In today’s world, where we move forward technologically, spend more and time to make agricultural activities efficient. We can shorten the by supporting resources have with technological methods. diagnose disease of plant each prediction using models trained effective operation computer vision deep learning will be examining what results obtained when models, which are image-based classificatio...

<p>This paper investigates the capability of six existing classification algorithms (Artificial Neural Network, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Decision Tree and Random Forest) in classifying predicting diseases soybean mushroom datasets using with numerical or categorical attributes. While many similar studies have been conducted on images to predict plant diseas...

Data augmentation plays a crucial role in increasing the number of training images, which often aids to improve classification performances of deep learning techniques for computer vision problems. In this paper, we employ the deep learning framework and determine the effects of several data-augmentation (DA) techniques for plant classification problems. For this, we use two convolutional neura...

In this paper we present survey on various classification techniques which can be used for plant leaf classification. A classification problem deals with associating a given input pattern with one of the distinct classes. Plant leaf classification is a technique where leaf is classified based on its different morphological features. There are various successful classification techniques like kN...

For preventing the losses in the yield and quantity of the agricultural product, Classification is performed, if proper analysis is not taken in this approach or classification, then it produce serious effects on plants and due to which respective product quality or productivity is affected. Disease classification on plant is very critical for supportable agriculture. It is very difficult to mo...

in modern agriculture, image processing technique is used for mechanization and intelligent machines instead of humans. one of them is identifying varieties of plants and fruits. identifying plant varieties is important in plant eugenic programs. visual examination of plant leaves and fruits are the common processes for this aim. identification and classification of plants using machine vision ...

This paper describes our participation at the LifeCLEF Plant identification task 2015. Given various images of plant parts such as leaf, flower or stem, this task is about identification of plant species given multi-image observation query. We utilized GoogLeNet for individual image classification, and combined image classification results for plant identification per observation. Our approach ...

Plant classification becomes very much demanding research area for the use of taxonomist and botanist as well as in agricultural requirement. Using computerized techniques for performing these task is more effective. This research paper presents the classification of plants by using Feed forward Back Propagation Neural Network designed.This method performed in three steps first is leaf image pr...