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  1. Book ; Online: Next-Generation Greenhouses for Food Security

    Shamshiri, Redmond R

    2021  

    Keywords Plant ecology ; computational fluid dynamics, internet of things, photosynthesis, energy balance, crop, hydroponics
    Language English
    Size 1 electronic resource (182 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030647443
    ISBN 9781839680809 ; 1839680806
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Digital Agriculture, Methods and Applications

    Shamshiri, Redmond R / Shafian, Sanaz

    2022  

    Keywords Agricultural science ; Agriculture & farming
    Language English
    Size 1 electronic resource (166 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030379998
    ISBN 9781803554648 ; 1803554649
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Advances in Agricultural Engineering Technologies and Application

    Sultan, Muhammad / Shamshiri, Redmond R / Ahamed, Md Shamim / Farooq, Muhammad

    Volume II

    2023  

    Keywords Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture ; wet rice ; adhesion ; hot airflow ; dispersion characteristic ; minimum suspension speed ; surface water content ; pipe diameter ; operation frequency ; genetic algorithm ; rotation irrigation sectoring ; irrigation cost ; energy cost ; network cost ; pick-up device ; stretchable style ; kinematical analysis ; seedling picking test ; cropping pattern ; water stress ; LCC area ; surface water availability ; CROPWAT ; Ananas comosus ; somatic embryogenesis ; micropropagation ; organogenesis ; SSR markers ; ISSR markers ; pineapple ; cantaloupe bowl seedlings transplanting ; mechanical equipment ; institutional design ; field test ; data analysis and discussion ; up-cut rotary blade ; edge curve ; Cyperus esculentus plant ; flexible model ; arch shed ; automatic cuttage ; force feedback ; simulation design ; trajectory planning ; Chrysanthemum indicum L. ; maximum shear force ; finite element ; calibration ; single-bud ; billet planter ; planting uniformity ; numerical simulation ; seed-filling ; single-bud billet ; seed-metering ; EDEM ; wheel-track high clearance chassis ; walking performance ; climbing angle ; simulation ; rape windrower ; longitudinal axial flow ; flexible ; millet threshing device ; staggered threshing element ; micro rotary tubular concave screen ; machine learning ; deep learning ; plant leaf diseases ; photovoltaic module ; LED lighting system ; power grid ; step-up converter ; efficient power take-off ; monitoring system ; Codonopsis planting ; ditching device ; working parameters ; EDEM simulation ; orthogonal test ; air-blast sprayer ; precision spraying ; spray control parameter ; three-factor regression analysis ; highly efficient soil return ; liquid fertilizer deep application technique ; DEM ; soil bin test ; combine harvester ; differential inverse gearbox ; order analysis ; fault diagnosis method ; fatigue test ; tractor ; diesel engine ; emission ; artificial neural network ; improved particle swarm algorithm ; computational fluid dynamics (CFD) ; eave height ; natural ventilation ; venlo greenhouse ; fertilization uniformity ; closed-loop control ; single-chip microcomputer ; fuzzy PID ; solid-fertilizer-dissolving device ; precision fertilizer application ; BP neural network ; PSO optimization algorithm ; PID control ; watermelon ; sonication ; microwave ; synergistic effects ; quality characteristics ; electro-hydraulic hitch system ; tillage depth adjustment ; tillage depth control algorithm ; key components ; maize ; soil ; cavity planter ; interaction