Accurate crop classification map is of great significance in various fields such as the survey
of agricultural resource, the analysis of existing circumstance on land application, the yield …

Image segmentation is a crucial task in computer vision, which divides a digital image into
multiple segments and objects. In agriculture, image segmentation is extensively used for …

Harvesting robots had difficulty extracting filament phenotypes for small, numerous
filaments, heavy cross-obscuration, and similar phenotypic characteristics with organs …

The immature winter flush affects the flower bud differentiation, flowering and fruit of litchi,
and then seriously reduces the yield of litchi. However, at present, the area estimation and …

The root is an important organ for plants to obtain nutrients and water, and its phenotypic
characteristics are closely related to its functions. Deep-learning-based high-throughput in …

Efficiently and accurately extracting crop plants from authentic and complex field images is
essential to ensure the economic efficiency of agricultural production and enhance farming …

Technology is widely adopted across today's agricultural landscape to improve output,
efficiency, and longevity. The Internet of Things (IoT) deployment inside greenhouse settings …

This research paper is about the effectiveness of a fusion of machine learning and artificial
intelligence into smart irrigation systems in terms of both safety and benefit of the …

The IoT devices proliferation speed has engendered a necessity for data processing and
analytics capabilities as advanced as IoT networks are to take full advantage of the IoT …

[Objective] The root system is an important component of plant composition, and its growth
and development are crucial for plants. Root image segmentation is an important method for …