Disease can negatively impact plant health before any visible signs like leaf discoloration show. While these stresses are invisible to our naked eye, drone cameras using special filters could detect these subtle changes in real-time. Evidence has shown that drone remote imagery can help to identify disease related stress in plants. However, could the spectral signatures of infected plants be unique enough to differentiate the causal disease remotely and how could we use this to reduce the burden on inspectors in the field or better target our inspections? With our Multi-spectral and hyper-spectral imagery are often used to measure the responses of plants in the visible and near infrared parts of the electromagnetic spectrum to remotely detect plant stress using our drone technology.
PlantScope Tech, Use Deep Neural Networks based on recognition of Plant Diseases by Leaf Image Classification dataset to detect diseases and pests in plants. Using images captured by a drone camera with various resolutions, it sends it in an offline way to the farmer's mobile phone (App) and to our server our mobile App do the processing and sent you realtime results. It then broadcasts massages to the near by farmers in the communities to allow farmers get the specialized agronomist and their location. Currently, the database has over 800 photographs and covers seven crops. Every time a farmer uploads a photograph for diagnosis it will be time marked and geo-referenced. Hence, the database also facilitates pest and disease outbreak monitoring and can send early warning messages for specific locations in realtime.