A Fuzzy Logic–based Framework for Reducing Ecological Contamination from Pesticide Spraying and Nanomanure Application in Chas Anchal of Bokaro, Jharkhand, India

Mukesh Kumar Sinha; Rajesh Kumar Tiwari

doi:10.26713/cma.v17i3.3577

Authors

Mukesh Kumar Sinha BBMKU Dhanbad, Jharkhand, India https://orcid.org/0009-0006-2088-8547
Rajesh Kumar Tiwari University Department of Mathematics, Binod Bihari Mahto Koyalanchal University, Dhanbad, 828103, Jharkhand, India

DOI:

https://doi.org/10.26713/cma.v17i3.3577

Keywords:

Fuzzy logic, ecological contamination, pesticide optimization, nanomanure, environmental decision support, sustainable agriculture

Abstract

Agricultural intensification in developing regions has led to excessive pesticide use and improper fertilizer application, causing significant ecological contamination. The present study suggests a novel fuzzy logic-based decision support framework to optimize pesticide spraying and nanomanure application in Chas Anchal, Bokaro district, Jharkhand, India. The framework integrates multiple environmental parameters, including soil contamination levels, water quality indices, crop health indicators, and weather conditions through fuzzy inference systems. Using Mamdani-type fuzzy logic with triangular and trapezoidal membership functions, the system generates optimized application schedules that minimize ecological damage while maintaining agricultural productivity. Field data collected from 45 agricultural sites during 2023-2024 were analyzed using MATLAB Fuzzy Logic Toolbox. The proposed framework reduced pesticide usage by 34% and minimized soil heavy metal accumulation by 28% compared to conventional practices. Statistical validation using root mean square error (RMSE = 0.087) and correlation coefficient (r = 0.91) confirmed the model's reliability. This research demonstrates that fuzzy logic systems can effectively balance agricultural productivity with environmental sustainability in resource-constrained settings.

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