Rice is the primary food for almost half of world’s population, especially people Asian countries. There a demand to improve quality and increase quantity rice production meet requirements increasing population. Bulk cultivation crops need appropriate technology assistance over manual traditional methods. In this work, six popular Deep-CNN architectures, namely AlexNet, VGG-19, VGG-16, Inceptio...

<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...

Gardening is a hobby which requires dedication and consistency. It something more than just watering plant. Taking care of Garden plants very important as most the are prone to diseases frequently. Plant Diseases ruin plant ultimately may kill it with time so timely identification treatment disease required for healthy This also helps preserve many threatened species plants. PlantDoc uses Artif...

This study aims to develop an android application detect and identify plant diseases through deep convolutional neural network. Plant disease is a critical issue in agricultural countries like Bangladesh. Every year production of crops sustains heavy loss due diseases. It quite difficult with human eyes. So it essential build automated system the The proposed detection model takes image leaf as...

Nowadays keeping our immune system strong is very important for health. For the same, we just have to get fresh and healthy food. Human society needs increase food production feed an expected population size that predicted be over 9 billion people. Currently, infectious diseases reduce potential yield by average of 40% with many farmers in developing world experiencing losses as high 100%. The ...