Weed Detection Using Convolution Neural Network


Weeds are the plants filling in an off-base spot which contend with crop for water, light, supplements and space, causing decrease in yield and compelling utilization of hardware and cause a disturbance in agriculture. Weed picking is one of the laborious job in fields. Weeds will host disease and illnesses that can spread to developed yields. We are proposing a solution in the device is integrated with camera and there will be a live video streaming in that it will detect the weed in the crop by using image processing. This system will distinguish the crop and weed. Our system will use a Convolution neural network algorithm to extract the features from image and train them by using neural network Keywords: Convolution Neural Network.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL