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Book
Hyperspectral Remote Sensing of Agriculture and Vegetation
Authors: --- --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

Keywords

hyperspectral LiDAR --- Red Edge --- AOTF --- vegetation parameters --- leaf chlorophyll content --- DLARI --- MDATT --- adaxial --- abaxial --- spectral reflectance --- peanut --- field spectroscopy --- hyperspectral --- heavy metals --- grapevine --- PLS --- SVM --- MLR --- multi-angle observation --- hyperspectral remote sensing --- BRDF --- vegetation classification --- object-oriented segmentation --- spectroscopy --- artificial intelligence --- proximal sensing data --- precision agriculture --- spectra --- vegetation --- plant --- classification --- discrimination --- feature selection --- waveband selection --- support vector machine --- random forest --- Natura 2000 --- invasive species --- expansive species --- biodiversity --- proximal sensor --- macronutrient --- micronutrient --- remote sensing --- hyperspectral imaging --- platforms and sensors --- analytical methods --- crop properties --- soil characteristics --- classification of agricultural features --- canopy spectra --- chlorophyll content --- continuous wavelet transform (CWT) --- correlation coefficient --- partial least square regression (PLSR) --- reproducibility --- replicability --- partial least squares --- Ethiopia --- Eragrostis tef --- hyperspectral remote sensing for soil and crops in agriculture --- hyperspectral imaging for vegetation --- plant traits --- high-resolution spectroscopy for agricultural soils and vegetation --- hyperspectral databases for agricultural soils and vegetation --- hyperspectral data as input for modelling soil, crop, and vegetation --- product validation --- new hyperspectral technologies --- future hyperspectral missions


Book
Biodiversity, Distribution and Conservation of Plants and Fungi : Effects of Global Warming and Environmental Stress
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue brings together some interconnected topics related to fungi and plants such as biodiversity, taxonomy, conservation, molecular phylogeny, ecology, and plant–fungal interactions. Additionally, some applied aspects are covered, such as phytoremediation, the improvement of spinach growth by biochar and arbuscular mycorrhizal fungi, bio-friendly solutions for waste reduction, the accumulation of rare-earth elements by wild edible mushrooms, etc.


Book
Soil, Water and Nitrates Management in Horticultural Production
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Soil, water, and nitrogen management are critical for crop productivity and quality in horticulture as well as for reducing negative impacts on ecosystems and greenhouse gas emissions. This Special Issue is a collection of seven important research works addressing solutions or strategies that can be implemented in order to use these three factors of production in a more sustainable way and to reduce inorganic nitrogen applications by considering the great importance of circular agriculture and the use of microorganisms. Aside from the relevance of the topics in this Special Issue, the studies included within it may trigger the development of new strategies for more sustainable and environmentally friendly intensive agriculture.


Book
Biodiversity, Distribution and Conservation of Plants and Fungi : Effects of Global Warming and Environmental Stress
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue brings together some interconnected topics related to fungi and plants such as biodiversity, taxonomy, conservation, molecular phylogeny, ecology, and plant–fungal interactions. Additionally, some applied aspects are covered, such as phytoremediation, the improvement of spinach growth by biochar and arbuscular mycorrhizal fungi, bio-friendly solutions for waste reduction, the accumulation of rare-earth elements by wild edible mushrooms, etc.


Book
Soil, Water and Nitrates Management in Horticultural Production
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Soil, water, and nitrogen management are critical for crop productivity and quality in horticulture as well as for reducing negative impacts on ecosystems and greenhouse gas emissions. This Special Issue is a collection of seven important research works addressing solutions or strategies that can be implemented in order to use these three factors of production in a more sustainable way and to reduce inorganic nitrogen applications by considering the great importance of circular agriculture and the use of microorganisms. Aside from the relevance of the topics in this Special Issue, the studies included within it may trigger the development of new strategies for more sustainable and environmentally friendly intensive agriculture.


Book
Soil, Water and Nitrates Management in Horticultural Production
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

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Bookmark

Abstract

Soil, water, and nitrogen management are critical for crop productivity and quality in horticulture as well as for reducing negative impacts on ecosystems and greenhouse gas emissions. This Special Issue is a collection of seven important research works addressing solutions or strategies that can be implemented in order to use these three factors of production in a more sustainable way and to reduce inorganic nitrogen applications by considering the great importance of circular agriculture and the use of microorganisms. Aside from the relevance of the topics in this Special Issue, the studies included within it may trigger the development of new strategies for more sustainable and environmentally friendly intensive agriculture.