mechanism ; verification ; ultrasonic sensor ; canopy leaf area density ; ultrasonic echo signal ; verification experiment ; potato planter ; soil cultivation ; mechanization ; seed metering device ; intelligent seeding ; broiler house ; building energy simulation ; forecasting system ; heat stress index ; temperature humidity index (THI) ; smart agriculture ; greenhouse technologies ; artificial intelligence ; agricultural waste ; nano-activated carbon ; adsorption ; wastewater treatment ; modification ; agricultural engineering ; irrigation and drainage system ; pumping station ; sump ; hydraulic characteristics ; entropy production ; onion ; transplanting ; air-feeding seed discharge system ; seed tube ; gas-solid two-phase flow ; computer simulation ; discrete element method ; cotton stalk particles ; contact parameters ; response surface methodology ; image classification ; lightweight neural networks ; zea mays ; ECA attention ; CycleGAN ; tangential threshing ; vibration analysis ; FFT demodulation ; random vibration analysis ; bearing fault ; machine condition ; sustainable development goals ; agri-food security ; equality ; information and communication technologies ; technology 4.0 ; uplift resistance ; continuous pipe foundation ; single-span plastic greenhouse ; pipe connector ; vegetable greenhouses ; multi-arch greenhouses ; arch cross type ; resistance to the typhoon ; online non-destructive detection ; structure of plant stems ; ultrasonic feature ; feature extraction ; feature contribution ; backyard farming ; self-assembly ; vertical expansion ; factory in a box ; automated farming ; vertical farming ; sustainable farm ; aerogels ; porous materials ; agricultural activated carbon ; fine-grained ; attention mechanism ; maturity classification ; open-world ; solar air heater (SAH) ; computational fluid dynamics ; performance optimization ; milk powder ; agricultural drying ; post-harvest losses ; spices ; paneer ; storage ; proximate ; composition ; sensory evaluation ; antioxidant potential ; environmental monitoring ; imputation ; pig house ; recurrent neural network ; agriculture advancement ; large scale solar ; natural cooling ; agrivoltaic ; sustainability ; tractor-trailer ; trajectory tracking ; prescribed performance ; model predictive control ; robust sliding mode control ; stubble-crushing ; plain straight blade ; DEM-CFD ; dynamic motion ; seedbed preparation ; strip tillage ; energy saving ; F-ASHP model ; nursery pig ; storage pen ; Simulink ; industrial hemp ; bionic blade ; cutting energy consumption ; parameter optimization ; conservation tillage technology ; adoption of time persistence ; nonparametric K-M survival analysis method ; discrete duration model ; cavitation ; pretreatment ; jet-driven Helmholtz oscillator ; anaerobic digestion ; tea bud detection ; YOLOv5 ; depth camera ; pose estimation ; CAM ; OPVSM ; prediction models ; hyperspectral image ; PLSR model ; AdaBoost ; XGBoost ; LightGBM ; agricultural sensor network ; EMP-ZBR ; network topology ; routing transmission algorithm ; UV-A LED ; laser fly control ; light trap ; fungus gnats ; mushroom pests ; corn seeds ; collision recovery coefficient ; static friction coefficient ; multi-point collision ; sound waveform ; characteristic dimensions ; bulb tubular pump ; bulb form ; optimization design ; hydraulic performance
    Language English
    Size 1 electronic resource (532 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030645736
    ISBN 9783036593777 ; 3036593772
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Advances in Agricultural Engineering Technologies and Application

