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Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100629- (2024)
Agricultural water consumption, constituting 70–80 % of global water usage, faces critical challenges due to climate change, diminishing rainfall, and a burgeoning population. This research presents the development and implementation of a low-cost
Externí odkaz:
https://doaj.org/article/f05a945a7a83428e90d50b0ee8940b4f
Publikováno v:
In Smart Agricultural Technology December 2024 9
Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?
Publikováno v:
In Trends in Plant Science February 2024 29(2):196-209
Akademický článek
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Autor:
Dainelli, Riccardo, Calmanti, Sandro, Pasqui, Massimiliano, Rocchi, Leandro, Di Giuseppe, Edmondo, Monotti, Chiara, Quaresima, Sara, Matese, Alessandro, Di Gennaro, Salvatore Filippo, Toscano, Piero
Publikováno v:
In Climate Services December 2022 28
Autor:
Pádua, Luís, Matese, Alessando, Di Gennaro, Salvatore Filippo, Morais, Raul, Peres, Emanuel, Sousa, Joaquim J.
Publikováno v:
In Computers and Electronics in Agriculture May 2022 196
Autor:
Riccardo Dainelli, Sandro Calmanti, Massimiliano Pasqui, Leandro Rocchi, Edmondo Di Giuseppe, Chiara Monotti, Sara Quaresima, Alessandro Matese, Salvatore Filippo Di Gennaro, Piero Toscano
Publikováno v:
Climate Services, Vol 28, Iss , Pp 100324- (2022)
Crop models fed by seasonal forecasts to deliver yield forecasts are becoming a valuable tool to tackle food production shocks and food price spikes triggered by climate change and extreme events. However, to what extent seasonal climate prediction c
Externí odkaz:
https://doaj.org/article/d1e5c25e65f647ebb94707ab557435b5
Autor:
Salvatore Filippo Di Gennaro, Gian Luca Vannini, Andrea Berton, Riccardo Dainelli, Piero Toscano, Alessandro Matese
Publikováno v:
Drones, Vol 7, Iss 6, p 349 (2023)
Since 2010, more and more farmers have been using remote sensing data from unmanned aerial vehicles, which have a high spatial–temporal resolution, to determine the status of their crops and how their fields change. Imaging sensors, such as multisp
Externí odkaz:
https://doaj.org/article/2f923cae78604342bf1f6a4dac71273f
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract In the last decade there has been an exponential growth of research activity on the identification of correlations between vegetational indices elaborated by UAV imagery and productive and vegetative parameters of the vine. However, the acqu
Externí odkaz:
https://doaj.org/article/1bfc1dc0b8424bfcb269950494602550
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Over the last 50 years, many approaches for extracting plant key parameters from remotely sensed data have been developed, especially in the last decade with the spread of unmanned aerial vehicles (UAVs) in agriculture. Multispectral sensors are very
Externí odkaz:
https://doaj.org/article/74de330470204dac815a7b8877946bc7