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ORCIDComputers and Electronics in Agriculture, Volume 168
Volume 168, January 2020
- Andrew Margenot, Terry O'Neill, Rolf Sommer, Venkatesh Akella:
Predicting soil permanganate oxidizable carbon (POXC) by coupling DRIFT spectroscopy and artificial neural networks (ANN). - Jiangtao Ji, Kaikang Chen, Xin Jin, Zhaoyang Wang, Baoqiong Dai, Jingyuan Fan, Xiaojun Lin:
High-efficiency modal analysis and deformation prediction of rice transplanter based on effective independent method. - Gang Wang
, Gilbert Van Stappen, Bernard De Baets:
Automated Artemia length measurement using U-shaped fully convolutional networks and second-order anisotropic Gaussian kernels. - Felipe Napolitano da Fonseca, Jair Minoro Abe, Irenilza de Alencar Nääs, Alexandra Ferreira da Silva Cordeiro, Fábio Vieira do Amaral, Henry Costa Ungaro:
Automatic prediction of stress in piglets (Sus Scrofa) using infrared skin temperature. - Lauren R. Williams, Steven T. Moore, Greg Bishop-Hurley, Dave L. Swain:
A sensor-based solution to monitor grazing cattle drinking behaviour and water intake. - Miguel Condorí, Federico Albesa, Fabiana Altobelli, Gonzalo Duran, Claudio Sorrentino:
Image processing for monitoring of the cured tobacco process in a bulk-curing stove. - Alejandro González, Xavier Sevillano, Isabel Betegón-Putze, David Blasco-Escámez, Marc Ferrer, Ana I. Caño-Delgado:
MyROOT 2.0: An automatic tool for high throughput and accurate primary root length measurement. - Nikrooz Bagheri:
Application of aerial remote sensing technology for detection of fire blight infected pear trees. - S. Barkhordari, Seied Mehdy Hashemy Shahdany, Saleh Taghvaeian, Alireza Firoozfar, José M. Maestre:
Reducing losses in earthen agricultural water conveyance and distribution systems by employing automatic control systems. - Yuzhen Lu, Renfu Lu:
Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers. - Yong Zhong, Ming Zhao:
Research on deep learning in apple leaf disease recognition. - Cheng Li, Ranjeeta Adhikari, Yuan Yao, Alexander G. Miller, Kirby Kalbaugh, Daoliang Li, Krishna Nemali:
Measuring plant growth characteristics using smartphone based image analysis technique in controlled environment agriculture. - Xijia Zhou, Pengxin Wang, Kevin Tansey, Shuyu Zhang, Hongmei Li, Lei Wang:
Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery. - Piero Manna, Antonello Bonfante, Marco Colandrea, Claudio Di Vaio, Giuliano Langella, Luigi Marotta, Florindo Antonio Mileti, Luciana Minieri, Fabio Terribile, Simona Vingiani, Angelo Basile:
A geospatial decision support system to assist olive growing at the landscape scale. - Michael T. Gorczyca, Kifle G. Gebremedhin:
Ranking of environmental heat stressors for dairy cows using machine learning algorithms. - Daniel dos Santos Costa, Rosalvo Ferreira de Oliveira Neto, Rodrigo Pereira Ramos, Victor Gustavo da Silva Oliveira, Bárbara Teruel:
IRIS-GRAPE: An approach for prediction of quality attributes in vineyard grapes inspired by iris biometric recognition. - Domingos Sárvio Magalhães Valente, Abdul Momin, Tony E. Grift, Alan Hansen:
Accuracy and precision evaluation of two low-cost RTK global navigation satellite systems. - Anniek Eerdekens, Margot Deruyck, Jaron Fontaine, Luc Martens, Eli De Poorter, Wout Joseph:
Automatic equine activity detection by convolutional neural networks using accelerometer data. - Mathieu Bonneau, Jehan-Antoine Vayssade, Willy Troupe, Rémy Arquet:
Outdoor animal tracking combining neural network and time-lapse cameras. - Burawich Pamornnak, Prontep Pipitsunthornsan, Sahapong Somwong, Phairote Wounchoum, Kiattisak Wongsopanakul, Mitchai Chongcheawchamnan:
A microwave reflectometer technique for classifying a rubber cup lump. - Said Benaissa, Frank André Maurice Tuyttens, David Plets, Jens Trogh, Luc Martens, Leen Vandaele, Wout Joseph, Bart Sonck:
Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors. - Wen-Hao Su, David C. Slaughter, Steven A. Fennimore:
Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision. - Haseeb Nazki, Sook Yoon, Alvaro Fuentes, Dong Sun Park:
Unsupervised image translation using adversarial networks for improved plant disease recognition. - Juncheng Ma, Yunxia Li, Keming Du, Feixiang Zheng, Lingxian Zhang, Zhihong Gong, Weihua Jiao:
Segmenting ears of winter wheat at flowering stage using digital images and deep learning. - Salavat Mudarisov, Ildar Badretdinov, Zinnur Rakhimov, Ramil Lukmanov, Elmas Nurullin:
Numerical simulation of two-phase "Air-Seed" flow in the distribution system of the grain seeder. - Ignacio A. Quiroz, Germán H. Alférez:
Image recognition of Legacy blueberries in a Chilean smart farm through deep learning. - Flavio A. P. Alvarenga, I. Borges, V. H. Oddy, R. C. Dobos:
Discrimination of biting and chewing behaviour in sheep using a tri-axial accelerometer. - Hongwei Li, Yaning Chen:
Assessing potential land suitable for surface irrigation using groundwater data and multi-criteria evaluation in Xinjiang inland river basin. - L. Michael Griffel, Veronika Vazhnik, Damon S. Hartley, Jason K. Hansen, Mohammad S. Roni:
Agricultural field shape descriptors as predictors of field efficiency for perennial grass harvesting: An empirical proof. - Getulio Fonseca Domingues, Vicente Paulo Soares, Helio Garcia Leite, Antônio Santana Ferraz, Carlos Antonio Alvares Soares Ribeiro, Alexandre Simões Lorenzon, Gustavo Eduardo Marcatti, Thaisa Ribeiro Teixeira, Nero Lemos Martins de Castro, Pedro Henrique Santos Mota, Guilherme Silverio Aquino de Souza, Sady Júnior Martins da Costa de Menezes, Alexandre Rosa dos Santos, Cibele Hummel do Amaral:
Artificial neural networks on integrated multispectral and SAR data for high-performance prediction of eucalyptus biomass. - Peerapong Pakawanich, Apinanthana Udomsakdigool, Charoenchai Khompatraporn:
Robust production allocation model for an agricultural cooperative with yield uncertainty and similar revenue constraints. - Seyyed-Mahdi Hosseini-Motlagh, Mohammad Reza Ghatreh Samani, Firoozeh Abbasi Saadi:
A novel hybrid approach for synchronized development of sustainability and resiliency in the wheat network. - Kangji Li, Zhengdao Sha, Wenping Xue, Xu Chen, Hanping Mao, Gang Tan:
A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm. - Wan-Soo Kim, Dae-Hyun Lee, Yong-Joo Kim:
Machine vision-based automatic disease symptom detection of onion downy mildew. - Alireza Mahdavian, Saeid Minaei, Ce Yang, Farshad Almasganj, Shaban Rahimi, Peter M. Marchetto:
Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls. - Mark A. Lee, Angelo Monteiro, Andrew Barclay, Jon Marcar, Mirena Miteva-Neagu, Joe Parker:
A framework for predicting soft-fruit yields and phenology using embedded, networked microsensors, coupled weather models and machine-learning techniques. - Ömer Baris Özlüoymak, Ali Bolat:
Development and assessment of a novel imaging software for optimizing the spray parameters on water-sensitive papers. - Dercilio Junior Verly Lopes, Greg W. Burgreen, Gabrielly dos Santos Bobadilha, H. Michael Barnes:
Automated means to classify lab-scale termite damage. - Ruben Van de Vijver, Koen C. Mertens, Kurt Heungens, Ben Somers, David Nuyttens, Irene Borra-Serrano, Peter Lootens, Isabel Roldán-Ruiz, Jürgen Vangeyte, Wouter Saeys:
In-field detection of Alternaria solani in potato crops using hyperspectral imaging. - Hanwen Kang, Chao Chen:
Fast implementation of real-time fruit detection in apple orchards using deep learning. - Zhenfen Dong, Yuheng Men, Zhenzhen Liu, Jinpeng Li, Jianwei Ji:
Application of chlorophyll fluorescence imaging technique in analysis and detection of chilling injury of tomato seedlings. - Juan-Pablo Ramirez-Paredes, Uriel Haile Hernández Belmonte:
Visual quality assessment of malting barley using color, shape and texture descriptors. - Justin Sexton, Yvette Everingham, David Donald, Steve Staunton, Ronald D. White:
Investigating the identification of atypical sugarcane using NIR analysis of online mill data. - Hosain Darvishi, Zanyar Farhudi, Nasser Behroozi-Khazaei:
Multi-objective optimization of savory leaves drying in continuous infrared-hot air dryer by response surface methodology and desirability function. - Jiangtao Li, Huiling Zhou, Zhongming Wang, Qingxuan Jia:
Multi-scale detection of stored-grain insects for intelligent monitoring. - Lifeng Wu, Guomin Huang, Junliang Fan, Xin Ma, Hanmi Zhou, Wenzhi Zeng:
Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction. - Mei Shin Oh, Zhiyuan Chen, Ebrahim Jahanshiri, Dino Isa, Yee Wan Wong:
An economic feasibility assessment framework for underutilised crops using Support Vector Machine. - Kazumasa Wakamori, Ryosuke Mizuno, Gota Nakanishi, Hiroshi Mineno:
Multimodal neural network with clustering-based drop for estimating plant water stress. - Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George:
Enforcing mean reversion in state space models for prawn pond water quality forecasting. - Jordi Gené-Mola, Eduard Gregorio-Lopez, Fernando Alfredo Auat Cheeín, Javier Guevara, Jordi Llorens, Ricardo Sanz-Cortiella, Alexandre Escolà, Joan Ramón Rosell-Polo:
Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow.
- Decíola Fernandes de Sousa, Sueli Rodrigues, Herdjania Veras de Lima, Lorena Torres Chagas:
R software packages as a tool for evaluating soil physical and hydraulic properties.
- Yang Wang, Baoming Li, Chao Liang, Weichao Zheng:
Dynamic simulation of thermal load and energy efficiency in poultry buildings in the cold zone of China.
- Yasin Osroosh, Lav R. Khot, R. Troy Peters:
Corrigendum to "Detecting fruit surface wetness using a custom-built low-resolution thermal-RGB imager". [Comput. Electron. Agric. 157 (2019) 509-517].
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