    Sultan, Muhammad / Shamshiri, Redmond R / Ahamed, Md Shamim / Farooq, Muhammad

    Volume I

    2023  

    Keywords Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture ; wet rice ; adhesion ; hot airflow ; dispersion characteristic ; minimum suspension speed ; surface water content ; pipe diameter ; operation frequency ; genetic algorithm ; rotation irrigation sectoring ; irrigation cost ; energy cost ; network cost ; pick-up device ; stretchable style ; kinematical analysis ; seedling picking test ; cropping pattern ; water stress ; LCC area ; surface water availability ; CROPWAT ; Ananas comosus ; somatic embryogenesis ; micropropagation ; organogenesis ; SSR markers ; ISSR markers ; pineapple ; cantaloupe bowl seedlings transplanting ; mechanical equipment ; institutional design ; field test ; data analysis and discussion ; up-cut rotary blade ; edge curve ; Cyperus esculentus plant ; flexible model ; arch shed ; automatic cuttage ; force feedback ; simulation design ; trajectory planning ; Chrysanthemum indicum L. ; maximum shear force ; finite element ; calibration ; single-bud ; billet planter ; planting uniformity ; numerical simulation ; seed-filling ; single-bud billet ; seed-metering ; EDEM ; wheel-track high clearance chassis ; walking performance ; climbing angle ; simulation ; rape windrower ; longitudinal axial flow ; flexible ; millet threshing device ; staggered threshing element ; micro rotary tubular concave screen ; machine learning ; deep learning ; plant leaf diseases ; photovoltaic module ; LED lighting system ; power grid ; step-up converter ; efficient power take-off ; monitoring system ; Codonopsis planting ; ditching device ; working parameters ; EDEM simulation ; orthogonal test ; air-blast sprayer ; precision spraying ; spray control parameter ; three-factor regression analysis ; highly efficient soil return ; liquid fertilizer deep application technique ; DEM ; soil bin test ; combine harvester ; differential inverse gearbox ; order analysis ; fault diagnosis method ; fatigue test ; tractor ; diesel engine ; emission ; artificial neural network ; improved particle swarm algorithm ; computational fluid dynamics (CFD) ; eave height ; natural ventilation ; venlo greenhouse ; fertilization uniformity ; closed-loop control ; single-chip microcomputer ; fuzzy PID ; solid-fertilizer-dissolving device ; precision fertilizer application ; BP neural network ; PSO optimization algorithm ; PID control ; watermelon ; sonication ; microwave ; synergistic effects ; quality characteristics ; electro-hydraulic hitch system ; tillage depth adjustment ; tillage depth control algorithm ; key components ; maize ; soil ; cavity planter ; interaction mechanism ; verification ; ultrasonic sensor ; canopy leaf area density ; ultrasonic echo signal ; verification experiment ; potato planter ; soil cultivation ; mechanization ; seed metering device ; intelligent seeding ; broiler house ; building energy simulation ; forecasting system ; heat stress index ; temperature humidity index (THI) ; smart agriculture ; greenhouse technologies ; artificial intelligence ; agricultural waste ; nano-activated carbon ; adsorption ; wastewater treatment ; modification ; agricultural engineering ; irrigation and drainage system ; pumping station ; sump ; hydraulic characteristics ; entropy production ; onion ; transplanting ; air-feeding seed discharge system ; seed tube ; gas-solid two-phase flow ; computer simulation ; discrete element method ; cotton stalk particles ; contact parameters ; response surface methodology ; image classification ; lightweight neural networks ; zea mays ; ECA attention ; CycleGAN ; tangential threshing ; vibration analysis ; FFT demodulation ; random vibration analysis ; bearing fault ; machine condition ; sustainable development goals ; agri-food security ; equality ; information and communication technologies ; technology 4.0 ; uplift resistance ; continuous pipe foundation ; single-span plastic greenhouse ; pipe connector ; vegetable greenhouses ; multi-arch greenhouses ; arch cross type ; resistance to the typhoon ; online non-destructive detection ; structure of plant stems ; ultrasonic feature ; feature extraction ; feature contribution ; backyard farming ; self-assembly ; vertical expansion ; factory in a box ; automated farming ; vertical farming ; sustainable farm ; aerogels ; porous materials ; agricultural activated carbon ; fine-grained ; attention mechanism ; maturity classification ; open-world ; solar air heater (SAH) ; computational fluid dynamics ; performance optimization ; milk powder ; agricultural drying ; post-harvest losses ; spices ; paneer ; storage ; proximate ; composition ; sensory evaluation ; antioxidant potential ; environmental monitoring ; imputation ; pig house ; recurrent neural network ; agriculture advancement ; large scale solar ; natural cooling ; agrivoltaic ; sustainability ; tractor-trailer ; trajectory tracking ; prescribed performance ; model predictive control ; robust sliding mode control ; stubble-crushing ; plain straight blade ; DEM-CFD ; dynamic motion ; seedbed preparation ; strip tillage ; energy saving ; F-ASHP model ; nursery pig ; storage pen ; Simulink ; industrial hemp ; bionic blade ; cutting energy consumption ; parameter optimization ; conservation tillage technology ; adoption of time persistence ; nonparametric K-M survival analysis method ; discrete duration model ; cavitation ; pretreatment ; jet-driven Helmholtz oscillator ; anaerobic digestion ; tea bud detection ; YOLOv5 ; depth camera ; pose estimation ; CAM ; OPVSM ; prediction models ; hyperspectral image ; PLSR model ; AdaBoost ; XGBoost ; LightGBM ; agricultural sensor network ; EMP-ZBR ; network topology ; routing transmission algorithm ; UV-A LED ; laser fly control ; light trap ; fungus gnats ; mushroom pests ; corn seeds ; collision recovery coefficient ; static friction coefficient ; multi-point collision ; sound waveform ; characteristic dimensions ; bulb tubular pump ; bulb form ; optimization design ; hydraulic performance
    Language English
    Size 1 electronic resource (542 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030646169
    ISBN 9783036593753 ; 3036593756
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online: Sustainable Agricultural, Biological, and Environmental Engineering Applications

    Sultan, Muhammad / Zhou, Yuguang / Shamshiri, Redmond R. / Farooque, Aitazaz A.

