A Review on the Application of Deep Learning Methods in Detection and Identification of Rice Diseases and Pests

In rice production,the prevention and management of pests and diseases have always received special attention.Traditional methods require human experts,which is costly and time-consuming.Due to the complexity of the structure of rice diseases and pests,quickly and reliably recognizing and locating them is difficult.Recently,deep learning technology has been employed to detect and identify rice diseases and pests.This paper introduces common publicly available datasets;summarizes the applications on rice diseases and pests from the aspects of image recognition,object detection,image segmentation,attention mechanism,and few-shot learning methods according to the network structure differences;and compares the performances of existing studies.Finally,the current issues and challenges are explored fromthe perspective of data acquisition,data processing,and application,providing possible solutions and suggestions.This study aims to review various DL models and provide improved insight into DL techniques and their cutting-edge progress in the prevention and management of rice diseases and pests.

An Improved YOLO Detection Approach for Pinpointing Cucumber Diseases and Pests

In complex agricultural environments,cucumber disease identification is confronted with challenges like symptom diversity,environmental interference,and poor detection accuracy.This paper presents the DM-YOLO model,which is an enhanced version of the YOLOv8 framework designed to enhance detection accuracy for cucumber diseases.Traditional detection models have a tough time identifying small-scale and overlapping symptoms,especially when critical features are obscured by lighting variations,occlusion,and background noise.The proposed DM-YOLO model combines three innovative modules to enhance detection performance in a collective way.First,the MultiCat module employs a multi-scale feature processing strategy with adaptive pooling,which decomposes input features into large,medium,and small scales.This approach ensures that high-level features are extracted and fused effectively,effectively improving the detection of smaller and complex patterns that are often missed by traditional methods.Second,the ADC2f module incorporates an attention mechanism and deep separable convolution,which allows the model to focus on the most relevant regions of the input features while reducing computational load.The identification and localization of diseases like downy mildew and powdery mildew can be enhanced by this combination in conditions of lighting changes and occlusion.Finally,the C2fe module introduces a Global Context Block that uses attention mechanisms to emphasize essential regions while suppressing those that are not relevant.This design enables the model to capture more contextual information,which improves detection performance in complex backgrounds and small-object scenarios.A custom cucumber disease dataset and the PlantDoc dataset were used for thorough evaluations.Experimental results showed that DM-YOLO achieved a mean Average Precision(mAP50)improvement of 1.2%p on the custom dataset and 3.2%p on the PlantDoc dataset over the baseline YOLOv8.These results highlight the model’s enhanced ability to detect small-scale and overlapping disease symptoms,demonstrating its effectiveness and robustness in diverse agricultural monitoring environments.Compared to the original algorithm,the improved model shows significant progress and demonstrates strong competitiveness when compared to other advanced object detection models.

Social Cost Analysis of Biological Control Technology for Crop Diseases and Insect Pests

With the rapid development of modern agriculture,the prevention and control of crop diseases and insect pests has become an important part to ensure the safety of agricultural production,the quality of agricultural products and the safety of agricultural ecological environment.Although the effect of traditional chemical prevention and control technology is remarkable,the health risks and environmental problems brought by it should not be ignored.As a green and environmentally friendly means of prevention and control,biological prevention and control technology has gradually become a hot research topic and a trend of agricultural production.This paper is intended to comprehensively evaluate the social costs of biological control technologies for crop diseases and pests,including the health risks reduced,environmental improvements,economic benefits,and barriers to promotion,and put forward corresponding policy recommendations.

Technical Points of Green Prevention and Control Technology of Major Diseases and Pests in Lixian Rhubarb(Rheum palmatum L.)

