Year: 2025
Type: article
Abstract: Pesticide management is a crucial aspect of agricultural sustainability and environmental safety. However, the lack of proper training and accessibility to real-time information has led to misuse, causing health and ecological hazards. This study proposes a Smart Mobile Learning System (SMLS) for pesticide management, leveraging mobile technologies to educate farmers, agricultural workers, and policymakers. The system integrates Artificial Intelligence (AI), Internet of Things (IoT), and cloud computing to deliver real-time recommendations, dosage calculations, and safety guidelines. A prototype system was developed and evaluated based on usability, effectiveness, and user satisfaction. Findings show that 90% of users improved their pesticide application accuracy and safety adherence. The study concludes that a mobile-based learning system enhances pesticide management, reducing health risks and improving sustainability.
Authors: Philip Nantok, Eseyin Joseph
Language: English
Topic: Mobile Learning in Education
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410939432