Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Arturo Aquino"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Canopy conductance is a crucial factor in modelling plant transpiration and is highly responsive to water stress. The objective of this study is to develop a straightforward method for estimating canopy conductance (gc) in grapevines. To predict gc,
Externí odkaz:
https://doaj.org/article/2e1b4ddcb57449309fff42061dcc90a6
Publikováno v:
Agronomy, Vol 13, Iss 10, p 2463 (2023)
This study focuses on assessing the accuracy of supervised machine learning regression algorithms (MLAs) in predicting actual crop evapotranspiration (ETc act) for a deficit irrigated vineyard of Vitis vinifera cv. Tempranillo, influenced by a typica
Externí odkaz:
https://doaj.org/article/d25828df1477405aa6f3b59b2bebe807
Publikováno v:
IEEE Access, Vol 7, Pp 59451-59465 (2019)
Fruit grading is an essential post-harvest task in the olive industry, where size-and-mass based fruit classification is especially important when processing high-quality table olives. Within this context, this research presents a new methodology aim
Externí odkaz:
https://doaj.org/article/385a394704f949e2a586a0a8fdec43b4
Publikováno v:
IEEE Access, Vol 7, Pp 147629-147641 (2019)
The automation of classification and grading of horticultural products attending to different features comprises a major challenge in food industry. Thus, focused on the olive sector, which boasts of a huge range of cultivars, it is proposed a method
Externí odkaz:
https://doaj.org/article/6f06fd98c7c94d92ba6f5c9eabcaf8b6
Publikováno v:
Agronomy, Vol 12, Iss 5, p 979 (2022)
The standard methods for determining the quality of olives involve chemical methods that are time-consuming and expensive. These limitations lead growers to homogeneous harvesting based on subjective criteria such as intuition and visual decisions. I
Externí odkaz:
https://doaj.org/article/edf47971ce7f4453bbbecfdb8025137f
Autor:
Juan Manuel Ponce, Arturo Aquino, Diego Tejada, Basil Mohammed Al-Hadithi, José Manuel Andújar
Publikováno v:
Agronomy, Vol 12, Iss 1, p 43 (2021)
The popularisation of aerial remote sensing using unmanned aerial vehicles (UAV), has boosted the capacities of agronomists and researchers to offer farmers valuable data regarding the status of their crops. This paper describes a methodology for the
Externí odkaz:
https://doaj.org/article/9926499b03f34a628cc480be4832efc5
Publikováno v:
OENO One, Vol 53, Iss 2 (2019)
Aim: Pruning weight is an indicator of vegetative growth and vigour in grapevine. Traditionally, it is manually determined, which is time-consuming and labour-demanding. This study aims at providing a new, non-invasive and low-cost method for pruning
Externí odkaz:
https://doaj.org/article/e56d03887a904d5c8821f4b36b34f6e3
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 748 (2020)
Within the context of precision agriculture, goods insurance, public subsidies, fire damage assessment, etc., accurate knowledge about the plant population in crops represents valuable information. In this regard, the use of Unmanned Aerial Vehicles
Externí odkaz:
https://doaj.org/article/b7f953286e5c4f418639ec5be2764745
Autor:
Miguel Noguera, Borja Millán, Juan José Pérez-Paredes, Juan Manuel Ponce, Arturo Aquino, José Manuel Andújar
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 723 (2020)
In recent years, many olive orchards, which are a major crop in the Mediterranean basin, have been converted into intensive or super high-density hedgerow systems. This configuration is more efficient in terms of yield per hectare, but at the same ti
Externí odkaz:
https://doaj.org/article/2e144cdd64964a8d9305e550298c639d
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 21204-21218 (2015)
Grapevine flowering and fruit set greatly determine crop yield. This paper presents a new smartphone application for automatically counting, non-invasively and directly in the vineyard, the flower number in grapevine inflorescence photos by implement
Externí odkaz:
https://doaj.org/article/46df9c32d2294575bb358ead448e8712