    2022  

    Keywords Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture ; air heat pump ; carbon dioxide ; formaldehyde ; electricity consumption ; ultra-fine dust ; municipal waste ; biological fertilizer ; phytopathogens ; sustainable agriculture ; organic waste treatment ; optical remote sensing ; microwave remote sensing ; phenology-based method ; forest conservation ; forest management ; rural residents ; economic incentives ; Pakistan ; less-favoured areas ; agricultural policy ; farm profitability ; traction ; soil ; sinkage ; single-track shoe ; penetration ; cohesion ; adhesion ; ANOVA ; Brassica chinensis ; coefficient of variation ; double-row ; metering device ; pneumatic ; greenhouse ; computational fluid dynamics ; airflow ; temperature ; humidity ; horticulture ; Zagazig ; Egypt ; willingness to accept ; gross margin ; mixed cropping ; ordered logistic regression ; bioresources ; circular bioeconomy ; economic analysis ; Nitrification inhibitor ; smog ; Wheat straw ; poultry farms ; air-conditioning ; evaporative cooling systems ; temperature-humidity index ; temperature-humidity-velocity index ; soil erosion ; sediment yield ; RUSLE ; sediment transport modeling ; Gomal River ; arid regions ; surface drain system ; design ; drainage effluent ; GF-6 ; maize ; straw ; support vector machine ; random forest ; red-edge wavelength ; biomass ; furnace ; efficiency ; economics ; carbon nanotubes ; surface modification ; heavy metals ; adsorption ; water and wastewater treatment ; renewable energy ; biogas production ; livestock manure ; anaerobic digestion ; COVID-19 ; Iran ; food security ; economic crisis ; agriculture ; food supply chain ; agricultural economy ; drip irrigation system ; net revenue ; small landholders ; sustainable irrigation ; agroforestry ; allometric equations ; carbon stock ; organic carbon ; potassium ; zinc ; physiological attributes ; climate change ; environment ; human health ; resources ; wastewater
    Size 1 electronic resource (412 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021291062
    ISBN 9783036529219 ; 3036529217
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Book ; Online: Energy Systems and Applications in Agriculture

    Sultan, Muhammad / Ahamed, Md Shamim / Shamshiri, Redmond R. / Shahzad, Muhammad Wakil

    2022  

    Keywords Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture ; mercury ion ; corn cob ; activated carbon ; adsorption ; greenhouse energy modeling ; renewable energy ; energy-saving screen ; greenhouse microclimate control ; cantaloupe ; improvement potential ; energy efficiency ; exergy ; ANN ; ANFIS ; cereal production ; crop rotation ; energy analysis ; DEA ; CO2 emissions ; Chinese solar greenhouse ; thermal model ; north wall ; cold regions ; heating requirement ; pyrolysis ; date palm waste ; techno-economic ; fluidized bed reactor ; biofuels ; solar cooling ; post-harvest food losses ; decentralized food storage ; cooling pads ; agriculture ; CROPWAT ; irrigation management ; crop water requirement ; hybrid renewable energy ; techno-economic optimization ; net present cost ; HOMER Pro® ; membrane energy recovery ventilator ; energy recovery potential ; Maisotsenko cycle evaporative cooling ; building air-conditioning ; human thermal comfort ; Pakistan ; wastewater treatment ; biological process ; aerobic process ; attached growth ; biofilm ; rotating biological contactor
    Language 0|e
    Size 1 electronic resource (224 pages)
    Publisher MDPI Books
    Publishing place Basel
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021618826
    ISBN 9783036550077 ; 3036550070
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Article ; Online: Soft gripper for small fruits harvesting and pick and place operations.

