Efficient Data Mining for Increasing Agriculture Productivity

Priya Nagose
2017 International Journal for Research in Applied Science and Engineering Technology  
data mining techniques applied to agricultural and their applications to agricultural related areas. In agriculture problem, yield prediction is a very important. The main component of agriculture productivity is the climate. Given the fundamental role of agriculture in human welfare, concern has been expressed by federal agencies and others regarding the potential effects of climate change on agricultural productivity. In agriculture, a soil testing is used to check soil sample which determine
more » ... nutrient content, composition and other characteristics such as the acidity or ph level. A soil test can determine fertility, or the expected growth potential of the soil which indicates nutrient deficiencies, potential toxicities from excessive fertility and inhibitions from the presence of the non-essential trace minerals. The sufficient amount of water is also important for the crop in agriculture.
doi:10.22214/ijraset.2017.3051 fatcat:ppg6ihc2dnchvj7cpesk6r66lu