Prof. Dr. Jiquan Wang | Crop Science | Editorial Board Member
Professor at Northeast Agricultural University | China
Prof. Dr. Jiquan Wang is a distinguished professor at the College of Engineering, Northeast Agricultural University, recognized for his extensive contributions to agricultural systems engineering, intelligent optimization algorithms, and data-driven decision-making in agriculture; he completed his bachelor’s, master’s, and doctoral studies in engineering at leading agricultural universities in China and began his professional career as a technician in an electronics company before transitioning into academia, where he progressed through roles including teaching assistant, lecturer, associate professor, visiting scholar, and professor; his research portfolio spans theoretical and applied studies in genetic algorithms, hybrid evolutionary algorithms, firefly algorithms, sine–cosine optimization, mayfly optimization, carnivorous plant algorithms, whale optimization, evolutionary game theory, agricultural production modeling, pork supply forecasting, crop planting structure optimization, multilevel thresholding image segmentation, food supply chain safety, and agricultural technological progress measurement; he has served as principal investigator for numerous competitive research grants supported by provincial, national, and public-welfare programs, covering subjects such as agricultural machinery system optimization, BP neural network applications, groundwater monitoring technologies, seasonal rural labor estimation, rice production integration, and supply-demand regulation models for agricultural products; he has supervised many postgraduate theses involving advanced optimization techniques, machine learning applications, routing algorithms, neural networks, production function analysis, supply chain coordination, and image-based crop identification; his scholarly output includes influential publications in top international journals such as Computers and Electronics in Agriculture, Expert Systems with Applications, Applied Soft Computing, Applied Intelligence, IEEE Access, Mathematics, Sustainability, Knowledge-Based Systems, and Computational Intelligence and Neuroscience, and he has served as associate editor of major academic textbooks including Agricultural Systems Engineering and Management Information System Analysis and Design, with his works widely cited for advancing modern agricultural engineering; his innovation record includes numerous authorized patents covering agricultural machinery, intelligent scheduling methods, crop production devices, soil and crop processing systems, optimization-based agricultural tools, and smart mechanization structures, reflecting his leadership in merging engineering innovation with computational intelligence for sustainable agricultural development.
Featured Publications :
Jinling, B., Wang, J., & Zhang, H. (in press). An optimization method for corn planting parameters based on mutation breeding sea horse optimization algorithm. Computers and Electronics in Agriculture.
Author, A., & Wang, J. (in press). A knowledge-driven smart system based on reinforcement learning for pork supply-demand regulation. Agriculture (Switzerland).
Author, A., Author, B., & Wang, J. (in press). Edge–Region collaborative segmentation of potato leaf disease images using Beluga Whale Optimization Algorithm with danger sensing mechanism. Agriculture (Switzerland).
Author, A., Author, B., Author, C., & Wang, J. (2024). Identifying rice lodging based on semantic segmentation architecture optimization with UAV remote sensing imaging. Computers and Electronics in Agriculture, (vol/issue not provided).