Main Article Content
Plant disease determination is an art and also science. Plant disease is essential problem that lower the quantity and also reduced the quality of agricultural production. Recent, pesticide is applied on plant without learned what the essential requirement of plant. Disease is the main the cause to death the plant and also influences the human health. Data mining is a comparatively novel research in agricultural. In this paper, our aim to develop the system to evaluate high accuracy and also detects the disease of the orange plant. The proposed system use segmentation techniques such as k-means clustering and deep neural network learning to predict the disease based on weather feature of the orange plant. This system helps the farmer to understand the disease of orange plant and also increase the yield of orange plant.
How to Cite
, D. K. K. M. K. (2018). Prediction of Plant Disease from Weather Forecasting using Data Mining. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 685–688. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1591