Based on different types of diseases,pests and weeds in the whole growth period of rhubarb(sowing period-harvesting period),the corresponding green prevention and control technology is proposed,aiming to further reduce the application amount of pesticides and fertilizers in the production of medicinal sources of Lixian rhubarb during the"14 th Five-Year Plan"period.The results will provide a theoretical basis for increasing the promotion and application of agricultural prevention and control(including disease-resistant varieties,ecological regulation),physical prevention and control,biological prevention and control measures,thus ensuring effective protection of the ecological environment,green,healthy and sustainable development of traditional Chinese medicine agriculture in Longnan,and source quality of authentic medicinal materials.

Major Diseases and Pests of Blueberry in Guizhou Province and Progress in Their Prevention and Control

As the blueberry industry continues to evolve,the effective control of its diseases and pests has become an essential component of local agricultural development.This paper provides a comprehensive overview of the principal types of blueberry diseases and pests in Guizhou Province,along with the corresponding control measures,in order to serve as a valuable reference for blueberry growers.

Comprehensive Prevention and Control Technology of Vegetable Diseases and Pests in Shandong Province

An in-depth research and practice has been conducted on vegetable diseases and pests in Shandong Province,and the principles of comprehensive and ecological control of diseases and pests are put forward,including agricultural control measures such as crop rotation,field cleaning,fertilizer and water management,physical control measures such as catching and killing,trapping,blocking,photoelectric energy treatment,biological control measures such as the use of natural enemies,pathogenic microorganisms,other beneficial organisms and metabolites,and scientific and rational chemical control measures.Comprehensive prevention and control not only controls vegetable diseases and pests effectively,but also protects the ecological environment.

Law of Occurrence and the Damage of Main Diseases and Pests in Ligusticum chuanxiong Hort Field

[Objective]The aim was to provide scientific basis for the prevention and treatment of the main diseases and pests. [Method]The systematic investigation was carried out in the process of seedling and field cultivation of Ligusticum chuanxiong. [Result]The main diseases were root rot,Powdery mildew and Spot blight,while the main pests were Epinotia leucantha Meyrick,Prodenia litura Fabr.,Scarabaeoidea,Tetranychus cinnabarinus Boisduval and Delia platura Meigen. [Conclusion]The law of occurrence of main diseases and pests were confirmed.

Effects of Six Cultivation Patterns on Occurrence of Major Diseases and Pests and Yield of Rice

The occurrence rules of major diseases and pests in rice were investigated under six cultivation patterns, i.e., mechanical plowing-artificial transplanting, mechanical plowing-mechanical transplanting, mechanical plowing-scattered transplanting,cattle plowing-artificial transplanting, cattle plowing-mechanical transplanting and cattle plowing-scattered transplanting. The results showed that the six cultivation patterns showed small effects on the occurrence of rice sheath blight, second-generation rice planthopper, rice stem borer and rice false smut, but showed great effects on the occurrence of rice leaf folder, third-and fourth-generation rice planthopper and weeds; there were certain differences in the rice yield among different cultivation patterns, and the rice yield under the pattern of mechanical plowing-mechanical transplanting ranked first, while that under the pattern of cattle plowing-scattered transplanting ranked last.

Construction of Early-warning Model for Plant Diseases and Pests Based on Improved Neural Network

By studying principles and methods related to early-warning model of plant diseases and using PSO method, parameter optimization was conducted to backward propagation neural network, and a pre-warning model for plant diseases based on particle swarm and neural network algorithm was established. The test results showed that the construction of early-warning model is effective and feasible, which will provide a via- ble model structure to establish the effective early-warning platform.

Short-term Prediction of Occurrence Period of Main Diseases and Pests of Flos lonicerae using Phenoecology

The occurrence periods of Semiaphis heraclei Takahashi,Frankliniella sp.,Haptonchus luteolus and Microsphara linicerae Enchson wint.in Rabenh.causing damage on Flos lonicerae were investigated in F.lonicerae planting area in XinCheng county of Guangxi Province during 2008-2010,which were coincided with the occurrence periods of related phenology of local Prunus persica Rootstock.With P.persica Rootstock as indicator plant,the occurrence periods of three species of pests and one species of disease were predicted,respectively,and the method was simple and accurate,which could be the foundation for preventing these pests and diseases in the local field.

