Results 101 to 110 of about 4,578,641 (334)

THE MOBILE SERVICE OF AGRICULTURAL MACHINES AS THE ELEMENT OF THE SUPPORT FOR THE SUSTAINABLE AGRICULTURE [PDF]

Farm Machinery and Processes Management in Sustainable Agriculture, IX International Scientific Symposium, 2017
The current article presents the problems of agricultural production, including the sustainable system of farming, related to servicing agricultural vehicles and machines. It discusses solutions which ensure support for sustainable development. Moreover, it presents research into maintenance of agricultural vehicles and machines conducted by an ...
openaire   +2 more sources

Path Planning for Autonomous Agricultural Machines

, 2021
This thesis presents the design of a coverage path planning algorithm for autonomous agricultural machines. The main goal of this work was to design an algorithm that can minimize the route.
Chripková, Martina
core  

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

DRAFT FORCE AND EFFICIENCY OF SOIL LOOSENING FOR DIFFERENT DESIGNS OF SUBSOILER PLOW SHANKS [PDF]

Mesopotamia Journal of Agriculture
Many farmers resort to using subsoiler plows with a straight shank to alleviate soil compaction, but require a high draft. To process these problems subsoilers with bent and curved shanks have been designed and manufactured .
Mothana Al-Jarrah, Ghazwan Dahham, Husain Hamood   +2 more
doaj   +1 more source

Path Planning Algorithms for Agricultural Machines

, 2007
Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 9 (2007): Path Planning Algorithms for Agricultural ...
Visala, A., A. Visala, Oksanen, T., T. Oksanen   +3 more
core  

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

Advanced Materials Technologies, EarlyView.
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah, Lennert Purnal, Maximilian Krack, Sander Vijgen, Thijs Vandenryt, Dieter Reenaers, Ronald Thoelen, Wim Deferme   +7 more
wiley   +1 more source

Sunflower Productivity Response to tillage Depth and Harrowing Speed [PDF]

Tikrit Journal for Agricultural Sciences
The field experiment was conducted in one of AL-Kahlaa station' fields - Agricultural Directorate of Maysan Province within soil classified as silty clay loam.
Hussein Jebur, Kasem AL-Halfi, Majed Himoud, Suhad Jassim   +3 more
doaj   +1 more source

ANALYSIS OF OPTIMAL COSTS FOR RESERVES OF SPARE PARTS FOR AGRICULTURAL MACHINES

, 2018
Managing reserves of spare parts for agricultural machinery in agricultural farms represents one of the most important activities in securing smooth functioning, especially having in mind the imperative of continuous agricultural production. Aims of this
Marjan Mirčevski, M. Mihajlović, Milan Milunović, I. Milojević, Radovan Damnjanović, R. Žugić, M. Miljković, S. Stanojević   +7 more
semanticscholar   +1 more source

Perception of bimodal warning cues during remote supervision of autonomous agricultural machines

Agricultural machines that are fully autonomous will still need human supervisors to monitor and troubleshoot system failures. Recognising the emergency as soon as possible is crucial to reduce adverse effects.
Anita Chidera Ezeagba, Daniel Delmar Mann, Cheryl Mary Glazebrook   +2 more
core   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source