Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
wiki:publications [2020/01/26 09:22]
João Valente 		wiki:publications [2022/09/21 19:35] (current)
João Valente
Line 29: Line 29:
 __International journals__ __International journals__
  
-    * Niels Anders, Mike Smith, Juha Suomalainen,​ Erik Cammeraat, **João Valente**, Saskia Keesstra. Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV. Earth Science Informatics 2020. Accepted. +    ​* S. de Jong, H. Baja, K. Tamminga and **J. Valente**, "APPLE MOTS: Detection, Segmentation and Tracking of Homogeneous Objects Using MOTS*,"​ in IEEE Robotics and Automation Letters, 2022, doi: 10.1109/​LRA.2022.3199026. 
 + 
 +    * Zhang, Chenglong; Mouton, Christiaan; **Valente, João**; Kooistra, Lammert; Ooteghem, Rachel; Hoog, Dirk; Dalfsen, Pieter; Jong, Peter. (2022). Automatic flower cluster estimation in apple orchards using aerial and ground based point clouds. Biosystems Engineering. 221. 164-180. 10.1016/​j.biosystemseng.2022.05.004.  
 + 
 +    * **Valente, João**; Hiremath, Santosh; Ariza-Sentís,​ Mar; Doldersum, Marty; Kooistra, Lammert. (2022). Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning. International Journal of Applied Earth Observation and Geoinformation. 112. 102864. 
 + 
 +    * Ghaffarian, Saman, Voort, Mariska, **Valente, João**, Tekinerdogan,​ Bedir, De Mey, Yann. (2022). Machine learning-based farm risk management: A systematic mapping review. Computers and Electronics in Agriculture. 192. 106631.  
 + 
 +    * Aguiar, A.S.; Magalhães, S.A.; dos Santos, F.N.; Castro, L.; Pinho, T.; **Valente, J.**; Martins, R.; Boaventura-Cunha,​ J. Grape Bunch Detection at Different Growth Stages Using Deep Learning Quantized Models. Agronomy 2021, 11, 1890. 
 +     
 +    * Krul, S.; Pantos, C.; Frangulea, M.; **Valente, J.** Visual SLAM for Indoor Livestock and Farming Using a Small Drone with a Monocular Camera: A Feasibility Study. Drones 2021, 5, 41.  
 + 
 +    * Zhang, C., **Valente, J.**, Kooistra, L. et al. Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches. Precision Agric (2021).  
 + 
 +    * Ivošević, B.; Lugonja, P.; Brdar, S.; Radulović, M.; Vujić, A.; **Valente, J**. UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia). Remote Sens. 2021, 13, 3272.  
 + 
 +    * Ghaffarian, S.; **Valente, J.**; van der Voort, M.; Tekinerdogan,​ B. Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review. Remote Sens. 2021, 13, 2965.  
 + 
 +    * Mawrence, R.; Munniks, S.; **Valente**,​ J. Calibration of Electrochemical Sensors for Nitrogen Dioxide Gas Detection Using Unmanned Aerial Vehicles. Sensors 2020, 20, 7332. 
 + 
 +    * **Valente, J.**, Almeida, R. & Kooistra, L. Inferring ethylene temporal and spatial distribution in an apple orchard (Malus domestica Borkh): a pilot study for optimal sampling with a gas sensor. Hortic. Environ. Biotechnol. 62, 213–224 (2021).  
 + 
 +    * Araujo, J.O.; **Valente, J.**; Kooistra, L.; Munniks, S.; Peters, R.J.B. Experimental Flight Patterns Evaluation for a UAV-Based Air Pollutant Sensor. Micromachines 2020, 11, 768. 
 + 
 +    * Velasco, O.; **Valente, J.**; Alhama Blanco, P.J.; Abderrahim, M. An Open Simulation Strategy for Rapid Control Design in Aerial and Maritime Drone Teams: A Comprehensive Tutorial. Drones 2020, 4, 37.  
 + 
 +    * Apolo-Apolo,​ O. E., Pérez-Ruiz,​ M., Martínez-Guanter,​ J., **Valente, J.** (2020). A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique. Frontiers in Plant Science, 11, [1086]. ​  
 + 
 +    * **João Valente**, Bilal Sari, Lammert Kooistra, Henk Kramer, and Sander Mücher. Automated crop plant counting from very high-resolution aerial imagery. Precision Agriculture (2020). Accepted. ​  
 + 
 +    ​* Niels Anders, Mike Smith, Juha Suomalainen,​ Erik Cammeraat, **João Valente**, Saskia Keesstra. Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV. Earth Science Informatics ​(2020). 
  
