Search results for "precision farming"

showing 9 items of 9 documents

Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling

2022

Atmospheric Scienceprecision farmingradiative transfer modelsApplied Mathematicsplant nitrogen uptake estimationComputers in Earth Sciencesmachine learning regression algorithmsGeneral Environmental ScienceEuropean Journal of Remote Sensing
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Precision Oliviculture: Research Topics, Challenges, and Opportunities—A Review

2022

Since the beginning of the 21st century, there has been an increase in the agricultural area devoted to olive growing and in the consumption of extra virgin olive oil (EVOO). The continuous change in cultivation techniques implemented poses new challenges to ensure environmental and economic sustainability. In this context, precision oliviculture (PO) is having an increasing scientific interest and impact on the sector. Its implementation depends on various technological developments: sensors for local and remote crop monitoring, global navigation satellite system (GNSS), equipment and machinery to perform site-specific management through variable rate application (VRA), implementation of g…

General Earth and Planetary Sciencesolive tree management precision farming remote sensing proximal sensing precision irrigation precision fertilization variable rate application smart farming precision olivicultureRemote Sensing
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Analysis of Biophysical Variables in an Onion Crop (Allium cepa L.) with Nitrogen Fertilization by Sentinel-2 Observations

2022

The production of onions bulbs (Allium cepa L.) requires a high amount of nitrogen. Ac cording to the demand of sustainable agriculture, the information-development and communication technologies allow for improving the efficiency of nitrogen fertilization. In the south of the province of Buenos Aires, Argentina, between 8000 and 10,000 hectares per year−1 are cultivated in the districts of Villarino and Patagones. This work aimed to analyze the relationship of biophysical variables: leaf area index (LAI), canopy chlorophyll content (CCC), and canopy cover factor (fCOVER), with the nitrogen fertilization of an intermediate cycle onion crop and its effects on yield. A field trial study with …

NitrogenNitrógenoLeaf Area IndexPrecision AgricultureIndice de Superfície FoliarIndice de VegetaciónCebollaRemote SensingAgricultura de PrecisiónOnionsSentinel - 2Teledetecciónvegetation index; LAI; nitrogen; remote sensing; Sentinel-2; precision farmingCentinela -2Agronomy and Crop ScienceVegetation IndexAgronomy; Volume 12; Issue 8; Pages: 1884
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Manuale tecnico operativo progetto AVIGERE

2014

INTRODUZIONE Chi opera nel campo dell’agricoltura e più specificatamente nella viticoltura, ha visto nel tempo l’evoluzione degli obiettivi produttivi e dunque il modo di gestire il vigneto, passando dalla massimizzazione della produttività al “minor costo”, alla massimizzazione della qualità “a tutti i costi”, fino ad arrivare ad una visione del sistema vigneto come entità inserita nel contesto ambientale (in senso più ampio del termine) e non semplicemente sede di uno scopo produttivo e in grado di produrre beni tangibili e intangibili. Il passaggio concettuale: “fine produttivo” – “fine polifunzionale”, si concretizza nel termine “sostenibilità”. Quest’ultimo spesso confuso e abusato, po…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreePrecision farming viticoltura reti WSN
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Utilizzo di immagini in multispettrale da satellite per lo studio della variabilità di alcuni parametri vegetativi e produttivi del vigneto

2007

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeVitis vinifera remote sensing precision farming NDVI
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A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm histo…

2013

Different remote sensing methods for detecting variations in agricultural fields have been studied in last two decades. There are already existing systems for planning and applying e.g. nitrogen fertilizers to the cereal crop fields. However, there are disadvantages such as high costs, adaptability, reliability, resolution aspects and final products dissemination. With an unmanned aerial vehicle (UAV) based airborne methods, data collection can be performed cost-efficiently with desired spatial and temporal resolutions, below clouds and under diverse weather conditions. A new Fabry-Perot interferometer based hyperspectral imaging technology implemented in an UAV has been introduced. In this…

UAVtaskField (computer science)wheat/dk/atira/pure/sustainabledevelopmentgoals/zero_hungerfarm machinerySDG 2 - Zero HungerVariable Rate Applicationta119Remote sensingData collectionAgricultural machinerybusiness.industryprecision farmingHyperspectral imagingcomputer.file_formatta4111fertilizerhyperspectralGeographyVRAPrecision agricultureRaster graphicsScale (map)businesscomputer
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Image acquisition and processing for precision farming applications

2015

Initially developed for technical industrial sectors such as medicine or aeronautics, imaging technics are more and more used since 30 years in agriculture and viticulture. The development of acquisition tool and the decreasing of the calculation time allowed using imagery in laboratory under controlled conditions. At the beginning of the 90’s, the concept of Precision Farming has been developed in the USA, considering a field as a heterogeneous area needing different input in terms of fertiliser or protection product. In the same time, the aperture of the GPS system for civil applications has allowed the development of remote sensing domain. Combining GPS information and imagery conducted …

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyimage acquisitionprecision farming applicationsimage processing
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Precison Farming: l’Agricoltura 4.0

2016

Relazione presentata a Bologna il 9 novembre, presso il palazzo dei Congressi dell’Ente Fiere di Bologna, in occasione della 42esima manifestazione dell’EIMA, il Corso per Giornalisti dell’UNAGA dal titolo: ” Ruolo e responsabilità del giornalista nel promuovere la lotta allo spreco attraverso l’utilizzo delle nuove tecnologie”

precision farming agricoltura di precisioneSettore AGR/09 - Meccanica Agraria
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Biomass estimator for NIR image with a few additional spectral band images taken from light UAS

2012

A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.

ta113Computer scienceFabry-Perotprecision farmingNear-infrared spectroscopyPoint cloudEstimatorBiomassSpectral bandsNIRBiomass estimationfertilizerestimatorWavelength/dk/atira/pure/sustainabledevelopmentgoals/zero_hungerPrecision agriculturespectral imagerSDG 2 - Zero HungerImage resolutionRemote sensingProceedings of SPIE
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