Computers and Electronics in Agriculture

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A diagnostic visible/near infrared tool for a fully automated olive ripeness evaluation in a view of a simplified optical system
Computers and Electronics in Agriculture - Tập 180 - Trang 105887 - 2021
A. Tugnolo, V. Giovenzana, R. Beghi, S. Grassi, C. Alamprese, A. Casson, E. Casiraghi, R. Guidetti
Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks
Computers and Electronics in Agriculture - Tập 175 - Trang 105548 - 2020
Fabricio de Lima Weber, Vanessa Aparecida de Moraes Weber, Geazy Vilharva Menezes, Adair da Silva Oliveira Junior, Daniela Arestides Alves, Marcus Vinicius Morais de Oliveira, Edson Takashi Matsubara, Hemerson Pistori, Urbano Gomes Pinto de Abreu
Integrated decision support system (DSS) for manure management: A review and perspective
Computers and Electronics in Agriculture - Tập 57 - Trang 190-201 - 2007
S. Karmakar, C. Laguë, J. Agnew, H. Landry
Sensor nodes fault detection for agricultural wireless sensor networks based on NMF
Computers and Electronics in Agriculture - Tập 161 - Trang 214-224 - 2019
Jimmy Ludeña-Choez, Juan J. Choquehuanca-Zevallos, Efraín Mayhua-López
SAIFA: A web-based system for Integrated Production of olive cultivation
Computers and Electronics in Agriculture - Tập 78 - Trang 231-237 - 2011
Francisco Javier Orellana, José del Sagrado, Isabel María del Águila
A neural network system for the protection of citrus crops from frost damage
Computers and Electronics in Agriculture - Tập 16 - Trang 177-187 - 1997
C. Robinson, N. Mort
Development and validation of a predictive model for calving time based on sensor measurements of ingestive behavior in dairy cows
Computers and Electronics in Agriculture - Tập 161 - Trang 62-71 - 2019
Nils Zehner, Joël J. Niederhauser, Matthias Schick, Christina Umstatter
Comparison of conventional measurement and LiDAR-based measurement for crown structures
Computers and Electronics in Agriculture - Tập 98 - Trang 242 - 2013
Feng Zhongke, Yan Fei, Jiao Youquan, Xu Hui, Xu Weiheng, Su Zhifang
Tree crown projection area and crown volume are the important parameters for the estimation of biomass and other forestry science applications. However, it is difficult to validate their accuracy. In this research, measurement errors were quantified based on the 3D virtual LiDAR dataset of 22 common tree species in Beijing, China, which were derived from high-resolution terrestrial laser scanner. ...... hiện toàn bộ
#Terrestrial LiDAR #Tree crown projection #Crown volume #Crown height
Detection of citrus pests in double backbone network based on single shot multibox detector
Computers and Electronics in Agriculture - Tập 212 - Trang 108158 - 2023
Jun Qiang, Wuji Liu, Xixi Li, Ping Guan, Yunlong Du, Ben Liu, Guanglei Xiao
Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping
Computers and Electronics in Agriculture - Tập 212 - Trang 108064 - 2023
Fitsum T Teshome, Haimanote K Bayabil, Gerrit Hoogenboom, Bruce Schaffer, Aditya Singh, Yiannis Ampatzidis
Tổng số: 3,354   
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