Development of Application Specific Machine Learning Framework for Data Centric Applications

Abstract

Even in this era of information technology, the development of a nation depends on its newlinecrops production capacity and crops self-sufficiency. The production capacity of crops is dependent on the quality of agriculture, however, due to the rapid growth of population, newlinethe area of agricultural land has reduced significantly, and its ill-effects are also visible on newlinethe soil fertility. newlineSince in this era of urbanization and globalization, the area of cultivable land will be continuously decreasing, the focus should be on increasing the fertility of the land. In recent newlinetimes, predicting agricultural production capacity is an essential task of agricultural newlineresearch. In some studies, the agricultural researcher has predicted the agrarian production capacity based on agricultural statistics. However, the extensive use of pesticides newlineand fertilizers hinders agricultural researcher from forecasting agricultural production potential. newlineGenerally, agriculture s productivity depends on climates such as soil composition, rainfall, newlinehumidity, temperature, sunlight, and air. The climatic conditions for agriculture may newlinevary with region. It isn t easy to collect such information over large areas of agricultural newlineland, but it is necessary to identify agrarian production potential and suitable crops.Nowadays, agricultural researchers are trying to identifying various crop prediction methods and developing new machine learning methods to identify suitable crop based on newlineagricultural land areas.Contd.... newline