Identification of Crop Pests using Machine Learning Classifier System
نویسندگان
چکیده
منابع مشابه
Crop Pests Prediction Method using Regression and Machine Learning Technology: Survey
This paper describes current trends in the prediction of crop pests using machine learning technology. With the advent of data mining, the field of agriculture is also focused on it. Currently, various studies, domestic and overseas, are under progress using machine learning technology, and cases of its utilization are increasing. This paper classifies and introduces SVM (Support Vector Machine...
متن کاملAutomated Species Identification System using Machine Learning Techniques
Taxonomy is the science of naming, describing and classifying organisms that includes all plants, animals and microorganisms of the world. Using morphological, behavioral, genetic information and biochemical observations, taxonomists identify and describe species into classifications, including those that are new to science. The taxonomic identification of fishes is a time-consuming process and...
متن کاملExtreme Learning Machine-based Crop Classification using ALOS/PALSAR Images
Classification maps are required for agricultural management and the estimation of agricultural disaster compensation. The extreme learning machine (ELM), a newly developed single hidden layer neural network is used as a supervised classifier for remote sensing classifications. In this study, the ELM was evaluated to examine its potential for multi-temporal ALOS/PALSAR images for the classifica...
متن کاملHealth Monitoring of a Hydraulic Brake System Using Nested Dichotomy Classifier – A Machine Learning approach
Hydraulic brakes in automobiles play a vital role for the safety on the road; therefore vital components in the brake system should be monitored through condition monitoring techniques. Condition monitoring of brake components can be carried out by using the vibration characteristics. The vibration signals for the different fault conditions of the brake were acquired from the fabricated hydraul...
متن کاملUsing Classifier-Based Nominal Imputation to Improve Machine Learning
Many learning algorithms perform poorly when the training data are incomplete. One standard approach involves first imputing the missing values, then giving the completed data to the learning algorithm. However, this is especially problematic when the features are nominal. This work presents “classifier-based nominal imputation” (CNI), an easy-to-implement and effective nominal imputation techn...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2020
ISSN: 2321-9653
DOI: 10.22214/ijraset.2020.5162