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Temporal dynamics of guava root-knot nematode under the effect of different management methods 不同管理方法影响下番石榴根结线虫的时间动态变化
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-11-04 DOI: 10.1016/j.cropro.2024.107012
Isadora Rodrigues Garcia Gondo , Matheus Ricardo da Rocha , Cayo Yoshihiro Gondo , Kaique dos Santos Alves , Breno Benvindo dos Anjos , Simone de Paiva Caetano Bucker Moraes , Guilherme de Rezende Camara , Moises Zucoloto , Dimmy Herllen Silveira Gomes Barbosa , Fábio Ramos Alves , André da Silva Xavier , Samuel de Assis Silva , Willian Bucker Moraes
{"title":"Temporal dynamics of guava root-knot nematode under the effect of different management methods","authors":"Isadora Rodrigues Garcia Gondo ,&nbsp;Matheus Ricardo da Rocha ,&nbsp;Cayo Yoshihiro Gondo ,&nbsp;Kaique dos Santos Alves ,&nbsp;Breno Benvindo dos Anjos ,&nbsp;Simone de Paiva Caetano Bucker Moraes ,&nbsp;Guilherme de Rezende Camara ,&nbsp;Moises Zucoloto ,&nbsp;Dimmy Herllen Silveira Gomes Barbosa ,&nbsp;Fábio Ramos Alves ,&nbsp;André da Silva Xavier ,&nbsp;Samuel de Assis Silva ,&nbsp;Willian Bucker Moraes","doi":"10.1016/j.cropro.2024.107012","DOIUrl":"10.1016/j.cropro.2024.107012","url":null,"abstract":"<div><div>Guava, <em>Psidium guajava</em> L., is one of the most produced fruit trees in tropical and subtropical regions but the presence of <em>Meloidogyne enterelobii</em> Yang &amp; Eisenback (Order: Tylenchida, Family: Heteroderidae) in orchards reduces fruit productivity by up to 65%, justifying integrated management programs constantly searching for methods for its efficient and sustainable control. Thus, this study aimed to investigate the potential of chemical, biological, and resistance induction control methods to reduce the variables associated with <em>M. enterelobii</em> in guava orchards. This study was conducted in two areas with guava trees (cv. Paluma) naturally infested with <em>M. enterelobii</em> populations. Commercial doses of products based on <em>Trichoderma harzianum</em> (TRI), <em>Ascophyllum nodosum</em> + potassium hydroxide (EG), and fluensulfone (NI) were applied alone and in interactions in seven treatments + control. Soil and root samples from each treatment were collected monthly and the number of <em>M. entorolobii</em>eggs and individuals and normalized difference vegetation indices were quantified. Analyses conducted on R found that the joint use of TRI + EG reduced <em>M. entorolobii</em> by up to 50% at the soil level, further decreasing reproduction factors and that TRI obtained a 59% reduction at the soil level. Treatments with EG showed higher average productions. These results justify the importance of alternative methods and their possible association with chemicals to manage guava root-knot nematodes.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107012"},"PeriodicalIF":2.5,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of semiochemical pre-feeding, physiological state, and weather on the response of Bactrocera dorsalis to methyl eugenol baited traps 半化学预喂食、生理状态和天气对 Bactrocera dorsalis 对甲基丁香酚诱饵诱捕器反应的影响
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-11-03 DOI: 10.1016/j.cropro.2024.107015
Tania Pogue , Kevin Malod , Christopher W. Weldon
{"title":"Effects of semiochemical pre-feeding, physiological state, and weather on the response of Bactrocera dorsalis to methyl eugenol baited traps","authors":"Tania Pogue ,&nbsp;Kevin Malod ,&nbsp;Christopher W. Weldon","doi":"10.1016/j.cropro.2024.107015","DOIUrl":"10.1016/j.cropro.2024.107015","url":null,"abstract":"<div><div>Plant-derived phenylpropanoids are semiochemicals that are often highly attractive to <em>Bactrocera</em> (Diptera: Tephritidae) males. One of these semiochemicals, methyl eugenol (ME), is used in the male annihilation technique (MAT) for the management of <em>B. dorsalis</em> (Hendel), a destructive horticultural pest. It is not normally viable to simultaneously implement MAT with the sterile insect technique (SIT), as released sterile males are attracted to MAT devices. However, prior semiochemical exposure can reduce the later response of <em>Bactrocera</em> males to the same or another semiochemical, which may allow the synchronous application of MAT and SIT. We determined how the interaction between semiochemical pre-feeding, weather, and fly physiology impacted the response of male <em>B. dorsalis</em> to ME baited traps. Response by a known number of males in field cages was determined in