Analysis of Impact of Environmental Factors on Cotton Plant Diseases and Detection using CNN

Weather conditions are affected by climate change due to global warming which ultimately cause the impact on crop production. Change in environmental factors is the cause of occurrence of different diseases of cotton crop results into low cotton yield. Severity of diseases varies according to weekly weather conditions in that region. Hence survey is conducted yearly to record intensity of diseases of cotton plant based on metrological data in north, south and central zone of India by ICAR, India. The main goal and contribution of this paper is to summarize the impact of environmental factors on cotton plant fungal diseases and analyze the correlation of these diseases with different environmental factors. The paper also discuss the CNN based deep learning approach needed for accurate detection of diseases to control the spreading of fungal diseases of cotton plant so that cotton yield loss can be controlled.