Ajoy Kumar Saha
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Vrije Universiteit Brussel (2018–2019); Sylhet Agricultural University (2021–2026); South Dakota State University (2021–2026); Bangladesh Agricultural University (1970–2023); Tripura University (2015); University of Rajshahi (2014–2016)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ajoy Kumar Saha's research has investigated various aspects of animal health, soil science, and plant cultivation. His work includes studies on salmonellosis in layer chickens and the isolation of bacteria from ovaries and eggs, as well as research into the prevalence of Salmonella infection in birds in Bangladesh. Saha has also examined the pathological features of Klebsiella granulomatis pathogenic to silkworms. In the realm of soil and water, his publications address the impact of agricultural practices like no-till farming, crop rotation, cover crops, and drainage on soil properties, and the prediction of saturated hydraulic conductivity using soil class and terrain attributes. Additionally, his research has explored the growth of mycelial biomass and fruit body cultivation of Lentinus squarrosus and the sensitivity of wheat to irrigation water salinity.
Metrics
- h-index: 7
- Publications: 23
- Citations: 212
Positions
-
Assistant Professor 2023–presentUniversity of Arkansas at Pine Bluff Agriculture ORCID
-
Assistant Professor 2013–presentSylhet Agricultural University Department of Irrigation and Water Management ORCID
-
Research Associate 2023South Dakota State University Agricultural and Biosystems Engineering ORCID
-
Graduate Research Assistant 2019–2023South Dakota State University Agricultural and Biosystems Engineering ORCID
Selected Publications
-
Future-proofing raised bed irrigation for rabi maize using sensor-based soil moisture monitoring, AquaCrop modeling, and CMIP6-based climate projections in Bangladesh (2026)
-
Impact of no-till, cover crop, and tile drainage system on soil moisture dynamics within 0–120 cm soil profile (2026)
-
Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion (2026)
-
Impact of No-Till, Cover Crop, and Tile Drainage System on Soil Moisture Dynamics within 0-120 cm Soil Profile (2026)
-
Impact of no‐till, crop rotation, cover crop, and drainage on soil physical and hydraulic properties (2023)
Collaboration Network
Top Collaborators
- Impact of no‐till, crop rotation, cover crop, and drainage on soil physical and hydraulic properties
- Impact of No-Till, Cover Crop, and Tile Drainage System on Soil Moisture Dynamics within 0-120 cm Soil Profile
- Impact of no-till, cover crop, and tile drainage system on soil moisture dynamics within 0–120 cm soil profile
- Impact of no‐till, crop rotation, cover crop, and drainage on soil physical and hydraulic properties
- Impact of No-Till, Cover Crop, and Tile Drainage System on Soil Moisture Dynamics within 0-120 cm Soil Profile
- Impact of no-till, cover crop, and tile drainage system on soil moisture dynamics within 0–120 cm soil profile
- Impact of no‐till, crop rotation, cover crop, and drainage on soil physical and hydraulic properties
- Impact of No-Till, Cover Crop, and Tile Drainage System on Soil Moisture Dynamics within 0-120 cm Soil Profile
- Impact of no‐till, crop rotation, cover crop, and drainage on soil physical and hydraulic properties
- Impact of No-Till, Cover Crop, and Tile Drainage System on Soil Moisture Dynamics within 0-120 cm Soil Profile
- Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion
- Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion
- Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion
- Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion
- Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion
- Spatial Mapping of Cropland Soil Load Bearing Capacity in Northeastern Bangladesh: A Multi-Feature-based Prediction using Machine Learning-Remote Sensing Fusion
- Impact of no-till, cover crop, and tile drainage system on soil moisture dynamics within 0–120 cm soil profile
- Impact of no-till, cover crop, and tile drainage system on soil moisture dynamics within 0–120 cm soil profile
- Future-proofing raised bed irrigation for rabi maize using sensor-based soil moisture monitoring, AquaCrop modeling, and CMIP6-based climate projections in Bangladesh
- Future-proofing raised bed irrigation for rabi maize using sensor-based soil moisture monitoring, AquaCrop modeling, and CMIP6-based climate projections in Bangladesh
Similar Researchers
Based on overlapping research topics