Image analysis based on heterogeneous architectures for precision agriculture: a systematic literature review

Abstract:

Precision agriculture (AP) is a management strategy that uses ICT (Information and Communication Technologies) to obtain information from different sources in order to support decision-making, considering environmental and economic aspects to optimize the Farmer’s tasks and provide quality products to the costumer. The application of AP in agriculture can reduce time spent in manual activities, avoid the indiscriminate use of chemicals, increase production costs, soil deterioration and environmental pollution. Nowadays, AP is a booming area that, taking advantage of technological advances, in computer vision, heterogeneous architectures (Multicore, GPU, FGPA) and artificial intelligence techniques (Machine learning, Deep learning), has allowed to systematize a variety of agricultural activities, such as disease detection, plant counting, and identification of weed, pests and insects in different crops …

Año de publicación:

2019

Keywords:

Fuente:

google