Raspberry Pi Based Crop Disease Detection & Crop Health Monitoring
Abstract
Green plants are very much important to the human environment; they form the basis for the sustainability and long-term health of environmental systems. Thus, it is very important to grow healthy plants. The plant disease could be cured if it is known in the earlier stage. In this paper, we have proposed a system using raspberry pi to detect healthy and unhealthy plants & alert the farmer by sending email. We have used tensor flow tool for numerical computation. It can be used in a controlled environment farms such that it detects the signs of disease whenever they appear on the leaves of the plant. Indexed Terms: Convolutional Neural Network, Raspberry Pi, Tensor FlowIndia is cultivated country and about 70% of the population depends on agriculture. Farmers have large range of diversity for selecting various suitable crops and finding the suitable pesticides for plant. Disease on plant leads to the significant reduction in both the quality and quantity of agricultural product. The studies of plant disease refer to the studies of visually observable patterns on the plants. Monitoring of health and disease on plant plays an important role in successful cultivation of crops in the farm. In early days the monitoring and analysis of plant diseases were done manually by the expertise person in the field. This requires tremendous amount of work and also requires excessive processing time. The system uses raspberry pi to detect healthy and unhealthy leaves by training images and finding accuracy
