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Pathogen or Plant Disease Detection and Monitoring Market - A Global and Regional Analysis

Focus on Application, Product, and Region - Analysis and Forecast, 2023-2028

 
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Plant pathogen detection is the process of identifying and confirming the presence of microorganisms, such as fungi, bacteria, viruses, or nematodes, that cause diseases in plants. Various methods, including molecular techniques, traditional laboratory assays, and modern technologies such as machine learning and field-deployable tests, are employed for the accurate and timely identification of plant pathogens. Early detection is crucial for effective disease management in agriculture.

The global pathogen or plant disease detection and monitoring market size was $1.76 billion in 2022 and is predicted to reach $3.03 billion by 2028 at a CAGR of 9.68%.

The four main types of plant pathogens are fungi, bacteria, viruses, and nematodes. Fungi can cause diseases such as rust and powdery mildew, bacteria lead to issues such as bacterial wilt, viruses result in diseases such as mosaic viruses, and nematodes can contribute to root-knot nematode infections. Each type poses unique challenges to plant health and agricultural productivity.

The best model for plant disease detection depends on factors such as the type of disease and available resources. Image-based approaches, such as convolutional neural networks (CNNs), are effective for visual symptom recognition, while molecular diagnostics may involve traditional techniques such as polymerase chain reaction (PCR) or enzyme-linked immunosorbent assay (ELISA). The choice often requires consideration of the specific context and data available.

Plant disease detection methods include visual inspection for physical symptoms, traditional laboratory techniques such as PCR and ELISA, and modern approaches such as molecular techniques (NGS, LAMP), image-based detection using machine learning, and field-deployable tests such as lateral flow devices. Sensor technologies and smartphone apps are also emerging for efficient and rapid on-site detection. The choice of method depends on factors such as the type of pathogen, available resources, and the need for timely and accurate diagnosis.

Plant diagnosis involves identifying plant health issues using tools such as PCR for early DNA-based pathogen detection, ELISA for quick and accurate protein-based identification, and immunochromatography lateral flow device (LFD) for on-site simplicity. PCR requires lab and trained personnel, ELISA demands specific reagents and equipment, while LFDs offer portability with lower sensitivity and specificity. The choice of diagnostic tool depends on factors such as urgency, resources, and desired accuracy in pinpointing plant health problems.

A global pathogen or plant disease detection and monitoring market valued at $1.76 billion in 2022 is expected to reach $3.03 billion by 2028 at a compound annual growth rate (CAGR) of 9.68%. This growth can be attributed to the increasing global population creating pressure on the food supply system and the surging use of modern technologies in agriculture.

The objectives of plant diagnosis are to optimize crop health and yield through real-time data on crop growth, soil conditions, weather patterns, and disease prevention. It aids in efficient irrigation management, yield planning, and informed decision-making for optimal resource utilization.

The USP of the pathogen or plant disease detection and monitoring market report lies in its extensive coverage of the latest industry trends, market insights, technological advancements, and competitive landscape. It provides valuable data and analysis to help businesses make informed decisions, identify growth opportunities, and strategize their market entry or expansion plans in this rapidly evolving sector.

Agricultural technology companies and farmers/growers looking to adopt plant disease or pathogen detection and monitoring can benefit from the insights on market trends, innovations, and return on investment (ROI) analysis provided in the report. Investors and research institutions may also find valuable data for assessing market potential and studying agricultural technology advancements.

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