Artificial Intelligence Revolutionizes Plant Pathology: Unleashing the Power of Technology for Crop Protection
Shraddha Bhaskar Sawant*
Odisha University of Agriculture and Technology, Bhubaneswar, Odisha (753 001), India
Repudi Shalem Raju
Odisha University of Agriculture and Technology, Bhubaneswar, Odisha (753 001), India
GBN Jyothi
Odisha University of Agriculture and Technology, Bhubaneswar, Odisha (753 001), India
Laxmipreeya Behera
Odisha University of Agriculture and Technology, Bhubaneswar, Odisha (753 001), India
DOI: NIL
Keywords: Artificial Intelligence, Disease diagnosis, Food security, Plant pathology
Abstract
This article explores the transformative role of Artificial Intelligence (AI) in plant pathology and its impact on disease diagnosis, monitoring and management in agriculture. By leveraging advanced AI algorithms and techniques, plant pathologists can detect diseases at an early stage, accurately diagnose them and predict disease outbreaks. AI-integrated decision support systems provide personalized recommendations for disease control strategies, pesticide usage and crop rotation practices, fostering sustainable agricultural practices. The use of AI models such as Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs) and Recurrent Neural Networks (RNNs) enables efficient disease detection, classification and risk assessment based on plant images and data analysis. This article highlights the potential of AI in revolutionizing plant pathology, enhancing crop protection and contributing to global food security.
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Reference
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