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@article{170040, author = {Dr. J. Robert Adaikalaraj and Dr. Z. John Bernard and Dr. A. John Pradeep Ebenezer and Dr. A. Lourdu Caroline}, title = {Integrating Earthworm Optimization with GIS and GPS for Resource Optimization in Precision Farming}, journal = {International Journal of Innovative Research in Technology}, year = {2024}, volume = {11}, number = {6}, pages = {3022-3028}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=170040}, abstract = {The integration of Information and Communication Technologies (ICT) in agriculture has paved the way for more efficient and sustainable farming practices. Precision farming, particularly the use of Geographic Information Systems (GIS) and Global Positioning Systems (GPS), has significantly enhanced resource management in agriculture by enabling location-based data collection and real-time decision-making. This paper introduces a novel approach that combines Earthworm Optimization (EO) algorithms with GIS and GPS technologies to optimize the application of key resources such as water, fertilizers, and pesticides in precision farming. EO, a bio-inspired optimization technique, simulates the foraging behavior of earthworms, which enables the identification of optimal solutions for resource allocation in agricultural fields. The proposed framework is designed to enhance resource-use efficiency, reduce wastage, and promote environmental sustainability. Experimental results from a case study on a test farm show that the integration of EO with GIS and GPS leads to a significant reduction in resource consumption, an increase in crop yield, and a decrease in environmental impact. This research presents a promising direction for future advancements in precision agriculture that could benefit farmers, policymakers, and the environment alike.}, keywords = {Earthworm Optimization, Precision Farming, GPS, GIS, Bio-inspired Algorithms, Agricultural Sustainability.}, month = {November}, }
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