An Improved Lightweight YOLOv5 Algorithm for Detecting Strawberry Diseases DOI Creative Commons
Shunlong Chen, Yinghua Liao, Feng Lin

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 54080 - 54092

Опубликована: Янв. 1, 2023

This paper proposes an improved lightweight YOLOv5 model for the real-time detection of strawberry diseases. The ghost convolution (GhostConv) module is incorporated into network, reducing parameter numbers and floating-point operations (FLOPs) extracting feature information using backbone network. An involution operator utilized in network to expand receptive field, enhance spatial on disease characteristics, reduce number FLOPs model. A convolutional block attention (CBAM) network's ability extract features suppress non-critical information. upsampling replaced by a called Content-Aware ReAssembly Features (CARAFE), which extracts map enhances focus features. experimental results open-source dataset show that achieves mean average precision (mAP)@0.5 94.7% with 3.9 M parameters 3.6 G FLOPs. has higher than original one lower hardware requirements, providing new strategy identification control.

Язык: Английский

Plant–Fungi Interactions: Where It Goes? DOI Creative Commons
Alviti Kankanamalage Hasith Priyashantha, Dong-Qin Dai, D. Jayarama Bhat

и другие.

Biology, Год журнала: 2023, Номер 12(6), С. 809 - 809

Опубликована: Июнь 2, 2023

Fungi live different lifestyles—including pathogenic and symbiotic—by interacting with living plants. Recently, there has been a substantial increase in the study of phytopathogenic fungi their interactions Symbiotic relationships plants appear to be lagging behind, although progressive. Phytopathogenic cause diseases put pressure on survival. Plants fight back against such pathogens through complicated self-defense mechanisms. However, develop virulent responses overcome plant defense reactions, thus continuing deteriorative impacts. positively influence both fungi. More interestingly, they also help protect themselves from pathogens. In light nonstop discovery novel strains, it is imperative pay more attention plant–fungi interactions. Both are responsive environmental changes, therefore construction interaction effects emerged as new field study. this review, we first attempt highlight evolutionary aspect interactions, then mechanism avoid negative impact fungi, fungal strategies defensive once have invaded, finally changes under conditions.

Язык: Английский

Процитировано

30
Bacillus proteolyticus OSUB18 triggers induced systemic resistance against bacterial and fungal pathogens in Arabidopsis DOI Creative Commons

Piao Yang,

Zhenzhen Zhao, Jiangbo Fan

и другие.

Frontiers in Plant Science, Год журнала: 2023, Номер 14

Опубликована: Янв. 23, 2023

Pseudomonas syringae and Botrytis cinerea cause destructive bacterial speck grey mold diseases in many plant species, leading to substantial economic losses agricultural production. Our study discovered that the application of Bacillus proteolyticus strain OSUB18 as a root-drench enhanced resistance Arabidopsis plants against P. B. through activating Induced Systemic Resistance (ISR). The underlying mechanisms by which activates ISR were studied. results revealed with showed callose deposition ROS production when inoculated pathogens, respectively. Also, increased salicylic acid (SA) levels detected root-drenched compared water after infection. In contrast, produced significantly higher jasmonyl isoleucine (JA-Ile) than control qRT-PCR analyses indicated ISR-responsive gene MYC2 ROS-responsive RBOHD upregulated upon both pathogen infections controls. twenty-four hours or fungal inoculation, expression SA-related genes (PR1, PR2, PR5, EDS5, SID2) JA-related (PDF1.2, LOX3, JAR1 COI1), respectively, consistent related hormone these two different infections. Moreover, can trigger jar1 sid2 mutants but not myc2 npr1 mutants, depending on pathogen's lifestyles. addition, prompted acetoin, was reported novel rhizobacterial elicitor. summary, our studies discover is inducer primes plants' pathogens enhancing accumulation, increasing specific phytohormones other metabolites involved defense, elevating multiple defense genes.

Язык: Английский

Процитировано

28
Digital twins for selecting the optimal ventilated strawberry packaging based on the unique hygrothermal conditions of a shipment from farm to retailer DOI Creative Commons

Chandrima Shrivastava,

Seraina Schudel, Kanaha Shoji

и другие.

Postharvest Biology and Technology, Год журнала: 2023, Номер 199, С. 112283 - 112283

Опубликована: Фев. 20, 2023

Berries are one of the most challenging products to preserve after harvest due their high perishability and short shelf life. Ventilated packaging plays a key role in maintaining fruit quality along supply chain. However, every chain is composed different unit operations, shipment encounters unique hygrothermal conditions such as air temperature fluctuations over time, sub-optimal humidity conditions, risk condensation. Therefore, has an optimal that provides best climate ventilation fruit. Given vast space potential scenarios configurations, in-silico studies attractive alternative for selecting this packaging. In study, we developed physics-based digital twins ventilated strawberries. We utilized measured data from actual farm retail store. With these twins, mimicked how strawberries evolve hygrothermally, physiologically, microbiologically inside 21 types predicted actionable metrics life packages. These include total mass loss, putative mold infection Botrytis cinerea, retention time condensate, remaining based on respiration, transpiration, growth. addition, analyzed impact package-related metrics, vent area, degree filling, pressure drop across package, seven-eighths cooling metrics. approach, pinpointed critical loss points package. identified package performs balancing three-way trade-off between respiration-driven biochemical life, transpiration-driven physical growth-driven microbial Our findings showed performance open trays comparable clamshells, long maintained Flow-wrapped packages presented highest condensation also quantified spatial heterogeneity within highlighted vulnerable locations each type. study presents novel, holistic approach select retailer its fingerprint. This can help reduce food contribute towards making chains smart efficient.

Язык: Английский

Процитировано

26
Changes in quality and microbiome composition of strawberry fruits following postharvest application of Debaryomyces hansenii, a yeast biocontrol agent DOI
Lina Zhao,

Yali Zhou,

Luyi Liang

и другие.

Postharvest Biology and Technology, Год журнала: 2023, Номер 202, С. 112379 - 112379

Опубликована: Май 4, 2023

Язык: Английский

Процитировано

26
An Improved Lightweight YOLOv5 Algorithm for Detecting Strawberry Diseases DOI Creative Commons
Shunlong Chen, Yinghua Liao, Feng Lin

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 54080 - 54092

Опубликована: Янв. 1, 2023

This paper proposes an improved lightweight YOLOv5 model for the real-time detection of strawberry diseases. The ghost convolution (GhostConv) module is incorporated into network, reducing parameter numbers and floating-point operations (FLOPs) extracting feature information using backbone network. An involution operator utilized in network to expand receptive field, enhance spatial on disease characteristics, reduce number FLOPs model. A convolutional block attention (CBAM) network's ability extract features suppress non-critical information. upsampling replaced by a called Content-Aware ReAssembly Features (CARAFE), which extracts map enhances focus features. experimental results open-source dataset show that achieves mean average precision (mAP)@0.5 94.7% with 3.9 M parameters 3.6 G FLOPs. has higher than original one lower hardware requirements, providing new strategy identification control.

Язык: Английский

Процитировано

23