, soil, climate, and terrain characteristics. This study aims to delineate by means geostatistical fuzzy clustering algorithms considering remotely sensed laboratory data and, subsequently, compare zone maps in north-eastern Himalayan region India. For this study, 896 grid-wise representative soil samples (0–25 cm depth) were...

10.3390/rs14092101 article EN cc-by Remote Sensing 2022-04-27

Maintaining soil organic carbon (SOC) in arid ecosystem is important for productivity and restoration of deserted sandy western plain India. There a need to understand how the cropping systems changes may alter SOC pools including total (TOC), particulate C (POC), water soluble (WSC), very labile (VLC), (LC), less (LLC) non-labile (NLC) climate. We selected seven major agricultural this study viz., barren, fallow, barley–fallow, mustard–moth bean, chickpea–groundnut, wheat–green gram...

10.1080/03650340.2017.1304637 article EN Archives of Agronomy and Soil Science 2017-03-08

Soil Organic Carbon (SOC) is a crucial indicator of ecosystem health and soil quality. Machine learning (ML) models that predict quality based on environmental parameters are becoming more prevalent. However, studies have yet to examine how well each ML technique performs when predicting mapping SOC, particularly at high spatial resolutions. Model predictors include topographic variables generated from SRTM DEM; vegetation indices derived Landsat satellite images SOC for the Lakhimpur...

10.3390/land12101841 article EN cc-by Land 2023-09-27

Changes in land use have several impacts on soil organic carbon (C) and nitrogen (N) cycling, both of which are important for stability fertility. Initially, the study area was barren uncultivated desert land. During late 1960s, introduction a canal arid region converted deserts into cultivated The objectives present were to evaluate effects various systems temporal changes C N pools, usefulness different management indices suitable sustainable under conditions. We quantified pools five uses...

10.3390/land11081180 article EN cc-by Land 2022-07-28

Numerous applications in agriculture, climate, ecology, hydrology, and the environment are severely constrained by lack of detailed information on soil texture. The purpose this study was to predict particle-size fractions (PSF) Ri-Bhoi district Meghalaya state, India, using a random forest model (RF). For modeling fractions, we employed 95 profiles (456 depth-wise layers) gathered from recent national land resource inventory as well currently accessible environmental variables. Sand, silt,...

10.3390/land12071295 article EN cc-by Land 2023-06-27

Quantitative information on nutrient mineralization in soil under different management strategies is essential for better assessment of availability and their loss from soil. Predicting has been one the greatest challenges to improve agriculture. Laboratory incubation experiment was conducted study nitrogen (N), phosphorus (P) sulphur (S) soils amended with rock phosphate (RP) enriched composts fertilizers over 120 days. Results revealed that RP compost mineralized higher N S unfertilized...

10.5958/0974-0228.2015.00038.9 article EN Journal of the Indian Society of Soil Science 2015-01-01

Management of enormous amounts crop residues generated from increased productivities is a serious issue and could be dealt with by composting. Understanding the effects such compost application on soil carbon (C) nitrogen (N) cycles important for assessing acceptable organic sources particular region. We appraised sensitivity indices C N pools in soils amended full 50% substitution mineral fertilisers rock phosphate enriched composts prepared rice straw, mustard stover tree leaves under...

10.1071/sr19091 article EN Soil Research 2019-10-30

In order to maintain crop productivity in arid western plain of India, there is a need for understanding the nutrient supplying capacity soil, which poses many challenges production. We studied four different levels intensification, namely barren land, low, medium and high intensity assessed their impact on soil properties available nutrients. High showed higher accumulation available-nitrogen (N) phosphorus (P) 0–15 cm depth then decreased with increasing depths. Higher depletion potassium...

10.1080/01904167.2017.1381732 article EN Journal of Plant Nutrition 2017-09-21

Understanding phosphorus (P) transformation in soil is necessary to develop sustainable P management practices. An experiment was carried out evaluate the fractions and delivery potential amended with rock phosphate (RP)-enriched composts under wheat–green gram cropping sequence. The mineralization study also revealed that treated RP-enriched showed a decline available during initial stages of 30 days but improved significantly progress time. Data emanated from crop trials significant...

10.1080/00103624.2022.2039175 article EN Communications in Soil Science and Plant Analysis 2022-02-10

Abstract Hydrothermal sensitivity of soil organic carbon decomposition in relation to global climatic changes is great importance for C cycle an agro‐ecosystem. To assess the sensitivities SOC as affected by different sources and mineral fertilizer Inceptisol, samples from a 5‐year‐old field experiment were collected unfertilized control, 100% NPK, vermicompost, compost, farmyard manure (FM) treated plots analyzed total C, labile fractions mineralization kinetics incubating soils at 25 35°C...

10.1029/2017jg004329 article EN Journal of Geophysical Research Biogeosciences 2018-04-12
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