A Comparative Computational Analysis of VGG16and VGG19 in Prediction of Turmeric plant Disease

Many human beings are hired within side the agriculture sector, which makes for a large quantity of gross home product in many countries throughout the world. As a end result, detecting ailments in plant life at an early degree is essential for multiplied agricultural productiveness. Bacteria and viruses are the maximum not unusual place disease causing microorganisms, and they're invisible once they first harm the plant. Only at a later degree does it grow to be seen to the bare eye, and it influences complete plant components. Traditional techniques for detecting plant sickness necessitated a large quantity of time, large research, and chronic farm monitoring. However, due to the fact to era improvements in latest years, farmers were in a position to discover most desirable answers which have ended in better yields. Artificial Intelligence (AI) is a swiftly growing discipline that may be used to automate responsibilities and growth performance in a whole lot of industries. It turned into additionally used within side the agriculture enterprise to reinforce crop productiveness with the aid of using detecting and classifying sickness affection early on. As a end result of taking precautionary measures, the sickness has been affected. Preventing the spread of the sickness to different plant life within side the discipline As a end result, Image processing on PC imaginative and prescient makes this possible, in addition to education the Convolutional VGG-19 structure turned into used to create the version to discover the sickness with the aid of using importing it within side the version enter For its famous variety of healing effects.