Effects of Rice-duck Mutualism on Diseases Insect Pests and Weeds and Economic Benefits

[Objective] Study on the effects of rice-duck mutualism on weeds and insects pests and economic benefits of paddy field. [Method] Comparison of the incidence of weeds, sheath blight and insects pest under rice-duck mutualism, conventional cultivation and control treatment, the yield and economic benefits were analyzed under the 3 treatments. [Result] Average occurrence of weeds in rice-duck mutualism group decreased by 2.33 and 52.0g ind/m^2 compared with that in conventional cultivation and control treatment ; the control rate of mutualism was up to 75% against rice hopper, but just between 25% -60% against rice leaf roller and Chilo suppressalis. The rates of diseased plant and diseased bell against rice sheath blight were higher and disease indices were lower compared with control group. The yield of mutualism group was identical with conventional cultivation, Which was greatly higher than that of control group. The results suggested an higher economic benefits and lower cost benefit ratio for rice-duck mutualism treatment. [Conclusion] Rice-duck mutualism gives birth to a positive effect to control the diseases, insect pests and weeds, as well as to economic benefits, providing basis on extension of rice-duck mutualism system.

Main Diseases and Pests of Lonicerae japonica in Guangxi Province and Fluctuation Pattern of Their Natural Enemies

[ Objective ] The paper was to study the main diseases and pests in Lonicerae japonica in Guangxi Province and fluctuation pattern of their natural ene- mies. [Method] The population change of main diseases and pests, and main predatory naturaI enemies of pests in different species of Lonicerae japonica in Xincheng County of Guangxi Province were systematically investigated during 2008 -2010. [ Result ] The variation cycle of population number of Semiaphis heraclei （Takahashi） belongs to single peak type, and it has large occurrence in April. The variation cycle of population number of Franklinlella sp. and Haptonchus luteo- ius （Erichson） belongs to double peak type, and they have large occurrence at April and September. The variation cycle of disease severity of Microsphaera lonicerae （ Wint. ） belongs to double peak type, and the disease index will be larger at April and September. The variation cycle of diseased shoot rate belongs to single peak type; diseased shoot rote of Lonicera dasystyla Rehd. and Loniccra hvpolzlauca Miquel is relatively high during April to June, while the index of Lonice- ra confusa （Sweet） DC. is relatively high during February to May. The variation cycle of population number of main natural enemies such as Lemnia biplagiata （ Swartz）, Coccinella septcmpunctata （ Linnaeus ） and Harmonia axyridis （Pallas） belongs to double peak type, and they have large occurrence at April and Sep- tember. [ Conclusion] The results could provide scientific basis for determination of optimum control period against major diseases and pests in Loniceraejaponica and development of integrated control programs.

Application of Remote Sensing Technology in Monitoring Forest Diseases and Pests

Forest diseases and pests affect the forest health and forestry production, the monitoring of forest diseases and pests by remote sensing has great advantages and potential. The principles, the technical methods and the main aspects of monitoring forest diseases and pests by remote sensing are described, and the application prospect of this technology is forecasted.

Control Effect of 35% Thiamethoxam-prochloraz FS to Plant Diseases and Insect Pests at Rice Seedling Stage and Safety Evaluation

The prevention and control effect of 35% thiamethoxam-prochloraz FS to rice thrips and rice bakanae disease and its influence on the quality of rice seedlings were studied. The results show that when 100 kg of rice seeds were coated with 200 g of 35% thiamethoxam-prochloraz FS,the control effects to rice thrips were 93.0% and 84.7% 15 and 20 days after sowing, and the control effect to rice bakanae disease was 90.8% 30 days after sowing. As 100 kg of rice seeds were coated with 250 g of 35% thiamethoxam-prochloraz FS, the control effects to rice thrips were 98.2% and 94.9% 15 and 20 days after sowing, and the control ef- fect to rice bakanae disease was 94.6% 30 days after sowing. 35% thiamethoxam- prochloraz FS is safe to rice seedlings and can effectively promote the growth of rice seedlings.

