Pavan Kumar Bellam

ORCID: 0000-0002-1767-412X
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Flood Risk Assessment and Management
  • Climate change impacts on agriculture
  • Plant Water Relations and Carbon Dynamics
  • Leaf Properties and Growth Measurement
  • Agricultural Economics and Practices
  • Smart Agriculture and AI
  • Coastal wetland ecosystem dynamics
  • Climate variability and models
  • Remote-Sensing Image Classification
  • Agricultural Systems and Practices
  • Water Quality Monitoring Technologies
  • Aquatic Ecosystems and Biodiversity
  • Fish Ecology and Management Studies
  • Soil and Land Suitability Analysis
  • Marine and fisheries research

International Crops Research Institute for the Semi-Arid Tropics
2021-2024

Asian Development Bank Institute
2023

This study underscores the critical importance of accurate crop yield information for national food security and export considerations, with a specific focus on wheat estimation at Gram Panchayat (GP) level in Bareilly district, Uttar Pradesh, using technologies such as machine learning algorithms (ML), Decision Support System Agrotechnology Transfer (DSSAT) model semi-physical models (SPMs). The research integrates Sentinel-2 time-series data ground to generate comprehensive type maps....

10.3390/agriengineering6010045 article EN cc-by AgriEngineering 2024-03-11

In 2014, the State of Telangana in southern India began repairing and restoring more than 46,000 irrigation water tanks (artificial reservoirs) under Mission Kakatiya project with an investment excess USD 2 billion. this study, we attempted to map temporal changes that have occurred cropland areas bodies as a result project, using remote sensing imagery applying land use/land cover (LULC) mapping algorithms. We used 16-day time series data from Landsat 8 study spatial distribution over...

10.1080/10106049.2023.2186493 article EN cc-by Geocarto International 2023-03-01

Crop yield estimation has gained importance due to its vital significance for policymakers and decision-makers in enacting schemes, ensuring food security, assessing crop insurance losses biotic abiotic stress. This research focused on rice at the field level Karimnagar district of Telangana during 2021 2022 by employing leaf area index (LAI) as primary criterion integrating remote sensing technology simulation models. Using Sentinel-2 satellite data, was mapped with help ground data machine...

10.3390/agriengineering5040117 article EN cc-by AgriEngineering 2023-10-20

The lower catchment area of a Mak Hiao river system is vulnerable to flash floods and water stress. So it important construct irrigation structures in this minimize during the rainy season store for winter season. Asian Development Bank (ADB) has been supporting Government Laos constructing such small reservoirs like Donkhuay schemes 1 & 2, Hiao, Nalong 3 Sang Houabor projects areas. Our study evaluated impacts terms land-use/land-cover (LULC), crop intensity, productivity changes, using...

10.1016/j.atech.2022.100149 article EN cc-by Smart Agricultural Technology 2022-12-09

Shrimp farming and exporting is the main income source for southern coastal districts of Mekong Delta. Monitoring these shrimp ponds helpful in identifying losses incurred due to natural calamities like floods, sources water pollution by chemicals used farming, changes area cultivation with an increase demand production. Satellite imagery, which consistent good spatial resolution providing frequent information temporal a better solution monitoring remotely larger extent. The Cai Doi Vam...

10.3390/agriengineering5030089 article EN cc-by AgriEngineering 2023-08-25

A comprehensive analysis of climate data (1958-2018) is carried out at the national scale in India to assess spatiotemporal variation aridity. The aridity analyzed using UNEP (United Nations Environment Programme) Aridity Index (AI), which ratio between Precipitation (P) and Potential Evapotranspiration (PET). Freely available Terra-Climate database, P PET variables, offered an unprecedented opportunity for monitoring variations AI index anomalies (AIA) interseasonal inter-decadal basis....

10.30564/jasr.v4i3.3475 article EN Journal of Atmospheric Science Research 2021-08-12

Abstract Shrimp farming and exporting is the main income source for southern coastal districts of Mekong delta. Monitoring these shrimp ponds helpful in identifying losses incurred due to natural calamities like floods, sources water pollution by chemicals used farming, changes area cultivation with an increase demand production. Satellite imagery, which consistent good spatial resolution providing frequent information temporal a better solution monitoring remotely larger extent. The Cai Doi...

10.21203/rs.3.rs-2956143/v1 preprint EN cc-by Research Square (Research Square) 2023-05-30
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