Artificial intelligence in plant disease identification: Empowering agriculture
Loading...
Date
2024
Journal Title
Methods in Microbiology
Journal ISSN
Volume Title
Publisher
Academic Press Inc.
Abstract
The agricultural sector faces numerous challenges, such as infectious diseases, pest invasions, improper soil management, inadequate watering, and more. Among these, plant infectious diseases stand out as a leading cause of damage to crops. These diseases, impacting plants, result from various factors like genetics, soil composition, precipitation, moisture levels, humidity, temperature, and wind. In recent times, there has been a significant increase in the prevalence of plant infectious diseases. Pathogens like viruses, bacteria, and fungi consistently pose threats to plants, leading to substantial global crop yield losses during disease outbreaks. Unfortunately, disease identification and diagnosis typically occur at an advanced stage, causing significant agricultural setbacks. Given the impact of plant diseases on the nutritional value of fruits, vegetables, organic products, and cereals, timely identification is crucial during cultivation. Artificial intelligence (AI) has emerged as a pivotal tool in this context, leveraging its meticulous training capabilities for the effective identification of infectious plant diseases. This chapter illustrates how AI plays a vital role in identifying and diagnosing contagious plant diseases. � 2024 Elsevier Ltd
Description
Keywords
Agriculture, Artificial intelligence, Deep learning, Infectious plant disease detection, Machine learning