Results 161 to 170 of about 395,420 (282)

A computer system supporting agricultural machinery and farm tractor purchase decisions. [PDF]

Heliyon, 2020
Durczak K, Ekielski A, Kozłowski R, Żelaziński T, Pilarski K.   +4 more
europepmc   +1 more source

Thin‐Film Thermal Sensors on Chitosan Substrates for Sustainable Transient Electronics

Advanced Electronic Materials, EarlyView.
Fully transient thin‐film temperature sensors are realized on pure chitosan substrates using Mo‐based RTDs and a‐IGZO/Mo thermistors. The devices exhibit high sensitivity, mechanical flexibility, humidity‐aware operation, and complete dissolution in natural solvents.
Ahmed Rasheed, Soufiane Krik, Sundus Riaz, Hafiza Faiqa Maqsood, Jacopo Nicoletti, Riccardo Zamboni, Guglielmo Trentini, Pietro Ibba, Franco Cacialli, Andrea Gaiardo, Giuseppe Cantarella, Niko Münzenrieder, Paolo Lugli, Giovanni Antonio Salvatore, Luisa Petti   +14 more
wiley   +1 more source

Statement: Agricultural machinery display [PDF]

, 2014

core  

From compaction to coexistence: A review of chassis engineering for intelligent agricultural machinery in complex paddy field ecosystems. [PDF]

Sci Prog
Tang Z, Chu P, Ding Z, Fang M.
europepmc   +1 more source

Application and Research of Computer Intelligent Technology in Modern Agricultural Machinery Equipment.

Comput Intell Neurosci, 2022
Zhou H, Liu J, Huang F.
europepmc   +1 more source

Using Long Short-Term Memory for Building Outdoor Agricultural Machinery. [PDF]

Front Neurorobot, 2020
Wu CH, Lu CY, Zhan JW, Wu HT.
europepmc   +1 more source

Capacitive Pixelated CMOS Electronic Nose

Advanced Electronic Materials, EarlyView.
A 1024‐pixel CMOS capacitive E‐nose with inkjet‐printed MOFs and polymer layers yields gas‐specific capacitance fingerprints under humid conditions, discriminating toluene from 2‐butanone at low power. ABSTRACT Although some of the human senses can nowadays be replaced by low‐cost electronic sensors such as microphones and image sensors, a compact low ...
M. A. Basyooni‐M. Kabatas, Tao Shen, Kaï Betlem, Chunyu Huang, Monique A. van der Veen, Frans Widdershoven, Murali K. Ghatkesar, Peter G. Steeneken   +7 more
wiley   +1 more source

An efficient assignment of multiple agricultural machinery tasks based on Chaotic Cauchy Elite Variable Snake Optimization Algorithm. [PDF]

PLoS One
Xiang R, Liu X, Tian M, Ban C, Li R, Zhou J.   +5 more
europepmc   +1 more source

ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets. [PDF]

Sensors (Basel), 2020
Wang Y, Liu H, Krogmeier J, Reibman A, Buckmaster D.   +4 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source