relation to temperature, relative humidity, semiochemical pre-feeding (ME, eugenol, or none), diet (protein supplemented and protein deprived) and age (4, 10 and 20 days old). Semiochemical pre-feeding of both ME and eugenol equally decreased the response of males that were 10 days old, or older, to ME baited traps. Adult diet had no effect on the response of males to ME baited traps. Response improved as temperature and relative humidity increased. These results highlight the feasibility of synchronous MAT-SIT programmes targeting <em>B. dorsalis</em> and the viability of continued protein supplementation of sterile males. We show that eugenol is an alternative to ME for suppression of male <em>B. dorsalis</em> response to MAT devices and that weather conditions significantly affect the variability and reliability of abundance estimates from trap captures.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107015"},"PeriodicalIF":2.5,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identification and characterization of Alternaria spp. causing leaf blotch on Salix matsudana: A study from Rudong city, China 导致沙柳叶斑病的 Alternaria spp.的鉴定和特征描述:中国如东的一项研究
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-11-01 DOI: 10.1016/j.cropro.2024.107014
Yi-Lin Chen , Bing-Yao Peng , Yu Wan , De-Wei Li , Li-Hua Zhu
{"title":"Identification and characterization of Alternaria spp. causing leaf blotch on Salix matsudana: A study from Rudong city, China","authors":"Yi-Lin Chen ,&nbsp;Bing-Yao Peng ,&nbsp;Yu Wan ,&nbsp;De-Wei Li ,&nbsp;Li-Hua Zhu","doi":"10.1016/j.cropro.2024.107014","DOIUrl":"10.1016/j.cropro.2024.107014","url":null,"abstract":"<div><div><em>Salix matsudana</em> Koidz. is a popular ornamental tree in China and extensively cultured throughout Asia. It is renowned for its remarkable adaptability to challenging conditions, high biomass, rapid growth, and flood tolerances. In October 2022, a leaf blotch disease was observed in Rudong City, Jiangsu, China. This disease significantly impacted the ornamental and ecological value of the host tree. Fungal isolates, obtained from symptomatic leaves, were confirmed to be pathogenic to <em>S. matsudana</em> following pathogenicity tests. Phylogenetic analysis using seven loci (ITS, <em>SSU</em>, <em>RPB</em>2, <em>LSU</em>, <em>ALTα-1</em>, <em>TEF1-α</em> and <em>GAPDH</em>) and morphological characterization of the nine isolates revealed that they belonged to <em>Alternaria alternata</em>, <em>Alternaria arborescens</em>, and <em>Alternaria koreana</em>. This study represents the first study of <em>Alternaria</em> causing leaf blotch in <em>S. matsudana</em>. It provides valuable insights for disease management and enhances our understanding of <em>Alternaria</em> species diversity in China.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107014"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing management interventions against Sclerotium rolfsii Sacc. On elephant foot yam (Amorphophallus paeoniifolius (Dennst.) Nicolson) in India 优化针对印度象脚山药(Amorphophallus paeoniifolius (Dennst. Nicolson))硬根菌(Sclerotium rolfsii Sacc.在印度象脚薯上(Amorphophallus paeoniifolius (Dennst.)Nicolson
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-11-01 DOI: 10.1016/j.cropro.2024.107013
S.S. Veena , J. Sreekumar , M.L. Jeeva , G. Byju , G. Suja , S. Sengupta , C. Thangamani , Padmakshi Thakur , Ashish Narayan , Pradnya S. Gudadhe , S. Sunitha
{"title":"Optimizing management interventions against Sclerotium rolfsii Sacc. On elephant foot yam (Amorphophallus paeoniifolius (Dennst.) Nicolson) in India","authors":"S.S. Veena ,&nbsp;J. Sreekumar ,&nbsp;M.L. Jeeva ,&nbsp;G. Byju ,&nbsp;G. Suja ,&nbsp;S. Sengupta ,&nbsp;C. Thangamani ,&nbsp;Padmakshi Thakur ,&nbsp;Ashish Narayan ,&nbsp;Pradnya S. Gudadhe ,&nbsp;S. Sunitha","doi":"10.1016/j.cropro.2024.107013","DOIUrl":"10.1016/j.cropro.2024.107013","url":null,"abstract":"<div><div>Collar rot, caused by the fungus <em>Sclerotium rolfsii</em>, is the most widespread and devastating disease affecting elephant foot yam (EFY), leading to significant yield loss. In addition to causing economic damage, high disease incidence results in postharvest rot and a lack of quality planting material for the next season. The increasing incidence of collar rot in the past decade is alarming, and existing management practices have not effectively controlled the pathogen. Therefore, there was an urgent need to develop an effective management strategy to mitigate crop loss. The combination