Results 31 to 40 of about 2,002 (259)

Heading Estimation of Robot Combine Harvesters during Turning Maneuveres

Sensors, 2018
Absolute heading is an important parameter for a robot combine harvester or a robot tracked combine harvester, especially while it is turning, but due to the rapid turning of robot combine harvesters, its inertial measurement unit gives a gyro ...
Md Mostafizar Rahman, Kazunobu Ishii
doaj   +1 more source

Impacts of Automatic and Parallel Driving Systems on the Productivity of Machine-Tractor Units in the Northern Region of the Republic of Kazachstan

Acta Technologica Agriculturae, 2021
Precision farming systems are being intensively introduced into the agricultural production of the Republic of Kazakhstan. According to developers and dealers, precision farming can reduce the cost of fertilizers, seeds, PPA, fuel and lubricants by 20 ...
Polishchuk Yurij Vladimirovich, Astafyev Vladimir Leonidovich, Derepaskin Alexey Ivanovich, Kostyuchenkov Nikolay Vladimirovich, Laptev Nikolay Vladimirovich, Komarov Artem Pavlovich   +5 more
doaj   +1 more source

Reduction in adverse environmental impacts associated with the operation of combine harvesters during the harvesting of winter oilseed rape

Journal of Environmental Engineering and Landscape Management, 2019
When harvesting winter oilseed rape (WOSR), leaving higher (~0.3–0.4 m) crop stubble is an effective method of reducing fuel consumption and contaminant emissions of a combine harvester equipped with the tangential threshing apparatus and straw walkers ...
Liudvikas Špokas, Dainius Steponavičius, Gediminas Žebrauskas, Aušra Čiplienė, Laimis Bauša   +4 more
doaj   +1 more source

Design and Prototyping of an Interchangeable and Underactuated Tool for Automatic Harvesting

Robotics, 2022
In the field of precision agriculture, the automation of sampling and harvesting operations plays a central role to expand the possible application scenarios. Within this context, this work presents the design and prototyping of a novel underactuated tool for the harvesting of autonomous grapevines.
Giuseppe Quaglia, Luigi Tagliavini, Giovanni Colucci, Ardit Vorfi, Andrea Botta, Lorenzo Baglieri   +5 more
openaire   +2 more sources

Machine-Vision-Based Algorithm for Blockage Recognition of Jittering Sieve in Corn Harvester

Applied Sciences, 2020
Jittering sieve is a significant component of corn harvester, and it is used to separate kernels from impurities. The sieves may be blocked by kernels during the separating process, leading to the reduction of working performance.
Jun Fu, Haikuo Yuan, Rongqiang Zhao, Xinlong Tang, Zhi Chen, Jin Wang, Luquan Ren   +6 more
doaj   +1 more source

Assessing the effect of machine automation on operator heart and breathing rate during mechanical harvesting of wild blueberries

Smart Agricultural Technology, 2023
Wild blueberries (Vaccinium angustifolium Ait.) are among eastern Canada's most economically important crops. Despite this, the industry faces significant labor shortages required to harvest the over 69 000 ha of wild blueberry land each year. Automation
C.B. MacEachern, T.J. Esau, Q.U. Zaman, A.A. Farooque   +3 more
doaj   +1 more source

A fruit recognition method for automatic harvesting

2007 14th International Conference on Mechatronics and Machine Vision in Practice, 2007
This paper presents a method to detect and recognize mature tomato fruit clusters on a complex-structured tomato plant containing clutter and occlusion in a tomato greenhouse for automatic harvesting purpose. A color stereo vision camera (PGR BumbleBee2) is applied as the vision sensor.
L. Yang, J. Dickinson, Q. M. J. Wu, S. Lang   +3 more
openaire   +2 more sources

Determination of Permissible Operating Parameters for the Working Units of a Breeding Plot Harvester

Сельскохозяйственные машины и технологии
One of the major challenges in the mechanization of domestic breeding remains the insufficient level of technical equipment incorporating automatic control systems for working units, including AI-based solutions. In mechanized harvesting technology, most
M. E. Chaplygin, K. S. Dmitriev, A. S. Ovcharenko   +2 more
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester

Sensors, 2021
Machine vision with deep learning is a promising type of automatic visual perception for detecting and segmenting an object effectively; however, the scarcity of labelled datasets in agricultural fields prevents the application of deep learning to ...
Wan-Soo Kim, Dae-Hyun Lee, Taehyeong Kim, Hyunggun Kim, Taeyong Sim, Yong-Joo Kim   +5 more
doaj   +1 more source