Identification of Leaf Blast and Brown Spot Diseases on Rice Leaf with YOLO Algorithm

2021 ◽  
Author(s):  
Ma. Kristin Agbulos ◽  
Yovito Sarmiento ◽  
Jocelyn Villaverde
Keyword(s):  
Brown Spot ◽  
Leaf Blast ◽  
Rice Leaf

scholarly journals Spatiotemporal Survey of Multiple Rice Diseases in Irrigated Areas Compared to Rainfed Lowlands in the Western Burkina Faso

Plant Disease ◽  
2021 ◽  
Author(s):  
Mariam Barro ◽  
Abalo Itolou Kassankogno ◽  
Issa Wonni ◽  
Drissa SEREME ◽  
Irénée SOMDA ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Fungal Pathogens ◽  
Management Practices ◽  
Brown Spot ◽  
Leaf Blast ◽  
Rice Leaf ◽  
Yellow Mottle ◽  
Rice Leaf Blast ◽  
Study Sites ◽  
Western Burkina Faso

Multiple constraints affect rice yields and global production in West Africa. Among these constraints are viral, bacterial and fungal pathogens. We aimed to describe the spatiotemporal patterns of occurrence and incidence of multiple rice diseases in farmers’ fields in contrasting rice growing systems in western Burkina Faso. For this purpose, we selected a set of three pairs of sites, each comprising an irrigated area and a neighboring rainfed lowland, and studied them over four consecutive years. We first performed interviews with the rice farmers to better characterize the management practices at the different sites. This study revealed that the transplanting of rice and the possibility of growing rice twice a year are restricted to irrigated areas, while other practices, such as the use of registered rice cultivars, fertilization and pesticides, are not specific but differ between the two rice growing systems. Then, we performed symptom observations at these study sites to monitor the following four diseases: yellow mottle disease, Bacterial Leaf Streak (BLS), rice leaf blast and brown spot. The infection rates were found to be higher in irrigated areas than in rainfed lowlands, both when analyzing all observed symptoms together (any of the four diseases) and when specifically considering each of the two diseases: BLS and rice leaf blast. Brown spot was particularly prevalent in all six study sites, while yellow mottle disease was particularly structured geographically. Various diseases were frequently found together in the same field (co-occurrence) or even on the same plant (coinfection), especially in irrigated areas.

scholarly journals Behavior of Tricyclazole Residue on Rice Leaves and Its Efficacy for Rice Leaf Blast Control in the Field.

1992 ◽  
Vol 58 (2) ◽  
pp. 259-266 ◽  
Author(s):  
Kiyoshi ISHIGURO ◽  
Seiichi TAKECHI ◽  
Akira HASHIMOTO
Keyword(s):  
Leaf Blast ◽  
Rice Leaf ◽  
Rice Leaves ◽  
Rice Leaf Blast

scholarly journals Research Priorities for Rice Pest Management in Tropical Asia: A Simulation Analysis of Yield Losses and Management Efficiencies

2004 ◽  
Vol 94 (7) ◽  
pp. 672-682 ◽  
Author(s):  
Laetitia Willocquet ◽  
Francisco A. Elazegui ◽  
Nancy Castilla ◽  
Luzviminda Fernandez ◽  
Kenneth S. Fischer ◽  
...  
Keyword(s):  
Pest Management ◽  
Management Strategies ◽  
Research Priorities ◽  
Sheath Blight ◽  
Brown Spot ◽  
Yield Losses ◽  
Leaf Blast ◽  
Tropical Asia ◽  
Neck Blast ◽  
Rice Pest

A simulation study was conducted to assess the current and prospective efficiency of rice pest management and develop research priorities for lowland production situations in tropical Asia. Simulation modeling with the RICEPEST model provided the flexibility required to address varying production situations and diverse pest profiles (bacterial leaf blight, sheath blight, brown spot, leaf blast, neck blast, sheath rot, white heads, dead hearts, brown plant-hoppers, insect defoliators, and weeds). Operational definitions for management efficacy (injury reduction) and management efficiency (yield gain) were developed. This approach enabled the modeling of scenarios pertaining to different pest management strategies within the agroecological contexts of rice production and their associated pest injuries. Rice pests could be classified into two broad research priority-setting categories with respect to simulated yield losses and management efficiencies. One group, including weeds, sheath blight, and brown spot, consists of pests for which effective pest management tools need to be developed. The second group consists of leaf blast, neck blast, bacterial leaf blight, and brown plant-hoppers, for which the efficiency of current management methods is to be maintained. Simulated yield losses in future production situations indicated that a new type of rice plant with high-harvest index and high-biomass production (“New Plant Type”) was more vulnerable to pests than hybrid rice. Simulations also indicated that the impact of deployment of host resistance (e.g., through genetic engineering) was much larger when targeted against sheath blight than when targeted against stem borers. Simulated yield losses for combinations of production situations and injury profiles that dominate current lowland rice production in tropical Asia ranged from 140 to 230 g m-2. For these combinations, the simulated efficiency of current pest management methods, expressed in terms of relative yield gains, ranged from 0.38 to 0.74. Overall, the analyses indicated that 120 to 200 × 106 tons of grain yield are lost yearly to pests over the 87 × 106 ha of lowland rice in tropical Asia. This also amounts to the potential gain that future pest management strategies could achieve, if deployed.