of fungicide, Carbendazim + Mancozeb, bio-agents <em>Trichoderma asperellum</em> and <em>Bacillus amyloliquefaciens</em>, showed high inhibition in lab studies. A preliminary field trial was conducted with these selected bio-agents and fungicide, in addition to the organic amendment vermicompost. Based on the results of the preliminary field trial and another study on managing postharvest rot in elephant foot yam, treatments were finalized, and field trials were conducted over 3 years at ICAR-CTCRI. These results were further validated by testing the same treatments in five states of India. Dipping the corms in a combination fungicide (Carbendazim 12% + Mancozeb 63% WP) for 10 min before storage, treating the corms with cow dung slurry enriched with <em>T. asperellum</em> at 5 g/kg corm three days before planting, and drenching the plant base twice with the same fungicide resulted in the lowest disease incidence (3.19%) and highest yield (36.70 t ha⁻<sup>1</sup>) compared to 12.85% disease incidence and 28.37 t ha⁻<sup>1</sup> yield in the control.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107013"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Validation of degree day threshold for Delia platura first emergence in New York State 验证纽约州 Delia platura 首次出现的度日阈值
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-10-31 DOI: 10.1016/j.cropro.2024.107011
Chloe Yi-Luo Cho , Shea Crowther , Alexa Stratton , Dan Olmstead , Katja Poveda
{"title":"Validation of degree day threshold for Delia platura first emergence in New York State","authors":"Chloe Yi-Luo Cho ,&nbsp;Shea Crowther ,&nbsp;Alexa Stratton ,&nbsp;Dan Olmstead ,&nbsp;Katja Poveda","doi":"10.1016/j.cropro.2024.107011","DOIUrl":"10.1016/j.cropro.2024.107011","url":null,"abstract":"<div><div>Seedcorn maggot <em>(Delia platura)</em> is a globally distributed agricultural pest that feeds on the germinating seeds of economically important crops, including corn and beans. The larvae cause underground damage, which can lead to stand loss. For decades, <em>D. platura</em> has been managed using insecticide-coated seeds, but following the ban on neonicotinoid-coated corn, soy, and wheat seeds in New York State, this practice will no longer be available. Degree day models have been used to predict the emergence of the overwintering generation of agricultural pests since the late 1900s. However, the terminology used in the literature to distinguish degree day thresholds for first emergence and peak emergence is unclear, and previous reports of a 360 degree day emergence threshold did not align with field observations. In 2023, we captured the first emergence at four sites, and in 2024, we monitored adult <em>D. platura</em> at 25 sites in New York State. We observed the first adult emergence between 52 and 197 accumulated degree days (98 ± 7 degree days, mean ± 1 SE) using a biofix of January 1st, confirming that in New York State, <em>D. platura</em> emergence is earlier than previously reported values. Additionally, we note adult activity during December 2023 and January 2024, suggesting that warming winters may impact our ability to predict pest emergence. We propose future models should incorporate both degree day information and other regionally specific factors known to impact pests, including farm management, soil conditions, and landscape composition, for more accurate predictions.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107011"},"PeriodicalIF":2.5,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Citrus huanglongbing detection: A hyperspectral data-driven model integrating feature band selection with machine learning algorithms 柑橘黄龙病检测:将特征波段选择与机器学习算法相结合的高光谱数据驱动模型
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-10-30 DOI: 10.1016/j.cropro.2024.107008
Kangting Yan , Xiaobing Song , Jing Yang , Junqi Xiao , Xidan Xu , Jun Guo , Hongyun Zhu , Yubin Lan , Yali Zhang
