| No. |
Title |
Details |
| 1. |
Optimizing Wheat (Triticum aestivum) Water Productivity and Nitrogen
Use Efficiency in Sandy Soils Using Water Retention Polymers with
Improved Nitrogen Fertilizers. |
International Journal of Agriculture & Biology
ISSN Print: 1560–8530; ISSN Online: 1814–9596 25–643/2026/35:350208
|
| 2. |
Runoff simulation in the Upper Indus Basin using HEC-HMS and GIS-based modeling techniques. |
Journal of Xi’an Shiyou University, Natural Sciences Edition, 68(9).
https://doi.org/10.5281/zenodo.1722510
(IF=0.95) |
| 3. |
Improving wheat yield prediction with multi-source remote sensing data and machine learning in arid regions. |
Remote Sensing, 17(5), 774.
https://doi.org/10.3390/rs17050774
(IF=4.2) |
| 4. |
Spatial Forest Health Monitoring Using Geospatial Technique: A Case
Study of Changa Manga Forest, Pakistan |
Xi’an Shiyou University, Natural Sciences, 67.https://doi.org/10.5281/zenodo.13744041
(IF=0.95) |
|
Book Chapters: |
|
| 1. |
Advances in geospatial modeling for flood risk assessment in changing climate. In Advances in Computational Intelligence for Climate Change Security and Sustainability |
IGI Global. https://doi.org/10.4018/979-8-3693-9132-7.ch003 |
| 2. |
AI in sustainable farming: Revolutionizing precision agriculture. In AI and Ecological Change for Sustainable Development (pp. 441–472) |
IGI Global. https://doi.org/10.4018/979-8-
3373-0680-3.ch015
|
| 3. |
AI-driven solutions for water quality assessment. In AI and Ecological
Change for Sustainable Development (pp. 101–124). |
IGI Global. https://doi.org/10.4018/979-8-3373-0680-3.ch004 |
| 4. |
Role of crop water requirement and irrigation scheduling in sustainable agriculture. In Advancing Global Food Security with Agriculture 4.0 and 5.0. |
IGI Global. https://doi.org/10.4018/979-8-3693-9964-4.ch011 |
| 5. |
Remote sensing and precision agriculture: A sustainable future. In S. Kanga, S.K. Singh, K. Shevkani, V. Pathak, & B. Sajan (Eds.), Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives (pp. 75–103). |
Springer Nature. https://doi.org/10.1007/978-3-031-63430-7_4 |
| 6. |
Managing water resources for
sustainable agricultural production. In S. Kanga, S.K. Singh, K. Shevkani, V. Pathak, & B. Sajan (Eds.), Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives (pp. 47–74). |
Springer Nature. https://doi.org/10.1007/978-3-031-63430-7_3 |
| 7. |
Climate change impacts on crop productivity and food security: An overview. In S. Kanga, S.K. Singh, K. Shevkani, V. Pathak, & B. Sajan (Eds.), Transforming Agricultural Management for a Sustainable Future. |
Springer Nature. https://doi.org/10.1007/978-3-031-63430-
7_8 |