    Navas, Eduardo / Shamshiri, Redmond R / Dworak, Volker / Weltzien, Cornelia / Fernández, Roemi

    Frontiers in robotics and AI

    2024  Volume 10, Page(s) 1330496

    Abstract: Agriculture 4.0 presents several challenges for the automation of various operations, including the fundamental task of harvesting. One of the crucial aspects in the automatic harvesting of high value crops is the grip and detachment of delicate fruits ... ...

    Abstract Agriculture 4.0 presents several challenges for the automation of various operations, including the fundamental task of harvesting. One of the crucial aspects in the automatic harvesting of high value crops is the grip and detachment of delicate fruits without spoiling them or interfering with the environment. Soft robotic systems, particularly soft grippers, offer a promising solution for this problem, as they can operate in unstructured environments, manipulate objects delicately, and interact safely with humans. In this context, this article presents a soft gripper design for harvesting as well as for pick-and-place operations of small and medium-sized fruits. The gripper is fabricated using the 3D printing technology with a flexible thermoplastic elastomer filament. This approach enables the production of an economical, compact, easily replicable, and interchangeable gripper by utilizing soft robotics principles, such as flexible structures and pneumatic actuation.
    Language English
    Publishing date 2024-01-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781824-X
    ISSN 2296-9144 ; 2296-9144
    ISSN (online) 2296-9144
    ISSN 2296-9144
    DOI 10.3389/frobt.2023.1330496
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Present status and challenges of fodder production in controlled environments: A review

    Ahamed, Md Shamim / Sultan, Muhammad / Shamshiri, Redmond R. / Rahman, Md Mostafizar / Aleem, Muhammad / Balasundram, Siva K.

    Smart agricultural technology. 2023 Feb., v. 3

    2023  

    Abstract: Hydroponic fodder production in controlled environment (CE) settings have gained more focus in recent years due to the shortage of agricultural land for food production and the adverse effect of climate changes. However, the operation costs and dry ... ...

    Abstract Hydroponic fodder production in controlled environment (CE) settings have gained more focus in recent years due to the shortage of agricultural land for food production and the adverse effect of climate changes. However, the operation costs and dry matter issues are the major concerns for the sustainability of fodder production in the CE. This study provides a comprehensive literature review on techniques and control strategies for indoor environments and watering that are currently used and could be adopted in the future to achieve the economic and environmental sustainability of controlled environment fodder production (CEFP). The literature indicates fodder production in the modular system is becoming popular in developed countries, and low-tech systems like greenhouse are more prevalent in developing countries. The optimum temperature and RH range between 16-27°C and 70-80% to get efficient biomass yield; however, minimal research has been conducted to optimize the indoor temperature and relative humidity (RH) for efficient and higher efficiency fodder production. Besides, the water-saving techniques and optimal lighting spectrum need to be studied extensively. Automating and monitoring in CEFP system could reduce operating costs and improve quality and yield. Overall, this industry might have great potential for livestock production. Still, more strong research needs to be conducted to answer nutritional concerns and reduce the capital and operating costs for CEFP.
    Keywords adverse effects ; agricultural land ; biomass production ; capital ; climate ; environmental sustainability ; food production ; forage ; greenhouses ; hydroponics ; industry ; livestock production ; relative humidity ; temperature ; water conservation
    Language English
    Dates of publication 2023-02
    Publishing place Elsevier B.V.
    Document type Article
    ISSN 2772-3755
    DOI 10.1016/j.atech.2022.100080
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds

    Li, Minhui / Shamshiri, Redmond R. / Schirrmann, Michael / Weltzien, Cornelia / Shafian, Sanaz / Laursen, Morten Stigaard

    Remote Sensing. 2022 Jan. 26, v. 14, no. 3

    2022  

    Abstract: Leaf area index (LAI) and height are two critical measures of maize crops that are used in ecophysiological and morphological studies for growth evaluation, health assessment, and yield prediction. However, mapping spatial and temporal variability of LAI ...