     * Siebring, J.; **Valente, J.**; Domingues Franceschini,​ M.H.; Kamp, J.; Kooistra, L. Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection. Sensors 2019, 19, 5477.      * Siebring, J.; **Valente, J.**; Domingues Franceschini,​ M.H.; Kamp, J.; Kooistra, L. Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection. Sensors 2019, 19, 5477. 
Line 78: Line 108:
  
 __International conferences and workshops__ __International conferences and workshops__
 +
 +    * Mar Ariza-Sentís,​ Sergio Veléz, **João Valente**. Automatic tracking of grape clusters and early phenotyping from UAV video sequences. 7th International Plant Phenotyping Symposium. 2022. Accepted. ​
 +
 +    * Zhang, Chenglong; Kooistra, Lammert; **Valente, Joao**; Guo, Leifeng; Wang, Wensheng. High-resolution Aerial RGB Imagery For Flowering Intensity Quantification:​ A Triennial Study In A High-density Apple Orchard. 41st EARSeL (Earth Observation for Environmental Monitoring) Symposium. 2022. Accepted. ​
 +
 +    * Tamminga, K., De Jong, S., **Valente, J.** (2021). 116. A human-borne sensor device to foster participatory sensing in precision orchard management. In J. V. Stafford (Ed.), Precision agriculture ’21 (pp. 965-971). [116] Wageningen Academic Publishers.
 +
 +    * Frangulea, M., Pantos, C., Giuffrida, V., **Valente, J.** (2021). 59. Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses. In J. V. Stafford (Ed.), Precision agriculture ’21 (pp. 493-500). [59] Wageningen Academic Publishers.
 +
 +    * O. Velasco, **J. Valente** and A. Y. Mersha, "An Adaptive Informative Path Planning Algorithm for Real-time Air Quality Monitoring Using UAVs," 2020 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece, 2020, pp. 1121-1130
 +
 +    * De Groot, J., Apolo-Apolo Enrique O., **Valente., J.** (2020). Development of a UAV image Dataset for Cauliflowers Ripeness Classification with Deep Learning. Poster session presented at Computer Vision Problems in Plant Phenotyping (CVPPP 2020), Glasgow, UK.
 +
 +    * **Valente, J.**, Kooistra, L. (2020). MOOC drones for agriculture:​ The making-of. In A. Cardoso, G. R. Alves, & T. Restivo (Eds.), Proceedings of the 2020 IEEE Global Engineering Education Conference, EDUCON 2020 (pp. 1692-1695). [9125309] (IEEE Global Engineering Education Conference, EDUCON; Vol. 2020-April). IEEE computer society. ​
 +
 +    * Velasco, O., **Valente, J.** (2020). Online drone education, a mapping review. In A. Cardoso, G. R. Alves, & T. Restivo (Eds.), Proceedings of the 2020 IEEE Global Engineering Education Conference, EDUCON 2020 (pp. 1286-1289). [9125268] (IEEE Global Engineering Education Conference, EDUCON; Vol. 2020-April). IEEE computer society. ​
  
     * **J. Valente**, L. Kooistra and S. Mucher, Fast Classification of Large Germinated Fields Via High-Resolution UAV Imagery, Presented in IEEE 15th International Conference on Automation Science and Engineering (CASE 2019), 22-26 August 2019, Vancouver, BC, Canada.     * **J. Valente**, L. Kooistra and S. Mucher, Fast Classification of Large Germinated Fields Via High-Resolution UAV Imagery, Presented in IEEE 15th International Conference on Automation Science and Engineering (CASE 2019), 22-26 August 2019, Vancouver, BC, Canada.