Innovative Approaches for Pesticide-Resistant Plant Disease Detection: A Review on Integrated Diagnostic Technologies for Sustainable Agriculture

Abstract

Significant risks to global agriculture are posed by plant diseases, which can have a negative financial impact and affect food security. Pesticides make it more difficult to identify plant diseases accurately and quickly. Conventional methods of plant disease detection frequently rely on molecular techniques or visual symptoms. In agricultural settings where pesticides are used, this review examines integrated approaches for plant disease detection. We examine the difficulties presented by the relationship between pesticide residues and illness symptoms and assess the effectiveness of current approaches, including serological and DNA-based assays. We also highlight new technologies that provide creative ways to detect diseases during pesticide applications, such as biosensors and remote sensing.

The assessment highlights the requirement for reliable, quick, and pesticide-resistant diagnostic instruments to improve plant health monitoring in contemporary farming. By reducing the need for pesticides and increasing the use of sustainable and efficient plant disease management techniques, integrating these cutting-edge techniques can support agriculture's environmental and financial sustainability