%0 Journal Article %1 Shivaji_2015 %A Dange, Mr. Mahesh Shivaji %A Handore, Mrs. S.M. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Acquisition Classification Disease Extraction Feature Image detection etc preprocessing %N 1 %P 330--332 %R 10.17762/ijritcc2321-8169.150167 %T Survey: Detection Of Crop Diseases Using Multiscaling Technique %U http://dx.doi.org/10.17762/ijritcc2321-8169.150167 %V 3 %X Diseases in crops reduces both quality and quantity of the agricultural products.A classification is a technique where leaf is classified based on its different morphological features. Since the quality of result can vary for different input data, selecting a classification method is always a difficult task. There are different classification techniques such as K-Nearest Neighbor Classifier (KNN), Probabilistic Neural Network(PNN), Genetic Algorithm, Support Vector Machine(SVM) and Principal Component Analysis, Artificial neural network(ANN), Fuzzy logic. Plant leaf disease classifications have wide applications in various fields such as in biological research, in Agriculture etc. Farmers experience great difficulties in switching from one disease control policy to another. Early information on crop health and disease detection can facilitate the control of diseases through proper management strategies. This technique will improves productivity of crops. In practice the traditional approach for detection and identification of plant diseases is the nacked eye observation

@article{Shivaji_2015, abstract = {Diseases in crops reduces both quality and quantity of the agricultural products.A classification is a technique where leaf is classified based on its different morphological features. Since the quality of result can vary for different input data, selecting a classification method is always a difficult task. There are different classification techniques such as K-Nearest Neighbor Classifier (KNN), Probabilistic Neural Network(PNN), Genetic Algorithm, Support Vector Machine(SVM) and Principal Component Analysis, Artificial neural network(ANN), Fuzzy logic. Plant leaf disease classifications have wide applications in various fields such as in biological research, in Agriculture etc. Farmers experience great difficulties in switching from one disease control policy to another. Early information on crop health and disease detection can facilitate the control of diseases through proper management strategies. This technique will improves productivity of crops. In practice the traditional approach for detection and identification of plant diseases is the nacked eye observation}, added-at = {2015-08-03T09:32:43.000+0200}, author = {Dange, Mr. Mahesh Shivaji and Handore, Mrs. S.M.}, biburl = {https://www.bibsonomy.org/bibtex/2cc9ff414f7423d2abadeb605cb3d7175/ijritcc}, doi = {10.17762/ijritcc2321-8169.150167}, interhash = {5b86caafc9d18f552dce0b32edfce56f}, intrahash = {cc9ff414f7423d2abadeb605cb3d7175}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Acquisition Classification Disease Extraction Feature Image detection etc preprocessing}, month = {january}, number = 1, pages = {330--332}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-03T09:32:43.000+0200}, title = {Survey: Detection Of Crop Diseases Using Multiscaling Technique}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150167}, volume = 3, year = 2015 }