scholarly journals Pendugaan Intensitas Serangan Penyakit BLB (Bacterial Leaf Blight) pada Tanaman Padi melalui Pendekatan Citra Multispektral

2020 ◽  
Vol 8 (2) ◽  
pp. 338
Author(s):  
Gusti Bagus Eka Chandra ◽  
I Made Anom S. Wijaya ◽  
Yohanes Setiyo
Keyword(s):  
Technology Development ◽  
Leaf Blight ◽  
Multispectral Image ◽  
Bacterial Leaf Blight ◽  
Estimation Accuracy ◽  
Multispectral Images ◽  
Multispectral Imagery ◽  
Rice Plants ◽  
Red Edge ◽  
Disease Attack

ABSTRAK Penyakit Bacterial Leaf Blight (BLB) merupakan salah satu penyakit yang berbahaya bagi tanaman padi. Penyakit ini bisa menyerang di setiap fase pertumbuhan. Perhitungan intensitas serangan penyakit BLB saat ini masih dilakukan secara manual. Diperlukan pengembangan teknologi dalam pendugaan intensitas serangan penyakit BLB melalui citra multispektral. Penelitian ini bertujuan untuk (1) untuk mendapatkan nilai korelasi terbaik antara intensitas serangan penyakit BLB dengan parameter citra multispektral (2) Untuk mendapatkan persamaan pendugaan intensitas serangan penyakit BLB berdasarkan pendekatan citra multispektral. Drone DJI Inspire 1 dengan kamera multispektral digunakan untuk menangkap gambar petak padi. Pengolahan data citra multispektral menggunakan Agisoft Photoscan dan software QGIS 3.8. Berdasarkan dari hasil akuisisi, citra multispektral menghasilkan citra band red, NIR, green, red edge, RGB yang kemudian diolah menjadi transformasi citra NDVI, EVI, dan NDRE. Dari ketiga parameter citra multispektral, nilai NDVI memiliki tingkat korelasi yang lebih kuat dengan koefisien determinasi sebesar 97,5% dan menghasilkan persamaan linier sebagai berikut y = -419,6 + 169,3. Dalam perhitungan nilai eror parameter NDVI memilikinilai eror paling rendah dibandingkan parameter EVI dan NDRE yaitu sebesar 4,64% dengan akurasi pendugaan 95,36%. Citra multispektral dapat digunakan dalam pendugaan intensitas serangan penyakit BLB pada tanaman padi karena menghasilkan nilai korelasi yang sangat kuat, dan akurasi pendugaan yang tinggi dengan nilai eror yang rendah tidak melebihi 10%. ABSTRACT  Bacterial Leaf Blight (BLB) is a disease that is dangerous for rice plants. This disease can attack in every phase of growth. Calculation of BLB disease attack intensity is currently still used manually method. Technology development is needed in estimating the intensity of BLB disease through multispectral imagery. This study aims (1) to get the best correlation value between the intensity of BLB disease attack with multispectral image parameters (2) to get the equation for estimating the intensity of BLB based on multispectral images parameter. Drone DJI Inspire 1 with a multispectral camera is used to captured the paddy field. The captured images was processed using Agisoft Photoscan and QGIS 3.8 software. Based on the results of the acquisition, multispectral images produce red, NIR, green, red edge, RGB band images which were then transformed into NDVI, EVI, and NDRE images. Of the three multispectral image parameters, NDVI values ??have a stronger correlation level with a determination coefficient of 97.5% and produce the following linear equation y = -419.6 + 169.3. In calculating the NDVI parameter error value has the lowest error value compared to the EVI and NDRE parameters which is 4.64% with an accuracy estimate of 95.36%. Multispectral imagery can be used in estimating the intensity of BLB disease attacks in rice plants because it produces a very strong correlation value, and high estimation accuracy with a low error value does not exceed 10%.

scholarly journals Pendugaan Intensitas Serangan Penyakit BLB (Bacterial Leaf Blight) pada Tanaman Padi menggunakan Pendekatan Citra Termal

