Open AccessRecommendation of Crop, Fertilizers and Crop Disease Detection System
Author(s) -
S. N. Uke
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38980
Subject(s) - crop , yield (engineering) , cropping , crop yield , cropping system , crop rotation , agricultural engineering , agroforestry , agronomy , environmental science , agriculture , geography , biology , engineering , materials science , archaeology , metallurgy
India is a highly populated country and randomly change in the climatic conditions need to secure the world food resources. Framers face serious problems in drought conditions. Type of soil plays a major role in the crop yield. Suggesting the use of fertilizers may help the farmers to make the best decision for their cropping situation .The number of studies Information and Communication Technology (ICT) can be applied for prediction of crop yield By the use of Data Mining, we can also predict the crop yield. By fully analyze the previous data we can suggest the farmer for a better crop for the better yield. This application also provide model which predicts the type of crop disease based on textural similarity of leaves.