Book
Biodiversity, Distribution and Conservation of Plants and Fungi : Effects of Global Warming and Environmental Stress
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue brings together some interconnected topics related to fungi and plants such as biodiversity, taxonomy, conservation, molecular phylogeny, ecology, and plant–fungal interactions. Additionally, some applied aspects are covered, such as phytoremediation, the improvement of spinach growth by biochar and arbuscular mycorrhizal fungi, bio-friendly solutions for waste reduction, the accumulation of rare-earth elements by wild edible mushrooms, etc.


Book
Food Processing and Its Impact on Phenolic and other Bioactive Constituents in Food
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

It is our pleasure to present this Special Issue of Molecules entitled “Food Processing and Its Impact on Phenolic and other Bioactive Constituents in Food”. Bioactive compounds including phenolic ingredients have long been used as important constituents of a healthy diet. As a result, consumer awareness about the important role of high-quality products rich in bioactive compounds—especially phenolic compounds—in human nutrition, health, and prevention against diseases has increased. Additionally, methods for food processing, regardless of the technology used, have a huge impact on the quality of the final products. Therefore, the big challenges for scientists lie in the monitoring of changes during food processing and the optimization of technology to achieve the minimal degradation of nutrients (including phenolic compounds). Thus, for this Special Issue, I encourage you to read some interesting papers aimed at bringing the latest scientific news, insights, and advances in the field of food processing and its impact on bioactive constituents in food, especially phenolic compounds. The information presented will certainly arouse considerable interest among a large group of our readers from different disciplines and research fields.


Book
Hyperspectral Remote Sensing of Agriculture and Vegetation
Authors: --- --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

Keywords

Research & information: general --- Environmental economics --- hyperspectral LiDAR --- Red Edge --- AOTF --- vegetation parameters --- leaf chlorophyll content --- DLARI --- MDATT --- adaxial --- abaxial --- spectral reflectance --- peanut --- field spectroscopy --- hyperspectral --- heavy metals --- grapevine --- PLS --- SVM --- MLR --- multi-angle observation --- hyperspectral remote sensing --- BRDF --- vegetation classification --- object-oriented segmentation --- spectroscopy --- artificial intelligence --- proximal sensing data --- precision agriculture --- spectra --- vegetation --- plant --- classification --- discrimination --- feature selection --- waveband selection --- support vector machine --- random forest --- Natura 2000 --- invasive species --- expansive species --- biodiversity --- proximal sensor --- macronutrient --- micronutrient --- remote sensing --- hyperspectral imaging --- platforms and sensors --- analytical methods --- crop properties --- soil characteristics --- classification of agricultural features --- canopy spectra --- chlorophyll content --- continuous wavelet transform (CWT) --- correlation coefficient --- partial least square regression (PLSR) --- reproducibility --- replicability --- partial least squares --- Ethiopia --- Eragrostis tef --- hyperspectral remote sensing for soil and crops in agriculture --- hyperspectral imaging for vegetation --- plant traits --- high-resolution spectroscopy for agricultural soils and vegetation --- hyperspectral databases for agricultural soils and vegetation --- hyperspectral data as input for modelling soil, crop, and vegetation --- product validation --- new hyperspectral technologies --- future hyperspectral missions


Book
Hyperspectral Remote Sensing of Agriculture and Vegetation
Authors: --- --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

Keywords

Research & information: general --- Environmental economics --- hyperspectral LiDAR --- Red Edge --- AOTF --- vegetation parameters --- leaf chlorophyll content --- DLARI --- MDATT --- adaxial --- abaxial --- spectral reflectance --- peanut --- field spectroscopy --- hyperspectral --- heavy metals --- grapevine --- PLS --- SVM --- MLR --- multi-angle observation --- hyperspectral remote sensing --- BRDF --- vegetation classification --- object-oriented segmentation --- spectroscopy --- artificial intelligence --- proximal sensing data --- precision agriculture --- spectra --- vegetation --- plant --- classification --- discrimination --- feature selection --- waveband selection --- support vector machine --- random forest --- Natura 2000 --- invasive species --- expansive species --- biodiversity --- proximal sensor --- macronutrient --- micronutrient --- remote sensing --- hyperspectral imaging --- platforms and sensors --- analytical methods --- crop properties --- soil characteristics --- classification of agricultural features --- canopy spectra --- chlorophyll content --- continuous wavelet transform (CWT) --- correlation coefficient --- partial least square regression (PLSR) --- reproducibility --- replicability --- partial least squares --- Ethiopia --- Eragrostis tef --- hyperspectral remote sensing for soil and crops in agriculture --- hyperspectral imaging for vegetation --- plant traits --- high-resolution spectroscopy for agricultural soils and vegetation --- hyperspectral databases for agricultural soils and vegetation --- hyperspectral data as input for modelling soil, crop, and vegetation --- product validation --- new hyperspectral technologies --- future hyperspectral missions

Listing 1 - 10 of 31 << page
of 4
>>
Sort by