The extraction of phenological events in forest and agriculture commonly relies on Vegetation Indices (VI) composed by visible near infrared bands from satellite images. However, the textural information playing an important role image fusion, classification change detection is ignored. In this study, high-throughput images collected Unmanned Aerial Vehicle (UAV) platform during growth stages s...

The detection of disease in clove plant leaves is generally carried out by diagnosing the symptoms that appear on plants. This diagnosis conducted farmers only relying their experience or even having to seek information from other farmers. because agricultural sector has no system for utilizing digital image processing technology detect diseases leaves. In this study, researchers applied two me...

This study proposed an approach to retrieve images based on texture features using GLCM and image subblocks. Each image is divided into three rows and three columns with equal sizes. Texture features are extracted based on GLCM (Gray Level Co-occurrence Matrix) using four statistical features that is contrast, homogeneity, energy and correlation. The features are calculated in four directions (...

ABSTRAKPenyakit leaf blast disebabkan oleh jamur yang bernama Pyricularia Grisea dapat menginfeksi daun padi dan menyebabkan gejala penyakit seperti bercak berbentuk belah ketupat berwarna coklat mengakibatkan kematian pada tanaman. Tingkat penyebaran sudah meluas hingga di Indonesia yakni sentra-sentra produksi padi. Penelitian dilakukan untuk mengidentifikasi Daun Padi dengan ekstraksi ciri G...

OBJECTIVE To investigate the feasibility and accuracy of texture analysis to distinguish through objective and quantitative image information between healthy and infarcted myocardium with computed tomography (CT). MATERIALS AND METHODS Twenty patients (5 females; mean age 56±10years) with proven acute myocardial infarction (MI) and 20 patients (8 females; mean age 42±15years) with no cardiac ...

The study of above-ground biomass (AGB) is important for monitoring the dynamics carbon cycle in forest ecosystems. emergence remote sensing has made it possible to analyze vegetation using land surface temperature (LST), Vegetation Temperature Condition Index (VTCI) and evapotranspiration (ET) information. However, relatively few studies have evaluated ability these variables estimate AGB temp...