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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Hery Nirwanto
Universitas Pembangunan Nasional "Veteran" Jawa Timur
Agriculture, Biological Sciences & Forestry Engineering

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Severity Level Classification of Bacterial Leaf Blight Disease (Xanthomonas oryzae) in Rice Plants (Oryza sativa L.) Based on VARI Image Processing Rafi Dwi Nugraha; Hery Nirwanto; Sri Wiyatiningsih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.652-662

Abstract

Bacterial leaf blight (BLB) caused by Xanthomonas oryzae is one of the main diseases threatening rice productivity in Indonesia. This study aims to classify the severity of BLB in rice plants more effectively using drone-based image processing technology with the VARI (Visible Atmospherically Resistant Index) vegetation index approach. The study was conducted in Wonoayu Subdistrict, Sidoarjo Regency, covering an area of 17 hectares using a DJI Phantom 4 Pro drone equipped with an RGB camera for image acquisition. The data was then analysed through pre-processing, segmentation using the K-Means Clustering method and edge detection, and classification using the Convolutional Neural Network (CNN) algorithm. The results showed that the CNN classification model was able to identify five levels of attack (healthy, mild, moderate, severe, and dead) with an accuracy of 82.25%, and the classification map was able to distinguish the spatial distribution of the disease in agricultural land. This model also showed better performance than conventional monitoring methods. The use of VARI-based image processing from drones has proven effective as an early disease detection method, providing precise solutions for rice plant health management.
DAMPAK APLIKASI INSEKTISIDA BERBAHAN AKTIF EMAMEKTIN BENZOAT DAN DELTAMETRIN TERHADAP MORTALITAS DAN KEMUNCULAN IMAGO Trichogramma japonicum DI LABORATORIUM Hanif Maulana Ahmad; Noni Ramadhini; Hery Nirwanto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1007-1013

Abstract

The use of chemical insecticides remains the primary solution to agricultural pest problems. The use of insecticides does not entirely solve the problem, but can disrupt the existence of non-target organisms (parasitoids). This research aims to determine the effects of the active ingredients emamectin benzoate and deltamethrin on the mortality, morphological behavioral changes, and the emergence rate of T. japonicum imagoes. Testing was conducted using fresh residual and fresh residual contact methods. The process of rearing T. japonicum imagoes included breeding the host C. cephalonica, preparing the substrate, and rearing T. japonicum. Fresh residual and fresh residual contact tests were conducted using field concentrations of 2 ml/L and 3 ml/L, respectively for active ingredients emamectin benzoate and deltamethrin. Observation parameters included mortality rates, morphological changes, behavioral changes, and the emergence rate of T. japonicum imagoes. Mortality data were analyzed using a normality test. If the data were not normally distributed, the Kruskal-Wallis test (non-parametric) and Mann-Whitney test were employed, along with probit analysis of the lethal time 50 (LT50). The research results showed that the active ingredients emamectin benzoate and deltamethrin were harmful to the mortality and emergence of T. japonicum imagoes, with average LT50 values of 84 minutes and 46 minutes, respectively. Exposure to insecticides caused T. japonicum imagoes to exhibit abnormalities in wing folding and behavioral changes, resulting in reduced activity.
Co-Authors Hanif Maulana Ahmad Noni Ramadhini Rafi Dwi Nugraha Sri Wiyatiningsih