Agricultural robotics

SG Vougioukas - Annual review of control, robotics, and …, 2019 - annualreviews.org
A key goal of contemporary agriculture is to dramatically increase production of food, feed,
fiber, and biofuel products in a sustainable fashion, facing the pressure of diminishing farm …

U-Net-bin: hacking the document image binarization contest

PV Bezmaternykh, DA Ilin, DP Nikolaev - Компьютерная оптика, 2019 - cyberleninka.ru
Image binarization is still a challenging task in a variety of applications. In particular,
Document Image Binarization Contest (DIBCO) is organized regularly to track the state-of …

Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks

YK Lin, SF Chen, YF Kuo, TL Liu, SY Lee - Computers and Electronics in …, 2021 - Elsevier
Tea (Camellia sinensis) is one of the most popular beverage crops worldwide. As tea
production is labor-intensive, riding-type tea plucking machines have been employed to …

Accurate crop row recognition of maize at the seedling stage using lightweight network

J Wei, M Zhang, C Wu, Q Ma, W Wang… - International Journal of …, 2024 - ijabe.org
Accurate extraction of crop row is very important for automation of agricultural production.
Crop rows are required for accurate machine guidance in agricultural production such as …

Application of shared backbone DNNs in ADAS perception systems

MG Lobanov, DL Sholomov - … International Conference on …, 2021 - spiedigitallibrary.org
Advanced Driver Assistance System (ADAS) is a very important part of an up to date vehicle.
For achieving highlevel objectives in such ADAS functionality like LKA (lane keeping …

Unsupervised domain adaptation for DNN-based automated harvesting

AY Shkanaev, DL Sholomov… - … on Machine Vision …, 2020 - spiedigitallibrary.org
Computer vision systems based on convolutional neural networks are being rapidly
introduced in the field of precision agriculture to solve the problem of scene recognition …

A method of detecting end-to-end curves of limited curvature

EI Panfilova, M Aliev, I Kunina… - … on Machine Vision …, 2020 - spiedigitallibrary.org
In this paper we consider a method for detecting end-to-end curves of limited curvature like
the k-link polylines with bending angle between adjacent segments in a given range. The …

Detecting uncut crop edge with convolutional neural networks

D Protasov - … Digital agriculture-development strategy”(ISPC 2019 …, 2019 - atlantis-press.com
The paper proposes an approach to determining the boundary between cut and uncut crop,
which is one of the most important tasks in creating a system of assistance to the combine …