FLOWER PLANT DISEASE DETECTION
FLOWER PLANT DISEASE DETECTION INTRODUCTION Agricultural production is fundamental for global sustenance, impacting humans and animals alike. Government initiatives bolster food security, yet plant diseases threaten crops and ecosystems. Early detection is vital, sparing extensive losses. Farmers must judiciously apply insecticides, seeking expert guidance to mitigate chemical misuse. Research focuses on aiding agriculture, leveraging innovations like automated disease detection tools powered by deep learning. Deep Convolutional Neural Networks discern between healthy and diseased leaves swiftly and accurately, aiding both small and large-scale farming. These advancements promise precise interventions, crucial for combating food insecurity amidst evolving climates and natural disasters. SYSTEM DESIGN Utilizing Convolutional Neural Networks (CNNs), researchers have made significant strides in image-based diagnosis for detecting plant leaf diseases. CNNs excel in automaticall