Chemical pest control is essential in cotton cultivation but traditional uniform-dose spraying leads to excessive pesticide use, environmental damage, and economic losses. This study introduces a fuzzy logic-based system that optimizes pesticide spraying by adjusting the dose based on the plant’s growth stage and canopy coverage. The system was tested on a 50-hectare cotton field, resulting in a 30-35% reduction in pesticide use compared to traditional methods, while maintaining pest control effectiveness and crop yield. The fuzzy logic system offers a flexible, cost-effective solution, reducing pesticide use without compromising efficiency. Its adaptability to real-time conditions makes it a valuable tool for precision farming, contributing to more sustainable agricultural practices.
XIII. ÉVFOLYAM 2025. SPECIAL ISSUES 3. 34-39
DOI: 10.24387/CI.SI.2025.3.6
A cikk megtekinthető:
REFERENCES
AZFAR, S. – NADEEM, A. – AHSAN, K. – MEHMOOD, A. – SIDDUQUI, MS, SAEED, M. & ASHRAF, M. (2023): An IoT-Based System for Efficient Detection of Cotton Pest. Applied Sciences, 13(5), 2921.
BHAD PR. (2022): Biopesticides use on cotton and their harmful effects on human health & environment. International Journal of Clinical Microbiology and Biochemical Technology, 5(1), 005-008.
DEGUINE, J.-P. – AUBERTOT, J.-N. – FLOR, RJ. – LESCOURRET, F. – WYCKHUYS, KAG, & RATNADASS, A. (2021): Integrated pest management: good intentions, hard realities. The review. Agronomy for Sustainable Development, 41(3), 38.
GARCÍA-MUNGUÍA, AM – FICARRA, G. – DE LA HOZ, JT, & ACEVEDO-URREA, WA (2024): A Review of Agricultural Crop Spraying Drones: Operation Processes, Key Technologies and Current Challenges. Drones, 8(11), 687.
JIAO, Y. – ZHANG, S. – JIN, Y. – CUI, L. – CHANG, C. – DING, S. – SUN, Z. & XUE, X. (2025): Research Progress on Intelligent Variable-Rate Spray Technology for Precision Agriculture. Agronomy, 15(6), 1431.
LAMM, RD – SLAUGHTER, DC & GILES, DK (2002): Precision weed control system for cotton. Transactions of the ASAE, 45(1), pp. 231–238.
LEE, TY – REZA, MN – CHUNG, SO– KIM, DU– LEE, SY & CHOI, DH (2023): Application of fuzzy logics for smart agriculture: A review. Precision Agriculture Science and Technology, 5(1), pp. 1–14.
LI, B. – SHAHZAD, M. – KHAN, H. – BASHIR, MM – ULLAH, A. & SIDDIQUE, M. (2023): Sustainable Smart Agriculture Farming for Cotton Crop: A Fuzzy Logic Rule Based Methodology. Sustainability, 15(18), 13874.
LIU, X. – LIU, Y. – CHEN, X. – WAN, Y. – GAO, D. & CAO, P. (2025): LiDAR-Assisted UAV Variable-Rate Spraying System. Agriculture, 15(16), 1782.
LUO, Y. – HE, X. – SHI, H. – YANG, SX – SONG, L. & LI, P. (2025): Design and Development of a Precision Spraying Control System for Orchards Based on Machine Vision Detection. Sensors, 25(12), 3799.
SSHULTZ, DR – MERCALDI, HV – GAMBOA PENALOZA, EA– SILVA, LJR– OLIVEIRA, VA & CRUVINEL, PE (2024): Advanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities. Journal of Process Control, 135, 103164.
SHI, Y. – ZHANG, C. – LIANG, A. & YUAN, H. (2007): Fuzzy control of the spraying medicine control system. In Computer and Computing Technologies in Agriculture, Volume II (CCTA 2007) (pp. 1087–1094). Springer, Boston, MA.
SONG, L. – HUANG, J. – LIANG, X. – YANG, SX – HU, W. & TANG, D. (2020): An Intelligent Multi-Sensor Variable Spray System with Chaotic Optimization and Adaptive Fuzzy Control. Sensors, 20(10), 2954.
TASEER, A. & HAN, X. (2024): Advances in variable rate spraying for precise spray requirements in precision agriculture using unmanned aerial spraying systems: A review. Computers and Electronics in Agriculture, 219, 108841.
TUDI, M. – DANIEL RUAN, H. – WANG, L. – LYU, J. – SADLER, R. – CONNELL, D. – CHU, C. & PHUNG, D. T. (2021): Agriculture development, pesticide application and its impact on the environment. International Journal of Environmental Research and Public Health, 18(3), 1112.
YADAV, SK (2010): Pesticide applications – threat to ecosystems. Journal of Human Ecology, 32(1), pp. 37–45.
ZHENG, J. & XU, Y. (2023): A review: Development of plant protection methods and advances in pesticide application technology in agro-forestry production. Agriculture, 13(11), 2165.