Investigation on Species of Diseases and Pests in Pelargonium graveolens L.Her and Control Technique

[ Objective] The study aimed to confirm species and damage status of the diseases and pests in Pelargonium graveolens L. Her, and explore the control technique of the main pests. [Method] Investigation of pests and diseases was conducted in main growing base of P. graveolens in Guangxi Province during 2007 -2008, and randomized block design was adopted to conduct field efficacy trials. [-Result] There were 22 kinds of pests and 5 kinds of diseases causing damage on P. graveolens, the occurrence peak of main pest P. litura were in June and September. Field control test showed that 5% hexaflumuron SC and 1% emamectin microcapsule suspension had relatively high control effect on P. litura, the control effect all over 88.58% after spraying for 7 d, and the persistent effect was about 14 d. [ Conclusion] The study would provide useful support for disease and oest control in standardized cultivation of P. oraveolens.

Occurrence Dynamics and Control Strategies of Major Pests and Diseases of Sugarcane in Yunnan

In recent years, the occurrence and harm of many kinds of pests and diseases have become increasingly serious in Yunnan sugarcane areas, which have greatly affected the sustained and stable development of sugarcane production, so the situation of their prevention and control has become rigorous. In order to scien- tifically and effectively prevent and control pests and diseases of sugarcane to en- sure the safety of sugarcane production, on the basis of an investigation and re- search, according to the present situation of sugarcane production in Yunnan, the occurrence dynamics of major pests and diseases of sugarcane were analyzed, and corresponding control strategies were proposed according to the major pests and diseases as well as their occurrence and damage characteristics.

Study on Internet-based Expert Prevention System against Diseases, Pests and Weeds of Tumorous Stem Mustard

With the acknowledgement of species, symptoms and control measures for diseases, pests and weeds in tumorous stem mustard, the expert prevention system has been studied and developed based on internct, and the system mainly includes knowledge database, inference engine, browser web and so on. The knowledge database has been established by Micrsoft Access 2003 software; the procedure of inference engine has been compiled by JavaScript; the pages of browser web have been made by Dreamweaver MX software. The expert system is fuR-featured and user-friendly, which can provide control knowledge against the diseases, pests and weeds of tumorous stem mustard for the majority of farmers, scientific technological person and grass-roots level managers quickly and conveniently,

Copper homeostasis and neurodegenerative diseases

Copper,one of the most prolific transition metals in the body,is required for normal brain physiological activity and allows various functions to work normally through its range of concentrations.Copper homeostasis is meticulously maintained through a complex network of copper-dependent proteins,including copper transporters(CTR1 and CTR2),the two copper ion transporters the Cu-transporting ATPase 1(ATP7A)and Cu-transporting beta(ATP7B),and the three copper chaperones ATOX1,CCS,and COX17.Disruptions in copper homeostasis can lead to either the deficiency or accumulation of copper in brain tissue.Emerging evidence suggests that abnormal copper metabolism or copper binding to various proteins,including ceruloplasmin and metallothionein,is involved in the pathogenesis of neurodegenerative disorders.However,the exact mechanisms underlying these processes are not known.Copper is a potent oxidant that increases reactive oxygen species production and promotes oxidative stress.Elevated reactive oxygen species levels may further compromise mitochondrial integrity and cause mitochondrial dysfunction.Reactive oxygen species serve as key signaling molecules in copper-induced neuroinflammation,with elevated levels activating several critical inflammatory pathways.Additionally,copper can bind aberrantly to several neuronal proteins,including alphasynuclein,tau,superoxide dismutase 1,and huntingtin,thereby inducing neurotoxicity and ultimately cell death.This study focuses on the latest literature evaluating the role of copper in neurodegenerative diseases,with a particular focus on copper-containing metalloenzymes and copper-binding proteins in the regulation of copper homeostasis and their involvement in neurodegenerative disease pathogenesis.By synthesizing the current findings on the functions of copper in oxidative stress,neuroinflammation,mitochondrial dysfunction,and protein misfolding,we aim to elucidate the mechanisms by which copper contributes to a wide range of hereditary and neuronal disorders,such as Wilson's disease,Menkes'disease,Alzheimer's disease,Parkinson's disease,amyotrophic lateral sclerosis,Huntington's disease,and multiple sclerosis.Potential clinically significant therapeutic targets,including superoxide dismutase 1,D-penicillamine,and 5,7-dichloro-2-[(dimethylamino)methyl]-8-hydroxyquinoline,along with their associated therapeutic agents,are further discussed.Ultimately,we collate evidence that copper homeostasis may function in the underlying etiology of several neurodegenerative diseases and offer novel insights into the potential prevention and treatment of these diseases based on copper homeostasis.

