Plant image recognition with deep learning: A review

Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2023 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

Automated detection of Crop-Row lines and measurement of maize width for boom spraying

X Zhang, Q Wang, X Wang, H Li, J He, C Lu… - … and Electronics in …, 2023 - Elsevier
Crop-row line detection is key to realizing the accurate spraying of crops; however, it is
challenging because of uneven lighting, weeds, and missing plants within rows. In this …

Trailer hopper automatic detection method for silage harvesting based improved U-Net

L Liu, Y Du, X Li, L Liu, E Mao, D Guo… - Computers and Electronics …, 2022 - Elsevier
At present, the automatic silage filling of self-propelled silage harvester is mainly realized by
computer vision; the accuracy of trailer hopper detection is one of the main factors affecting …

[HTML][HTML] Identification of Smoke from Straw Burning in Remote Sensing Images with the Improved YOLOv5s Algorithm

H Liu, J Li, J Du, B Zhao, Y Hu, D Li, W Yu - Atmosphere, 2022 - mdpi.com
Controlling straw burning is important for ensuring the ambient air quality and for
sustainable agriculture. Detecting burning straw is vital for managing and controlling straw …

Extraction and modeling of carrot crack for crack removal with a 3D vision

W Xie, K Huang, S Wei, D Yang - Computers and Electronics in Agriculture, 2024 - Elsevier
The removal of defects from fruit and vegetable is conducive to improving resource
utilization and reducing environmental pollution. However, it has been neglected by …

Real-time seed detection and germination analysis in precision agriculture: A fusion model with u-net and cnn on jetson nano

RR Donapati, R Cheruku… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Precision agriculture involves the strategic utilization of resources, precise application of
inputs, and continuous monitoring of crop health with the aim of enhancing productivity and …

[Retracted] Research on Segmentation Method of Greening Landscape of Urban Community Based on Improved U‐Net Network

J Sui - Security and Communication Networks, 2022 - Wiley Online Library
Aiming at the problem of low segmentation accuracy of greening landscape of urban
community, a segmentation method of greening landscape of urban community based on …

[HTML][HTML] A Pixel-wise Segmentation Model to Identify Bur Chervil (Anthriscus caucalis M. Bieb.) Within Images from a Cereal Cropping Field

H Karimi, H Navid, KH Dammer - Gesunde Pflanzen, 2023 - Springer
Because of insufficient effectiveness after herbicide application in autumn, bur chervil
(Anthriscus caucalis M. Bieb.) is often present in cereal fields in spring. A second reason for …