Fuzzy Logic-Based Precision Foliar Application Amount Determination Using Digital Image Processing of Maize Canopy

Bitopi Biswas¹ , Md Rubayet Haider² , M. Robiul Islam³

1. Precision and Automated Agriculture Laboratory, Dept. of Agronomy and Agricultural Extension, University of Rajshahi, Bangladesh.
2. Precision and Automated Agriculture Laboratory, Dept. of Agronomy and Agricultural Extension, University of Rajshahi, Bangladesh.
3. Precision and Automated Agriculture Laboratory, Dept. of Agronomy and Agricultural Extension, University of Rajshahi, Bangladesh.

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.11 , pp.8-15, Nov-2024

Online published on Nov 30, 2024

Copyright © Bitopi Biswas, Md Rubayet Haider, M. Robiul Islam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In this research an automatic and nondestructive method of precision farming (like foliar application of nutrient / herbicide /pesticide) was developed with the help of maize canopy cover and fuzzy logic. For this study it used data from an experiment conducted at the Department of Agronomy and Agricultural Extension, Field Laboratory, University of Rajshahi. Digital image taken from the field and processed for a precise amount of nutrient / herbicide /pesticide recommendation. The system input variables based on fuzzy rules were canopy cover (%) being defined as three fuzzy sets. The output variable was foliar agrochemical application recommendation. For output variables 3 fuzzy sets were defined. Canopy cover (%) based precise amount of nutrient / herbicide /pesticide application will optimize production cost with the right amount and ensure a sustainable environment. The results of the simulation showed significant reductions in agrochemical usage compared to a uniform blanket application across the field. For areas with sparse canopy cover, agrochemical use was reduced by as much as 75%.

Key-Words / Index Term :
image processing, canopy cover, fuzzy logic, foliar spray

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