Computer Vision and Deep Learning for Agriculture - PyImageSearch

The agriculture sector is the foundation of any economy. However, with an increase in population, the agriculture sector will feel pressure and need to scale its supplies several times to cope with the increasing consumption. In addition, uncertain factors like climate change, diseases, and infertile land have propelled the sector to adopt innovative approaches like artificial intelligence to protect and increase crop yield. AI has the potential to change the agriculture sector by helping farmers minimize the risk of diseases, proactively adapt to changing climate conditions, monitor the security of crops using drones, etc., while keeping labor costs down (Figure 1). As a result, the overall AI in the agriculture market is projected to grow from an estimated $1B in 2020 to $4B by 2026, at a compound annual growth rate (CAGR) of 25.5% between 2020 and 2026. This series is about CV and DL for Industrial and Big Business Applications.