Syed Tahir Ata-Ul-Karim

ORCID: 0000-0001-5233-4502
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About
Contact & Profiles
Research Areas
  • Crop Yield and Soil Fertility
  • Rice Cultivation and Yield Improvement
  • Remote Sensing in Agriculture
  • Soil Carbon and Nitrogen Dynamics
  • Plant nutrient uptake and metabolism
  • Climate change impacts on agriculture
  • Plant Water Relations and Carbon Dynamics
  • Heavy metals in environment
  • Leaf Properties and Growth Measurement
  • Wheat and Barley Genetics and Pathology
  • Agriculture, Soil, Plant Science
  • Plant Stress Responses and Tolerance
  • Irrigation Practices and Water Management
  • Arsenic contamination and mitigation
  • Genetics and Plant Breeding
  • Soil Geostatistics and Mapping
  • Plant responses to water stress
  • Soil and Water Nutrient Dynamics
  • Remote Sensing and LiDAR Applications
  • Plant responses to elevated CO2
  • Greenhouse Technology and Climate Control
  • Heavy Metal Exposure and Toxicity
  • GABA and Rice Research
  • Land Use and Ecosystem Services
  • Horticultural and Viticultural Research

The University of Tokyo
2020-2024

Aarhus University
2024

Pennsylvania State University
2024

Institute of Soil Science
2017-2022

Chinese Academy of Sciences
2017-2022

Nanjing Agricultural University
2011-2021

National Engineering Research Center for Information Technology in Agriculture
2019

Huazhong Agricultural University
2016

Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and environmental studies. Due to rapid advances unmanned aerial vehicle (UAV) sensor technologies, UAV-based remote sensing emerging as promising solution for monitoring crop LAI with great flexibility applicability. This study aimed determine the feasibility combining color texture information derived from digital images estimating rice (Oryza sativa L.). Rice field trials were conducted at two sites using...

10.3390/rs11151763 article EN cc-by Remote Sensing 2019-07-26

The Soil Plant Analysis Development (SPAD) chlorophyll meter is one of the most commonly used diagnostic tools to measure crop nitrogen status. However, measurement method could significantly affect accuracy final estimation. Thus, this research was undertaken develop a new methodology optimize SPAD measurements in rice (Oryza sativa L.). A flatbed color scanner map dynamic distribution and irregular leaf shapes. Calculus algorithm adopted estimate potential positions for along blade. Data...

10.3389/fpls.2016.00719 article EN cc-by Frontiers in Plant Science 2016-05-25

Efficient nitrogen (N) nutrition has the potential to alleviate drought stress in crops by maintain-ing metabolic activities even at low tissue water potential. This study was aimed understand of N minimize effects applied/occur during tillering (Feekes stage 2) and jointing 6) growth stages wheat observing regulations limitations physiological activities, crop rate periods as well final grain yields maturity. In present study, pot cultured plants a cultivar Yangmai-16 were exposed three...

10.3389/fpls.2016.00981 article EN cc-by Frontiers in Plant Science 2016-06-29

The use of efficient rates nitrogen (N) fertilizer application is important with regard to increasing crop productivity and maintaining environmental sustainability. Rice-oilseed rape rotations are a mainstay the economy food security China. Therefore, field experiment was carried out during 2011–2013 in Honghu identify most appropriate N for enhancing efficiency rice (Oryza sativa L.)-oilseed (Brassica napus L.) rotations. Six treatments (RO1, RO2, RO3, RO4, RO5, RO6) were laid randomized...

10.3389/fpls.2016.01496 article EN cc-by Frontiers in Plant Science 2016-09-29

Non-destructive assessment of plant nitrogen (N) status is essential for efficient crop production and N management in intensive rice (Oryza sativa L.) cropping systems. Chlorophyll meter (SPAD-502) has been widely used as a rapid, non-destructive cost-effective diagnostic tool in-season status. The present study was intended to establish the quantitative relationships between chlorophyll meters readings, concentration (PNC), nutrition index (NNI), accumulated deficit (AND), requirement...

10.3389/fpls.2016.01829 article EN cc-by Frontiers in Plant Science 2016-12-15

Early and reliable crop yield prediction on a large scale is imperative for making in-season management decisions as well ensuring global food security. The integrated use of climate remote sensing data predicting at regional national scales has been previously investigated in various parts the world. However, such attempts prediction, particularly different planting zones China have rarely reported. For this purpose, study explored potential nine variables, three sensing-derived metrics,...

10.1016/j.jag.2022.102861 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2022-06-10

Studying plants' capability to adapt and recover from drought stress is essential because of the ever-changing nature events. To evaluate genotypically variable morpho-physiological adaptations recovery after re-watering, two wheat cultivars (Luhan-7 Yangmai-16) were pot-cultured under three levels water stress: severe (35-40% field capacity, FC) moderate deficits (55-60% well-watered conditions. Drought was applied at tillering (Feekes 2 stage) jointing 6 stage), respectively, followed by...

10.1071/fp16150 article EN Functional Plant Biology 2016-01-01
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