{"title":"Citrus huanglongbing detection: A hyperspectral data-driven model integrating feature band selection with machine learning algorithms","authors":"Kangting Yan ,&nbsp;Xiaobing Song ,&nbsp;Jing Yang ,&nbsp;Junqi Xiao ,&nbsp;Xidan Xu ,&nbsp;Jun Guo ,&nbsp;Hongyun Zhu ,&nbsp;Yubin Lan ,&nbsp;Yali Zhang","doi":"10.1016/j.cropro.2024.107008","DOIUrl":"10.1016/j.cropro.2024.107008","url":null,"abstract":"<div><div>This study explored rapid detection techniques for citrus Huanglongbing (HLB), a disease that severely impacts global citrus production. The method based on hyperspectral technology combined with machine learning algorithms provides new ideas for rapid HLB identification. Algorithm selection is crucial for processing efficiency and hyperspectral data interpretation. Hyperspectral data from healthy, mild HLB-infected, and macular (not related to HLB) citrus leaves were captured using a hyperspectrometer, with qPCR validation. Three preprocessing methods were selected to preprocess the spectral data. Competitive Adaptive Reweighted Sampling (CARS) and Successive Projections Algorithm (SPA) were used to extract feature bands from the hyperspectral data, and the range of the number of filtered feature bands as a percentage of the full band was 22.87%–28.31% and 3.27%–4.17%, respectively. Five distinct algorithms were then employed to construct classification models. Upon evaluation, the SPA-STD-SVM algorithm combination proved most effective, boasting a 97.46% accuracy and a 98.55% recall rate. The results demonstrate that suitable machine learning algorithms can effectively classify the hyperspectral data of citrus leaves in three different states: healthy, mild HLB-infected, and macular. This provides an effective approach for using hyperspectral data to differentiate citrus Huanglongbing.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107008"},"PeriodicalIF":2.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Potential biopesticides from Datura alba and Calotropis gigantea: Extraction, analysis, and reported compounds 曼陀罗和菖蒲中的潜在生物杀虫剂:提取、分析和报告的化合物
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-10-30 DOI: 10.1016/j.cropro.2024.107009
Rahim Ullah, Susanne K. Wiedmer
{"title":"Potential biopesticides from Datura alba and Calotropis gigantea: Extraction, analysis, and reported compounds","authors":"Rahim Ullah,&nbsp;Susanne K. Wiedmer","doi":"10.1016/j.cropro.2024.107009","DOIUrl":"10.1016/j.cropro.2024.107009","url":null,"abstract":"<div><div>The growing demand for eco-friendly bio-based agrochemicals with lower health hazards and optimal pest management options boosts the production and utilization of biopesticides. This review provides a comprehensive overview of two toxic weed species <em>Datura alba (Solanaceae</em> family), and <em>Calotropis gigantea (Asclepiadaceae</em> family) with a specific focus on extraction with various solvents, phytochemistry, and biopesticidal activities. The data presented in this article shows that these two toxic weeds species have been studied and reported for biopesticidal activities like antifeedant, ovicidal, insecticidal, larvicidal, antibacterial, and repelling ability against various insects/crop pests. Phytochemical analysis shows that these two weed species have distinct biochemical profiles. However, studies lack systematic screening of the biochemical profiles. In addition, the review highlights the gaps in previous research and suggests that there is a need for well-detailed phytochemical profiling, spectrum of action and mode of action for the future use of these weed plants in the development of biological control agents.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107009"},"PeriodicalIF":2.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adding non-crop plants enhances parasitoid fitness on potato plants, but not pest densities 添加非作物植物可提高寄生虫对马铃薯植株的适应性,但不能提高害虫密度
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-10-30 DOI: 10.1016/j.cropro.2024.107010
Yusha Wang , Yongping Zhou , Ruwen Li , Ambreen Masqsood , Hongsong Chen , Zhenqiang Qin , Jingfang Yang , Jiali Zhang , Lin Jing , Huihua Tan , Zhongshi Zhou
{"title":"Adding non-crop plants enhances parasitoid fitness on potato plants, but not pest densities","authors":"Yusha Wang ,&nbsp;Yongping Zhou ,&nbsp;Ruwen Li ,&nbsp;Ambreen Masqsood ,&nbsp;Hongsong Chen ,&nbsp;Zhenqiang Qin ,&nbsp;Jingfang Yang ,&nbsp;Jiali Zhang ,&nbsp;Lin Jing ,&nbsp;Huihua Tan ,&nbsp;Zhongshi Zhou","doi":"10.1016/j.cropro.2024.107010","DOIUrl":"10.1016/j.cropro.2024.107010","url":null,"abstract":"<div><div>Conservation biological control (CBC) aims to enhance pest regulation/suppression by intentionally attracting, retaining, and promoting the fitness and effectiveness of natural enemies. Due to carbohydrate sources being highly limited in agroecosystems, providing alternative carbohydrate sources (i.e., nectar sugars, starches) can enhance the survival, fecundity, and effectiveness of natural enemies. Under laboratory conditions, we analyzed five flowering non-crop plant species in habitat management on the longevity, egg