2021 ◽  
Vol 9 (1) ◽  
pp. 86
Author(s):  
Ni Luh Putu Jullyantari ◽  
I Made Anom Sutrisna Wijaya ◽  
I Putu Gede Budisanjaya
Keyword(s):  
Technology Development ◽  
Thermal Image ◽  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Estimation Accuracy ◽  
Thermal Camera ◽  
Microsoft Excel ◽  
Rice Plants ◽  
Disease Attack ◽  
Attack Intensity

Penyakit BLB merupakan salah satu penyakit yang berbahaya bagi tanaman padi. Penyakit ini biasanya menyerang di setiap fase pertumbuhan. Perhitungan intensitas serangan penyakit BLB masih dilakukan secara manual. Pengembangan teknologi dalam pendugaan intensitas serangan penyakit BLB sangat diperlukan. Penelitian ini bertujuan untuk membangun persamaan pendugaan intensitas serangan penyakit BLB menggunakan pendekatan citra termal. Penelitian ini menggunakan Drone DJI Inspire 1 dengan kamera termal DJI Zenmuse XT. Pengolahan data menggunakan software Agisoft Photoscan, Arcgis 10.3 dan Microsoft Excel. Dari hasil analisis citra termal diperoleh bahwa persamaan pendugaan intensitas serangan adalah y = 4.9533x-144.42 dan akurasi pendugaannya tinggi yaitu 90,45% dengan nilai eror 8,43%. Suhu kanopi dapat diklasifikasi menjadi empat sesuai dengan intensitas serangan yaitu 29,83-31,84oC untuk intensitas serangan ringan, 31,85-34,39oC untuk intensitas serangan sedang, 34,40-43,52oC untuk intensitas serangan berat dan 43,53-48,09oC untuk intensitas serangan puso. Berdasarkan hasil dari penelitian yang telah dilakukan dapat disimpulkan bahwa pendekatan citra termal dapat digunakan untuk menduga intensitas serangan penyakit BLB pada tanaman padi.   Bacterial Leaf Blight (BLB) is a dangerous disease for rice plants. This disease can attack in every phase of growth. Calculation of BLB disease attack intensity is currently still done manually. Technology development in estimating the intensity of BLB disease is very necessary. This study aims to establish the equation for estimating BLB disease intensity using a thermal image approach. Drone DJI Inspire 1 with a thermal camera DJI Zenmuse XT was used in this research. Processing data using software Agisoft Photoscan, Arcgis 10.3 and Microsoft Excel. From the results of the thermal image analysis, it was found that the equation for estimating attack intensity is y = 4.9533x-144.42 and estimation accuracy is high at 90,45% with an error value of 8,43%. Temperature of the canopy can be classified into four according to the intensity of the attack, namely 29,83-31,84oC for mild attack intensity, 31,85-34,39oC for moderate attack intensity, 34,40-43,52oC for intensity of severe attacks and 43,53-48,09oC for intensity of puso attacks. From these results it can be concluded that the thermal image approach can be used to estimate BLB disease attacks on rice plants.

scholarly journals Evaluating Multispectral Imaging for Assessing Bacterial Leaf Blight Damage in Indonesian Agricultural Insurance

2021 ◽  
Vol 232 ◽  
pp. 03008
Author(s):  
Yuti Giamerti ◽  
Chiharu Hongo ◽  
Daiki Saito ◽  
Oliver Caasi ◽  
Pepi Nur Susilawati ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Rice Field ◽  
Multispectral Imaging ◽  
Vegetation Indices ◽  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Multispectral Images ◽  
Agricultural Insurance ◽  
Average Value ◽  
Red Edge