scholarly journals Classification of Rice Leaf Blast Severity Using Hyperspectral Imaging

2021 ◽  
Author(s):  
Guosheng Zhang ◽  
Tongyu Xu ◽  
Youwen Tian ◽  
Shuai Feng ◽  
Dongxue Zhao ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Spectral Reflectance ◽  
Support Vector ◽  
Growth Stages ◽  
Leaf Blast ◽  
Full Spectrum ◽  
Rice Leaf ◽  
Svm Model ◽  
Rice Leaf Blast ◽  
Different Growth Stages

Abstract Background: Hyperspectral imaging is an emerging technology applied in plant disease research, including disease detection, multiple disease identification, disease severity assessment, and disease resistance evaluation. Rice leaf blast is prevalent all over the world and is a serious threat to rice yield and quality. In this paper, the standard deviation (STD) of the spectral reflectance of whole leaves was calculated and a support vector machine (SVM) model was built to classify the degree of rice leaf blast at different growth stages.Results: The classification accuracy of the full-spectrum-based SVM model at jointing stage, booting stage and heading stage was 94.44%, 81.58% and 80.48%, respectively. The corresponding macro recall values were 0.9714, 0.715 and 0.79. The average STD of the spectral reflectance of the whole leaf differed not only within samples with different disease grades, but also those with the same disease level. Conclusion: The STD of the spectral reflectance of whole leaf could be utilized to classify the rice leaf blast degree at different growth stages. The classification method was derived from physiological phenomena that were visible to the naked eye, making it more intuitive and convincing.

scholarly journals Increased enzymatic activity in rice leaf blast suppression by crude extract of Epicoccum sp

2013 ◽  
Vol 38 (5) ◽  
pp. 387-397 ◽  
Author(s):  
Ana P.A. Sena ◽  
Amanda A. Chaibub ◽  
Márcio V.C.B. Côrtes ◽  
Gisele B. Silva ◽  
Valácia L. Silva-Lobo ◽  
...  
Keyword(s):  
Enzymatic Activity ◽  
Crude Extract ◽  
Leaf Blast ◽  
Rice Leaf ◽  
Rice Leaf Blast

scholarly journals Characterization of Sarocladium oryzae and its reduction potential of rice leaf blast

2017 ◽  
Vol 47 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Rafaela Araújo Guimarães ◽  
Valácia Lemes da Silva Lobo ◽  
Márcio Vinícius Carvalho Barros Côrtes ◽  
Marta Cristina Corsi de Filippi ◽  
Anne Sitarama Prabhu
Keyword(s):  
Defense Mechanisms ◽  
Phenylalanine Ammonia Lyase ◽  
Integrated Management ◽  
Conidial Suspension ◽  
Leaf Blast ◽  
Rice Leaf ◽  
Activity Of Enzymes ◽  
Rice Leaf Blast ◽  
Alternative Practices

ABSTRACT The integrated management of rice leaf blast (Magnaporthe oryzae) is carried out mainly with the adoption of chemical control. However, the search for alternative practices has grown in recent years. Thus, the variability of 28 Sarocladium oryzae isolates was evaluated for the cerulenin production, as well as its potential for reducing the severity of rice leaf blast, quantifying the activity of enzymes linked to the plant defense mechanisms. More than 55 % of the S. oryzae isolates were antagonistic to the pathogens M. oryzae, Cochliobolus miyabeanus, Thanatephorus cucumeris and Monographella albescens, and 60 % of the isolates produced cerulenin at detectable levels. Both BRM 6461 (296.0 µg mL-1) and BRM 6493 (undetectable cerulenin) inhibited the formation of M. oryzae appressoria in 89.5 % and 85 %, respectively. The BRM 6461 isolate, applied as conidial suspension and filtered, reduced the severity of rice leaf blast in 68.8 % and 75.5 %, respectively. The enzymatic activity in the presence of M. oryzae was higher for lipoxygenase at 5 h (filtered) and at 24 h and 72 h (conidial suspension) after the pathogen inoculation. For phenylalanine ammonia lyase, the highest expression was at 5 h (filtered) and 72 h (conidial suspension). The enzymes chitinase, β-1,3-glucanase and peroxidase and the salicylic acid phytohormone presented no differences, in relation to the controls (water and M. oryzae). The filtered from the BRM 6461 isolate, basically constituted by cerulenin, reduced the severity of rice leaf blast and possibly activated the defense mechanisms of the rice plants against M. oryzae.

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