load, and reproductive performance of the parasitoid, <em>Aenasirus bambawalei</em> Hayat (Hymenoptera: Encyrtidae), a key natural enemy of mealybug <em>Phenacoccus solenopsis</em> (Hemiptera: Pseudococcidae). Moreover, we measured the influence of the flowering candidates on the host preference and population growth of <em>P. solenopsis</em>. All five flowering non-crop plant species, <em>Fagopyrum esculentum</em> (Polygonaceae), <em>Tagetes erecta</em> (Asteraceae), <em>Vicia faba</em> (Fabaceae), <em>Lobularia maritima</em> (Brassicaceae), and <em>Coriandrum sativum</em> (Apiaceae) promoted the longevity and egg load of <em>A. bambawalei</em> when compared with water only. However, only the females fed on <em>F. esculentum</em>, <em>V. faba,</em> and <em>L. maritima</em> produced 16% and 13% higher total offspring and female offspring than on water, respectively. None of these five non-crop plant species increased the population of mealybugs on crop plants or in the overall system (non-crop plants + crop plants), and there was no significant difference in their abundance across the five different plant combinations. All five flowering candidates positively affected the longevity and/or reproductive capabilities of <em>A. bambawalei</em> without causing an increase in the population of mealybugs on crop plants.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107010"},"PeriodicalIF":2.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Small-sample cucumber disease identification based on multimodal self-supervised learning 基于多模态自监督学习的小样本黄瓜病害识别
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-10-30 DOI: 10.1016/j.cropro.2024.107006
Yiyi Cao , Guangling Sun , Yuan Yuan , Lei Chen
{"title":"Small-sample cucumber disease identification based on multimodal self-supervised learning","authors":"Yiyi Cao ,&nbsp;Guangling Sun ,&nbsp;Yuan Yuan ,&nbsp;Lei Chen","doi":"10.1016/j.cropro.2024.107006","DOIUrl":"10.1016/j.cropro.2024.107006","url":null,"abstract":"<div><div>It is difficult and costly to obtain large-scale, labeled crop disease data in the field of agriculture. How to use small samples of unlabeled data for feature learning has become an urgent problem that needs to be solved. The emergence of self-supervised contrastive learning methods and self-supervised mask learning methods can solve the problem of missing labels on the training data. However, each of these paradigms comes with its own advantages and drawbacks. At the same time, the features learned by dataset in a single modality are limited, ignoring the correlation with other modal information. Hence, this paper introduced an effective framework for multimodal self-supervised learning, denoted as MMSSL, to address the task of identifying cucumber diseases with small sample sizes. Integrating image self-supervised mask learning, image self-supervised contrastive learning, and multimodal image-text contrastive learning, the model can not only learn disease feature information from different modalities, but also capture global and local disease feature information. Simultaneously, the mask learning branch was enhanced by introducing a prompt learning module based on a cross-attention network. This module aided in approximately locating the masked regions in the image data in advance, facilitating the decoder in making accurate decoding predictions. Experimental results demonstrate that the proposed method achieves a 95% accuracy in cucumber disease identification in the absence of labels. The approach effectively uncovers high-level semantic features within multimodal small-sample cucumber disease data. GradCAM is also employed for visual analysis to further understand the decision-making process of the model in disease identification. In conclusion, the proposed method in this paper is advantageous for enhancing the classification accuracy of small-sample cucumber data in a multimodal, unlabeled context, demonstrating good generalization performance.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107006"},"PeriodicalIF":2.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Labor-saving application of thifluzamide and tricyclazole to seedling trays for integrated control of rice blast and sheath blight 在秧盘中施用噻虫嗪和三环唑综合防治稻瘟病和鞘枯病,节省劳动力
IF 2.5 2区 农林科学
Crop Protection Pub Date : 2024-10-29 DOI: 10.1016/j.cropro.2024.107004
Xugen Shi , Kang Qiao , Yong Zhang , Shouan Zhang , Yong Liu , Xianpeng Zhang , Baotong Li , Ruqiang Cui
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