Plant Parasitic Nematode Identification in Complex Samples with Deep Learning

Agarwal, Sahil; Curran, Zachary C.; Yu, Guohao; Mishra, Shova; Baniya, Anil; Bogale, Mesfin; Hughes, Kody; Salichs, Oscar; Zare, Alina; Jiang, Zhe; DiGennaro, Peter

doi:10.2478/jofnem-2023-0045

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…For instance, a novel approach by Agarwal et al. (2023) utilized a public dataset of annotated images featuring PPNs extracted from heterogeneous soil samples to develop automated identification methods via deep-learning object detection models.…”

Section: Strategies For Detecting Managing and Preventing The Spread ...mentioning

confidence: 99%

“…Although this method has its limitations, its potential for enhancing PPN identification in complex samples is substantial. The future direction involves integrating these innovative models with existing ones that target specific nematode genera, creating a more comprehensive and efficient diagnostic process ( Agarwal et al., 2023 ).…”

Section: Strategies For Detecting Managing and Preventing The Spread ...mentioning

confidence: 99%

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Biosecurity risks to human food supply associated with plant-parasitic nematodes

Kantor,

Eisenback,

Kantor

2024

Front. Plant Sci.

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Biosecurity in agriculture is essential for preventing the introduction and spread of plant-parasitic nematodes (PPNs) which threaten global food security by reducing crop yields and facilitating disease spread. These risks are exacerbated by increased global trade and climate change, which may alter PPN distribution and activity, increasing their impact on agricultural systems. Addressing these challenges is vital to maintaining the integrity of the food supply chain. This review highlights significant advancements in managing PPN-related biosecurity risks within the food supply chain, particularly considering climate change’s evolving influence. It discusses the PPN modes of transmission, factors increasing the risk of infestation, the impact of PPNs on food safety and security, and traditional and emerging approaches for detecting and managing these pests. Literature suggests that implementing advanced biosecurity measures could decrease PPN infestation rates by up to 70%, substantially reducing crop yield losses and bolstering food security. Notably, the adoption of modern detection and management techniques, (molecular diagnostics and integrated pest management) and emerging geospatial surveillance and analysis systems (spectral imaging, change-detection analysis) has shown greater effectiveness than traditional methods. These innovations offer promising avenues for enhancing crop health and securing the food supply chain against environmental shifts. The integration of these strategies is crucial, demonstrating the potential to transform biosecurity practices and sustain agricultural productivity in the face of changing climatic conditions. This analysis emphasizes the importance of adopting advanced measures to protect crop health and ensure food supply chain resilience, providing valuable insights for stakeholders across the agricultural sector.

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Section: Strategies For Detecting Managing and Preventing The Spread ...mentioning

confidence: 99%

Section: Strategies For Detecting Managing and Preventing The Spread ...mentioning

confidence: 99%

Biosecurity risks to human food supply associated with plant-parasitic nematodes

Kantor,

Eisenback,

Kantor

2024

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

“…The dire need to accelerate agricultural production without further environmental pollution from using unhealthy nematicides [ 127 , 128 ] bodes well for such model-based strategies [ 126 ] via incorporating novel technologies [ 129 ] to achieve the improved INM plans envisioned herein. Moreover, manifold deep learning object diagnostic models could be used to provide prompt and informed PPN management strategies while offering a device to exploit broadly shared data and implement their meta-analyses [ 130 ].…”

Section: Bridging the Gap Between Current And Novel Strategies For Pp...mentioning

confidence: 99%

Upgrading Strategies for Managing Nematode Pests on Profitable Crops

Abd-Elgawad

2024

Plants

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Plant-parasitic nematodes (PPNs) reduce the high profitability of many crops and degrade their quantitative and qualitative yields globally. Traditional nematicides and other nematode control methods are being used against PPNs. However, stakeholders are searching for more sustainable and effective alternatives with limited side effects on the environment and mankind to face increased food demand, unfavorable climate change, and using unhealthy nematicides. This review focuses on upgrading the pre-procedures of PPN control as well as novel measures for their effective and durable management strategies on economically important crops. Sound and effective sampling, extraction, identification, and counting methods of PPNs and their related microorganisms, in addition to perfecting designation of nematode–host susceptibility/resistance, form the bases for these strategies. Therefore, their related frontiers should be expanded to synthesize innovative integrated solutions for these strategies. The latter involve supplanting unsafe nematicides with a new generation of safe and reliable chemical nematicidal and bionematicidal alternatives. For better efficacy, nematicidal materials and techniques should be further developed via computer-aided nematicide design. Bioinformatics devices can reinforce the potential of safe and effective biocontrol agents (BCAs) and their active components. They can delineate the interactions of bionematicides with their targeted PPN species and tackle complex diseases. Also, the functional plan of nematicides based on a blueprint of the intended goals should be further explored. Such goals can currently engage succinate dehydrogenase, acetylcholinesterase, and chitin deacetylase. Nonetheless, other biochemical compounds as novel targets for nematicides should be earnestly sought. Commonly used nematicides should be further tested for synergistic or additive function and be optimized via novel sequential, dual-purpose, and co-application of agricultural inputs, especially in integrated pest management schemes. Future directions and research priorities should address this novelty. Meanwhile, emerging bioactivated nematicides that offer reliability and nematode selectivity should be advanced for their favorable large-scale synthesis. Recent technological means should intervene to prevail over nematicide-related limitations. Nanoencapsulation can challenge production costs, effectiveness, and manufacturing defects of some nematicides. Recent progress in studying molecular plant–nematode interaction mechanisms can be further exploited for novel PPN control given related topics such as interfering RNA techniques, RNA-Seq in BCA development, and targeted genome editing. A few recent materials/techniques for control of PPNs in durable agroecosystems via decision support tools and decision support systems are addressed. The capability and effectiveness of nematicide operation harmony should be optimized via employing proper cooperative mechanisms among all partners.

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Plant Parasitic Nematode Identification in Complex Samples with Deep Learning

Cited by 2 publications

References 24 publications

Biosecurity risks to human food supply associated with plant-parasitic nematodes

Biosecurity risks to human food supply associated with plant-parasitic nematodes

Upgrading Strategies for Managing Nematode Pests on Profitable Crops

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