Recent advances of image processing techniques in agriculture

The quality monitoring of agricultural products plays a crucial role in support of the agricultural industry. Image processing is an effective and powerful tool for investigation in several applications. Image processing techniques have been proved to enhance agricultural productivity in several ways. For analyzing agricultural parameters, most of the time, the views of experts might not be available. However, image processing approaches can monitor the growth of agricultural production and manage crops nutrition with high accuracy. This chapter reviews recent advancements in several image processing methods to help researchers and farmers enhance agricultural practices. This study highlights three main applications of image processing in agriculture, including plants detection, livestock detection, and recognition of vegetables and fruits. The plant detection section intends to focus on extracting and segmentation of plants in the field, recognizing the plants’ diseases and analyzing the three-dimensional monitoring for plant growth. We analyze several approaches in livestock detection and recognition. In addition, fruits and vegetable identification, classification, related disease, and defect detection have been investigated.