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Six decades of warming and drought in the world’s top wheat-producing countries offset the benefits of rising CO2 to yield

Scientific reports, 2022-05, Vol.12 (1), p.7921-10, Article 7921

2022

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LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands

Remote sensing of environment, 2011-08, Vol.115 (8), p.2141-2151

2011

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Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm

Agricultural and forest meteorology, 2014-07, Vol.192-193, p.140-148

2014

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Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (11), p.2049

2021

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SWIR-based spectral indices for assessing nitrogen content in potato fields

International journal of remote sensing, 2010-10, Vol.31 (19), p.5127-5143

2010

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Studying the Feasibility of Assimilating Sentinel-2 and PlanetScope Imagery into the SAFY Crop Model to Predict Within-Field Wheat Yield

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2395

2021

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Stem traits promote wheat climate-resilience

Frontiers in plant science, 2024-07, Vol.15, p.1388881

2024

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Optimizing Top Dressing Nitrogen Fertilization Using VENμS and Sentinel-2 L1 Data

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (19), p.3934

2021

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Wheat phenomics in the field by RapidScan: NDVI vs. NDRE

Israel journal of plant sciences, 2017-01 (3-4), p.41-54

Bonfil, David. J

2017

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Physiological and Yield Responses of Spring Wheat Cultivars under Realistic and Acute Levels of Ozone

Atmosphere, 2021-11, Vol.12 (11), p.1392

2021

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Ground-level hyperspectral imagery for detecting weeds in wheat fields

Precision agriculture, 2013-12, Vol.14 (6), p.637-659

2013

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Assessing adaptive requirements and breeding potential of spelt under Mediterranean environment

Scientific reports, 2021-03, Vol.11 (1), p.7208-7208, Article 7208

2021

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Distinguishing between Bread Wheat and Spelt Grains Using Molecular Markers and Spectroscopy

Journal of agricultural and food chemistry, 2019-04, Vol.67 (13), p.3837-3841

2019

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In-Field Comparative Study of Landraces vs. Modern Wheat Genotypes under a Mediterranean Climate

Plants (Basel), 2021-11, Vol.10 (12), p.2612

2021

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Use of thermal imaging and the photochemical reflectance index (PRI) to detect wheat response to elevated CO2 and drought

Plant, cell and environment, 2023-01, Vol.46 (1), p.76-92

2023

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Early or late? The role of genotype phenology in determining wheat response to drought under future high atmospheric CO2 levels

Plant, cell and environment, 2022-12, Vol.45 (12), p.3445-3461

2022

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Use of thermal imaging and the photochemical reflectance index (PRI) to detect wheat response to elevated CO 2 and drought

Plant, cell and environment, 2023-01, Vol.46 (1), p.76-92

2023

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Early or late? The role of genotype phenology in determining wheat response to drought under future high atmospheric CO 2 levels

Plant, cell and environment, 2022-12, Vol.45 (12), p.3445-3461

2022

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Hyperspectral image dynamic range reconstruction using deep neural network-based denoising methods

Machine vision and applications, 2024-05, Vol.35 (3), p.39, Article 39

2024

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New flavors from old wheats: exploring the aroma profiles and sensory attributes of local Mediterranean wheat landraces

Frontiers in nutrition (Lausanne), 2023-05, Vol.10, p.1059078-1059078

2023

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Field spectroscopy for weed detection in wheat and chickpea fields

International journal of remote sensing, 2013, Vol.34 (17), p.6094-6108

2013

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Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy

Field crops research, 2011-02, Vol.121 (1), p.125-135

2011

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Low-Cost Dispersive Hyperspectral Sampling Scanner for Agricultural Imaging Spectrometry

IEEE sensors journal, 2023-08, Vol.23 (16), p.18292-18303

2023

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Chickpea leaf water potential estimation from ground and VENµS satellite

Precision agriculture, 2024-06, Vol.25 (3), p.1658-1683

2024

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Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite

Precision agriculture, 2024-06, Vol.25 (3), p.1684-1687

2024

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Six decades of warming and drought in the world’s top wheat-producing countries offset the benefits of rising CO2 to yield

LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands

Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm

Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change

SWIR-based spectral indices for assessing nitrogen content in potato fields

Studying the Feasibility of Assimilating Sentinel-2 and PlanetScope Imagery into the SAFY Crop Model to Predict Within-Field Wheat Yield

Stem traits promote wheat climate-resilience

Optimizing Top Dressing Nitrogen Fertilization Using VENμS and Sentinel-2 L1 Data

Wheat phenomics in the field by RapidScan: NDVI vs. NDRE

Physiological and Yield Responses of Spring Wheat Cultivars under Realistic and Acute Levels of Ozone

Ground-level hyperspectral imagery for detecting weeds in wheat fields

Assessing adaptive requirements and breeding potential of spelt under Mediterranean environment

Distinguishing between Bread Wheat and Spelt Grains Using Molecular Markers and Spectroscopy

In-Field Comparative Study of Landraces vs. Modern Wheat Genotypes under a Mediterranean Climate

Use of thermal imaging and the photochemical reflectance index (PRI) to detect wheat response to elevated CO2 and drought

Early or late? The role of genotype phenology in determining wheat response to drought under future high atmospheric CO2 levels

Use of thermal imaging and the photochemical reflectance index (PRI) to detect wheat response to elevated CO 2 and drought

Early or late? The role of genotype phenology in determining wheat response to drought under future high atmospheric CO 2 levels

Hyperspectral image dynamic range reconstruction using deep neural network-based denoising methods

New flavors from old wheats: exploring the aroma profiles and sensory attributes of local Mediterranean wheat landraces

Field spectroscopy for weed detection in wheat and chickpea fields

Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy

Low-Cost Dispersive Hyperspectral Sampling Scanner for Agricultural Imaging Spectrometry

Chickpea leaf water potential estimation from ground and VENµS satellite

Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite

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