Innovating a crop assessment system using a real-time, hardware-based drone image processing system to support on-the-spot decision in agriculture

Agricultural producers are concerned about producing food, increasing productivity, and making sustainability, while drones along with governments, technology leaders, and industry are playing an important role as a part of solution of this [9]. This drone imagery is for farmers so that, they can fly their fields, and not only pinpoint issues such as, irrigation leaks, leaf color variation or pest, but also highlight where these issues are occurring. But the image processing time is often too late to remedy that solution. Accordingly, actionable intelligence can produce crop health maps for farmers by measuring the amount of biomass or live green vegetation in the crops using the Normalized Differentiation Vegetation Index (NDVI) [10]. Therefore, by combining precision agriculture technology with information and communication technologies, it is possible to provide real-time farm monitoring and faster sensor data processing to the farmers for better farm management as well as increasing food productivity.

Faculty Supervisor:

Young Chang

Student:

Sabiha Shahid Antora

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University