Machine Learning Integrated Pest Management for Precise Jute Cultivation

Abstract

Jute cultivation plays a significant role in the agricultural economy, particularly in South and Southeast Asia. However, pest infestations have been a persistent challenge, impacting yield and quality. Recent statistics reveal that pest-related losses in jute cultivation can reach up to 30% of the total crop yield annually. For instance, data from 2023 indicate that the total loss due to pests in major jute-producing regions amounted to approximately $500 million. The trend of increasing pest-related issues is a growing concern, with incidences rising by 15% over the past five years.