Toward understanding the role of genomic repeat elements in neurodegenerative diseases

Neurodegenerative diseases cause great medical and economic burdens for both patients and society;however, the complex molecular mechanisms thereof are not yet well understood. With the development of high-coverage sequencing technology, researchers have started to notice that genomic repeat regions, previously neglected in search of disease culprits, are active contributors to multiple neurodegenerative diseases. In this review, we describe the association between repeat element variants and multiple degenerative diseases through genome-wide association studies and targeted sequencing. We discuss the identification of disease-relevant repeat element variants, further powered by the advancement of long-read sequencing technologies and their related tools, and summarize recent findings in the molecular mechanisms of repeat element variants in brain degeneration, such as those causing transcriptional silencing or RNA-mediated gain of toxic function. Furthermore, we describe how in silico predictions using innovative computational models, such as deep learning language models, could enhance and accelerate our understanding of the functional impact of repeat element variants. Finally, we discuss future directions to advance current findings for a better understanding of neurodegenerative diseases and the clinical applications of genomic repeat elements.

Pyrroloquinoline quinone:a potential neuroprotective compound for neurodegenerative diseases targeting metabolism

Pyrroloquinoline quinone is a quinone described as a cofactor for many bacterial dehydrogenases and is reported to exert an effect on metabolism in mammalian cells/tissues.Pyrroloquinoline quinone is present in the diet being available in foodstuffs,conferring the potential of this compound to be supplemented by dietary administration.Pyrroloquinoline quinone’s nutritional role in mammalian health is supported by the extensive deficits in reproduction,growth,and immunity resulting from the dietary absence of pyrroloquinoline quinone,and as such,pyrroloquinoline quinone has been considered as a“new vitamin.”Although the classification of pyrroloquinoline quinone as a vitamin needs to be properly established,the wide range of benefits for health provided has been reported in many studies.In this respect,pyrroloquinoline quinone seems to be particularly involved in regulating cell signaling pathways that promote metabolic and mitochondrial processes in many experimental contexts,thus dictating the rationale to consider pyrroloquinoline quinone as a vital compound for mammalian life.Through the regulation of different metabolic mechanisms,pyrroloquinoline quinone may improve clinical deficits where dysfunctional metabolism and mitochondrial activity contribute to induce cell damage and death.Pyrroloquinoline quinone has been demonstrated to have neuroprotective properties in different experimental models of neurodegeneration,although the link between pyrroloquinoline quinone-promoted metabolism and improved neuronal viability in some of such contexts is still to be fully elucidated.Here,we review the general properties of pyrroloquinoline quinone and its capacity to modulate metabolic and mitochondrial mechanisms in physiological contexts.In addition,we analyze the neuroprotective properties of pyrroloquinoline quinone in different neurodegenerative conditions and consider future perspectives for pyrroloquinoline quinone’s potential in health and disease.