Bacterial Leaf Blight (BLB) is one of the main diseases in Indonesia that causes a 90% reduction in grain weight. Multispectral imaging may be used as a quick and effective method for damage assessment and is expected to utilize on agricultural insurance in Indonesia. Data were collected at the rainy season and dry season 2018 in Farmers rice field at Bali Province. Vegetation indices (NDVI, GNDVI, and VARIred-edge) was analyzed using QGIS 2.18 from multispectral images. Some vegetation index shows positive correlation with SPAD and negative correlation with DSI (%). VARIred-edge has a higher relationship with DSI (R2: 0.8443) than NDVI (R2: 0.8291) and GNDVI (R2: 0.5463) at the average value on each location, but the relation seems to be affected by that relation between SPAD and LAI. Further data and analysis are required.

scholarly journals On forecasting of bacterial leaf blight of rice plants by using natural phage

1974 ◽  
Vol 20 ◽  
pp. 62-65
Author(s):  
Norisato GAMO ◽  
Takayuki YAMAGUCHI ◽  
Sadao KIMURA
Keyword(s):  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Rice Plants ◽  
Natural Phage

scholarly journals Bacterial Leaf Blight Detection in Rice Crops Using Ground-Based Spectroradiometer Data and Multi-temporal Satellites Images

2020 ◽  
Vol 12 (2) ◽  
pp. 38
Author(s):  
Rani Yudarwati ◽  
Chiharu Hongo ◽  
Gunardi Sigit ◽  
Baba Barus ◽  
Budi Utoyo
Keyword(s):  
Image Analysis ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Leaf Blight ◽  
Rice Crop ◽  
Bacterial Leaf Blight ◽  
First Derivative ◽  
Red Edge ◽  
Multi Temporal ◽  
Satellite Image Analysis

This study presents a method for detecting rice crop damage due to bacterial leaf blight (BLB) infestation. Rice crop samples are first analyzed using a handheld spectroradiometer. Then, multi-temporal satellite image analysis is used to determine the most suitable vegetation indices for detecting BLB. The results showed that healthy plants have the highest first derivative value of spectral reflectance of the different categories of diseased plants. Significant difference can be found at approximately 690-770 nm (red edge region) which peak or maximum of the first derivative occurs in healthy crop whereas the highest percentage of BLB showed the lowest in that region. Moreover, visible bands such as blue, green, red, and red edge 1 band show variation of correlation in the early (vegetative) to generative stage then getting high especially in early of harvesting stage than the other bands; the NIR band exhibits a low correlation from the early stage of the growing season whereas the red and red edge bands reveal the highest correlations in the later stage of harvesting. Similarly, the satellite image analysis also reveals that disease incidence gradually increases with increasing age of the plant. The vegetation indices whose formulas consist of blue, green, red, and red edge bands (NGRDI, NPCI, and PSRI) exhibit the highest correlation with BLB infestation. NPCI and PSRI indices indicate that crop stress due to BLB is detected from ripening stage of NPCI then the senescence condition is then detected 12 days later. The coefficients of determination between these indices and BLB are 0.44, 0.63, and 0.67, respectively

scholarly journals The Effectiveness of Several Plant Extracts to Induce Rice Plant Resistance against Bacterial Leaf Blight - (Xanthomonas oryzae pv. oryzae)

2019 ◽  
Vol 23 (1) ◽  
pp. 16
Author(s):  
Fitri Widiantini ◽  
Avissa Ayuningdiyas ◽  
Endah Yulia ◽  
Tarkus Suganda
Keyword(s):  
Plant Extracts ◽  
Seed Treatment ◽  
Defense Mechanism ◽  
Leaf Blight ◽  
Xanthomonas Oryzae ◽  
Bacterial Leaf Blight ◽  
Rice Seedlings ◽  
Control Techniques ◽  
Rice Plants ◽  
Plant Defense Mechanism

