Deputy Director at Shihezi University, China
Xin Lv, Deputy Director at Shihezi University, is a distinguished agricultural scientist with expertise in crop cultivation, smart agriculture, and applied meteorology. With over three decades of experience, he has led numerous national and provincial projects, authored influential publications, and significantly contributed to advancing cotton production technology in China. His work integrates modern precision agriculture techniques, fostering technological progress and sustainable agricultural practices.
Publication Profile
scopus
🎓 Education
🎓 BSc in Agronomy – Shihezi University (1987) 🎓 MSc in Applied Meteorology – Nanjing Institute of Meteorology (1994 PhD in Crop Cultivation and Tillage Science – Shandong Agricultural University (2002)
💼 Experience
🔧 Deputy Director at Shihezi University 📊 Hosted 19 national and 17 provincial-level projects 📝 Published 289 papers (58 SCI/EI) 📚 Authored 10 books and 15 technical regulations 🤝 Collaborates with National Cotton Engineering Technology Research Center
🏆 Awards and Honors
🥇 First Prize, Xinjiang Scientific and Technological Progress (2015, 2020, 2023) 🏅 Invention Patent Award (2018) 🏆 Second Prize, National Science and Technology Progress Award (Collective) 🌱 Director of China Crop Society, VP of Smart Agriculture Committee
🌱 Research Focus
Xin Lv’s research targets precision agriculture, focusing on cotton production. His work addresses challenges like high costs and inefficiencies through advanced nutrient monitoring, water management, and pest control systems. He pioneered a cloud platform for water and fertilizer management, enhancing crop productivity and sustainability.
Publications
🌵 Warming effect of desert on cotton Verticillium wilt
Industrial Crops and Products – Examines how desert warming influences cotton disease distribution.
🛰️ Growth monitoring index for cotton using Sentinel-2A
Field Crops Research – Utilizes satellite data to monitor cotton growth on a large scale.
🌱 Improving soil quality predictions using spectral data fusion
Geoderma – Combines Vis-NIR and pXRF data for enhanced soil quality assessments.
🌡️ Mulching-induced warming impacts on cotton zones
Atmosphere – Assesses how mulching alters temperatures in machine-picked cotton fields.
📊 Image-spectral fusion for cotton nitrogen monitoring
Computers and Electronics in Agriculture – Deep learning-based nitrogen content monitoring.
🌍 Soil nitrogen estimation using feature selection and stratification
Computers and Electronics in Agriculture – Increases accuracy in soil nitrogen estimation.
🚁 UAV imagery reducing interference for cotton nitrogen monitoring
Frontiers in Plant Science – UAV-based imaging techniques for precise monitoring.
🧪 UAV RGB images for cotton nitrogen diagnostics
Notulae Botanicae Horti Agrobotanici – Uses UAVs to diagnose nitrogen content in cotton.
🌿 Vegetation indices fusion for cotton leaf area prediction
Frontiers in Plant Science – Enhances accuracy in leaf area prediction.
🌱 Estimating cotton leaf nitrogen with the PROSPECT model
Notulae Botanicae Horti Agrobotanici – Constructs models for estimating leaf nitrogen content.
Conclusion
XinLv’s extensive research output, leadership in national projects, and innovation in crop information technology position him as an outstanding candidate for the Best Researcher Award. His contributions have significantly advanced precision agriculture and smart farming practices, driving sustainable solutions to key agricultural challenges. With continued efforts in international collaborations and outreach, XinLv’s impact on global agricultural innovation is expected to grow even further.