Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Frits K van Evert"'
Autor:
Chuang Zhao, Claudio O Stockle, Tina Karimi, Roger Leroy Nelson, Frits K van Evert, Annette A Pronk, Anne A Riddle, Elizabeth Marshall, Rubí Raymundo, Yan Li, Kaiyu Guan, Dave Gustafson, Gerrit Hoogenboom, Xi Wang, Jiahui Cong, Senthold Asseng
Publikováno v:
Environmental Research Letters, Vol 17, Iss 10, p 104034 (2022)
Potatoes are a mainstay of human diets and 4 million metric tons are produced annually in the United States. Simulations of future crop production show that climate change is likely to reduce the yields of the major grain crops around the world, but
Externí odkaz:
https://doaj.org/article/8408229771134db1b1e546e0ceb1fc00
Autor:
Panagiotis Karagiannis, Panagiotis Kotsaris, Vangelis Xanthakis, Panagiotis Vasilaros, George Michalos, Sotiris Makris, Frits K. van Evert, Ard T. Nieuwenhuizen, Spyros Fountas, George Chryssolouris
Publikováno v:
Smart Agricultural Technology, Vol 10, Iss , Pp 100707- (2025)
This paper focuses on the design and implementation of an intelligent system for planning operations of an agricultural robot. The aim of this intelligent system is to choose automatically the appropriate resources to execute certain agricultural ope
Externí odkaz:
https://doaj.org/article/6776e5c3503a4d1a9b471a00e06ffe27
Autor:
Keiji Jindo, Osamu Kozan, Kohtaro Iseki, Bernardo Maestrini, Frits K. van Evert, Yilma Wubengeda, Egidio Arai, Yosio Edemir Shimabukuro, Yoshito Sawada, Corné Kempenaar
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 8, Iss 1, Pp 1-16 (2021)
Abstract Using satellite remote-sensing is a useful approach for agriculture to monitor plant and soil conditions and provide decision-making support to farmers. Recently, several types of tools and indices by the satellite remote-sensing have been d
Externí odkaz:
https://doaj.org/article/a36cefc278ef4e4e9cf55663d664f7c7
Autor:
Manuel Hernández-Pajares, Germán Olivares-Pulido, Victoria Graffigna, Alberto García-Rigo, Haixia Lyu, David Roma-Dollase, M. Clara de Lacy, Carles Fernández-Prades, Javier Arribas, Marc Majoral, Zizis Tisropoulos, Panagiotis Stamatelopoulos, Machi Symeonidou, Michael Schmidt, Andreas Goss, Eren Erdogan, Frits K. van Evert, Pieter M. Blok, Juan Grosso, Emiliano Spaltro, Jacobo Domínguez, Esther López, Alina Hriscu
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3845 (2022)
This paper characterizes, with static and roving GNSS receivers in the context of precision agriculture research, the hybrid ionospheric-geodetic GNSS model Wide-Area Real-Time Kinematics (WARTK), which computes and broadcasts real-time corrections f
Externí odkaz:
https://doaj.org/article/8256fb153918424d8a9c2c98a4d54059
Publikováno v:
Journal of Field Robotics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7187ee744b4560899383b5a4cf42df8f
https://doi.org/10.1002/rob.22196
https://doi.org/10.1002/rob.22196
Publikováno v:
Precision Agriculture: Modelling
Precision Agriculture: Modelling. Cham: Springer
Precision Agriculture: Modelling ISBN: 9783031152573
Precision Agriculture: Modelling. Cham: Springer
Precision Agriculture: Modelling ISBN: 9783031152573
Modern agriculture provides us with an abundance of cheap and high-quality food but it also has a large negative impact on the environment. It is clear that agriculture must become more sustainable, even more so in the face of climate change. Precisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8d86ca947522ae86a5b9419db94e3b
https://research.wur.nl/en/publications/introduction-169
https://research.wur.nl/en/publications/introduction-169
Autor:
Thomas H. Been, Corné Kempenaar, Frits K. van Evert, Idse E. Hoving, Geert J. T. Kessel, Willem Dantuma, Johan A. Booij, Leendert P. G. Molendijk, Fedde D. Sijbrandij, Koen van Boheemen
Publikováno v:
Precision Agriculture: Modelling
Precision Agriculture: Modelling. Cham: Springer
Precision Agriculture: Modelling ISBN: 9783031152573
Precision Agriculture: Modelling. Cham: Springer
Precision Agriculture: Modelling ISBN: 9783031152573
The development of the Akkerweb service platform (https://akkerweb.eu) was started around 2010. It is an open platform in precision farming, providing the maps, services, data, and connections required, in principle, for any smart farming application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc9ee72fd92b3d3ea113e8e4c32fa09e
https://research.wur.nl/en/publications/akkerweb-and-farmmaps-development-of-open-service-platforms-for-p
https://research.wur.nl/en/publications/akkerweb-and-farmmaps-development-of-open-service-platforms-for-p
Publikováno v:
Agronomy, Vol 10, Iss 5, p 743 (2020)
Farming faces challenges that increase the adverse effects on farms’ economics, labor, and the environment. Smart farming technologies (SFTs) are expected to assist in reverting this situation. In this work, 1064 SFTs were derived from scientific p
Externí odkaz:
https://doaj.org/article/d074f68a5e7e4c038a25343c75c99281
Autor:
Luca Bechini, Nicole Koenderink, Hein F.M. ten Berge, Wim Corre, Frits K. van Evert, Arianna Facchi, Olfa Gharsallah, Elena Gorriz-Mifsud, Carlo Grignani, Michael den Herder, Yolaine Hily, Eric Justes, Aurélien Lepennetier, Barbara Moretti, Paul Newell-Price, Luca Nonini, Roberto Oberti, Sonia Ramonteu, Mercedes Rois, Frank de Ruijter, Dario Sacco, Peter M. Schuler, Don Willems, Anneke Zandstra, Jan Top
Publikováno v:
Italian Journal of Agronomy, Vol 12, Iss 2 (2017)
Many excellent results are obtained in agricultural and forestry research projects, but their practical adoption is often limited. The aim of the European project VALERIE is to increase the transfer and application of innovations produced by research
Externí odkaz:
https://doaj.org/article/8c69c38886c24c48b652dd34ab8f9ac8
Publikováno v:
Biosystems Engineering, 208, 213-233
Biosystems Engineering 208 (2021)
Biosystems Engineering 208 (2021)
The growth and the harvestability of a broccoli crop is monitored by the size of the broccoli head. This size estimation is currently done by humans, and this is inconsistent and expensive. The goal of our work was to develop a software algorithm tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0570dcb34aca6d27471ad97390a349c
https://doi.org/10.1016/j.biosystemseng.2021.06.001
https://doi.org/10.1016/j.biosystemseng.2021.06.001