Resistant plants are one of the disease control techniques that considered to be effective. Resistant plants can be produced in various ways including the application of plant extracts. The aim of this study was to examine the ability of several plant extracts to increase the resistance of rice plants to bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo). A total of 13 plants were extracted and applied in two methods, which were seed treatment and seedling treatment which sprayed on two-week old rice seedlings. Xoo bacteria were inoculated on rice plants two weeks after planting. The observations on the intensity of BLB disease infection showed that water hyacinth extract (Eichhornia crassippes), spiny amaranth (Amaranthus spinosus) and jasmine leaves (Jasminum grandiflorum) can suppress the development of BLB disease in both application methods. The application of plant extracts as inducing agents needs to be repeated to maintain the activated plant defense mechanism.

scholarly journals Potential of Bacillus subtilis for controlling bacterial leaf blight pathogen in rice

Food Research ◽  
2020 ◽  
Vol 4 (S5) ◽  
pp. 124-130
Author(s):  
K.S. Ku Asmah ◽  
Z. Sapak
Keyword(s):  
Bacillus Subtilis ◽  
Disease Severity ◽  
Severe Disease ◽  
Severity Index ◽  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
In Vivo Studies ◽  
Disease Severity Index ◽  
Rice Plants

Bacterial leaf blight (BLB) of rice is an economically important disease caused by Xanthomonas oryzae pv. oryzae (Xoo) throughout the world. To control this disease, bacterial isolate of Bacillus subtilis UiTMB1 was screened for the antagonistic activity against the pathogen in vitro and in vivo studies. A bacterial assay and detached leaf technique were used to evaluate the potential of the bacterium against BLB pathogen in the laboratory. Meanwhile, the glasshouse study was conducted to further examine the aptitudes of the isolate on the disease control and growth-promoting of rice plants. The findings revealed that B. subtilis UiTMB1 is able to control the disease and enhance the growth of rice plants. Rice plants treated with B. subtilis UiTMB1 before being inoculated with BLB pathogen showed less severe disease symptoms with low disease severity index of 3.43 compared to rice plants without B. subtilis UiTMB1 with high disease severity index of 8.4. Besides controlling the disease, B. subtilis UiTMB1 was also promoting plant height, chlorophyll content, number of tillers and biomass of rice plants.

scholarly journals PERTUMBUHAN, HASIL DAN TOLERANSI GENOTIP PADI TERHADAP PENYAKIT HAWAR DAUN (Bacterial Leaf Blight) PADA APLIKASI DOSIS Paenibacillus Polymixa BERBEDA

2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Ai Komariah ◽  
Eva Lady Mustika
Keyword(s):  
Rainy Season ◽  
Leaf Blight ◽  
Growth Yields ◽  
Bacterial Leaf Blight ◽  
Rice Plants ◽  
Rice Yields ◽  
Main Plot ◽  
Blight Disease ◽  
The Village ◽  
Dose Variation

The research was to study the effect of genotype rice plants and Paenibacillus Polymixa dose to growth, yields and genotype  tolerances to  BLB (Bacterial Leaf Blight) deseases.The research was conducted in the village Kedawung Majalaya Karawang District of West Java in the rainy season, from Januari 2015 until  Mei 2015.  The  experiment was  used Strip plots design with genotypes of rice was the main plot consist of  Sri Putih (v1), Manohara (v2) and  IR 64 (v3), subplots were doses paenybacilus polymixa (d1 ) Dose Paenybacillus polymixa 0 liters / ha, (d2) Dose Paenybacillus polymixa 2.5 liters / ha (5 ml / liter), (d3) Dose Paenybacillus polymixa 5 liters / ha (10 ml / liter) and (d4) Dose Paenybacillus pol ymixa 7.5 liters / ha (15 ml / liter).  The results of the experiment shosed that no interaction between the administration of the dose variation Paenybacillus polymixa with genotype rice plants against rice yields and not interaction between administration of the dose variation Paenybacillus polymixa with genotype rice plants to suppress the intensity of the attack Bacterial leaf blight disease. For the intensity of the disease, dose applications Paenybacillus polymixa 2.5 liters / ha (5 ml / liter) was effectively used during the vegetative age of 21, 28 and 35 days after planting. 

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