Advance Techniques in Plant Disease Management

Advance Techniques in Plant Disease Management

Ashwini Patil, Pravin Bainade, Karuna Kurhade

Department of Plant Pathology, CSMSS College of Agriculture, Kanchanwadi, Chhatrapati Sambhajinagar (MS)

Corresponding Author:

Ashwini Patil

E-mail: ashwinipatil130541@gmail.com

Abstract

Plant diseases can reduce human food availability. Traditional methods of plant disease management faces problems due to climate change, fungicide resistance, pesticide residues and biodiversity loss. Plant pathology plays a vital role in identifying, understanding and controlling pathogens that affect crops. In this review, we delve into the diverse array of plant pathology techniques employed for disease management. Plant disease forecasting models can be used to predict plant diseases ahead of time. Protected cultivation combats climate change. It is necessary to find more evidence that plant pathogen diversity has a dilution effect on disease incidence. Deep learning-based disease diagnosis will help detect diseases faster. More hybrid fungicides should be developed to minimize fungicidal resistance problems. Computer science and IoT are increasingly being used to combat plant diseases. Transcription activator like effective nucleases (TALENs), Mega nucleases, zinc finger nucleases (ZFNs), clustered regularly interspaced short palindromic repeat (CRISPR) are some of different genome editing tools. Nano particles are effective, cheap and ecofriendly in combating microbes. Among the molecular methods of plant disease management, RNA interference-mediated gene silencing and genome editing with CRISPR is more promising in plant disease management.

Keywords: Agriculture, plant diseases, remote sensing, computer science, nanotechnology, genome editing, protected cultivation, hybrid fungicides, molecular methods, gene silencing.