Noman Ahmad

Mr. Noman Ahmad

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
8 March 2023 in Journal of the Science of Food and Agriculture
Verified
Journal Article
Closed access
MUMuhammad Usman
Muhammad Usman
Noman AhmadNoman Ahmad
Noman Ahmad
WRWaleed Raza
Waleed Raza
ZZZhenhua Zhao
Zhenhua Zhao
MAMaria Abubakar
Maria Abubakar
HTHumna Tariq
Humna Tariq

15 April 2024 in Journal of the Science of Food and Agriculture
Verified
Journal Article
Closed access
IAIbrar Ahmad
Ibrar Ahmad
WAWiqar Ahmad
Wiqar Ahmad
JNJaya Nepal
Jaya Nepal
MJMuhammad Bilawal Junaid
Muhammad Bilawal Junaid
NBNajat A Bukhari
Najat A Bukhari
RKRab Nawaz Khan
Rab Nawaz Khan

8 November 2023 in Land
Verified
Journal Article
Open access
PDF file
Noman AhmadNoman Ahmad
Noman Ahmad
Fazila YounasFazila Younas
Fazila Younas
HAHamaad Raza Ahmad
Hamaad Raza Ahmad
MSMuhammad Sarfraz
Muhammad Sarfraz
MAMuhammad Ashar Ayub
Muhammad Ashar Ayub
ZCZhaojie Cui
Zhaojie Cui
Soybean (Glycine max) is a protein-rich oilseed crop that is extensively used for cooking oil and poultry feed and faces significant challenges due to adverse global climatic conditions aggravated by the ongoing climate crisis. In response to this critical issue, this study was initiated to assess suitable zones for soybean cultivation, aiming to facilitate informed land use decisions within the semi-arid terrestrial ecosystem. Through the utilization of geostatistical interpolation, data layers encompassing soil, irrigation water, land use and land cover, topographic features, and climate information were generated and overlaid based on criterion weightage derived from the Analytic Hierarchy Process. The accuracy of land use and land cover was rigorously evaluated, yielding a 70% overall accuracy and a Kappa (K) value of 0.61, signifying an acceptable level of precision. Validation through the Receiver Operating Characteristic curve for soybean crop suitability demonstrated a highly satisfactory area under the curve of 0.738. The study estimates that out of 172,618.66 hectares, approximately 47.46% of the land is highly suitable (S1) for soybean production, followed by 21.36% moderately suitable (S2), 11.91% marginally suitable (S3), 7.00% currently not suitable (N1), and 12.28% permanently not suitable (N2). Conclusively, the findings suggest that the study area exhibits conducive climatic conditions, optimal soil health, and access to quality irrigation water, all of which have the potential to support soybean crops with improved agronomic practices. This investigation offers valuable insights to both farmers and policymakers concerning irrigation water quality, agricultural productivity, and soil degradation.