    Abstract Leaf area index (LAI) and height are two critical measures of maize crops that are used in ecophysiological and morphological studies for growth evaluation, health assessment, and yield prediction. However, mapping spatial and temporal variability of LAI in fields using handheld tools and traditional techniques is a tedious and costly pointwise operation that provides information only within limited areas. The objective of this study was to evaluate the reliability of mapping LAI and height of maize canopy from 3D point clouds generated from UAV oblique imagery with the adaptive micro-terrain model. The experiment was carried out in a field planted with three cultivars having different canopy shapes and four replicates covering a total area of 48 × 36 m. RGB images in nadir and oblique view were acquired from the maize field at six different time slots during the growing season. Images were processed by Agisoft Metashape to generate 3D point clouds using the structure from motion method and were later processed by MATLAB to obtain clean canopy structure, including height and density. The LAI was estimated by a multivariate linear regression model using crop canopy descriptors derived from the 3D point cloud, which account for height and leaf density distribution along the canopy height. A simulation analysis based on the Sine function effectively demonstrated the micro-terrain model from point clouds. For the ground truth data, a randomized block design with 24 sample areas was used to manually measure LAI, height, N-pen data, and yield during the growing season. It was found that canopy height data from the 3D point clouds has a relatively strong correlation (R² = 0.89, 0.86, 0.78) with the manual measurement for three cultivars with CH₉₀. The proposed methodology allows a cost-effective high-resolution mapping of in-field LAI index extraction through UAV 3D data to be used as an alternative to the conventional LAI assessments even in inaccessible regions.
    Keywords canopy ; canopy height ; corn ; cost effectiveness ; cultivars ; data collection ; ecophysiology ; health effects assessments ; leaf area index ; leaf density ; regression analysis ; simulation models ; temporal variation ; yield forecasting
    Language English
    Dates of publication 2022-0126
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14030585
    Database NAL-Catalogue (AGRICOLA)

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  10. Article: Crop Monitoring Using Sentinel-2 and UAV Multispectral Imagery: A Comparison Case Study in Northeastern Germany

    Li, Minhui / Shamshiri, Redmond R. / Weltzien, Cornelia / Schirrmann, Michael

    Remote Sensing. 2022 Sept. 05, v. 14, no. 17

    2022  

    Abstract: Monitoring within-field crop variability at fine spatial and temporal resolution can assist farmers in making reliable decisions during their agricultural management; however, it traditionally involves a labor-intensive and time-consuming pointwise ... ...

    Abstract Monitoring within-field crop variability at fine spatial and temporal resolution can assist farmers in making reliable decisions during their agricultural management; however, it traditionally involves a labor-intensive and time-consuming pointwise manual process. To the best of our knowledge, few studies conducted a comparison of Sentinel-2 with UAV data for crop monitoring in the context of precision agriculture. Therefore, prospects of crop monitoring for characterizing biophysical plant parameters and leaf nitrogen of wheat and barley crops were evaluated from a more practical viewpoint closer to agricultural routines. Multispectral UAV and Sentinel-2 imagery was collected over three dates in the season and compared with reference data collected at 20 sample points for plant leaf nitrogen (N), maximum plant height, mean plant height, leaf area index (LAI), and fresh biomass. Higher correlations of UAV data to the agronomic parameters were found on average than with Sentinel-2 data with a percentage increase of 6.3% for wheat and 22.2% for barley. In this regard, VIs calculated from spectral bands in the visible part performed worse for Sentinel-2 than for the UAV data. In addition, large-scale patterns, formed by the influence of an old riverbed on plant growth, were recognizable even in the Sentinel-2 imagery despite its much lower spatial resolution. Interestingly, also smaller features, such as the tramlines from controlled traffic farming (CTF), had an influence on the Sentinel-2 data and showed a systematic pattern that affected even semivariogram calculation. In conclusion, Sentinel-2 imagery is able to capture the same large-scale pattern as can be derived from the higher detailed UAV imagery; however, it is at the same time influenced by management-driven features such as tramlines, which cannot be accurately georeferenced. In consequence, agronomic parameters were better correlated with UAV than with Sentinel-2 data. Crop growers as well as data providers from remote sensing services may take advantage of this knowledge and we recommend the use of UAV data as it gives additional information about management-driven features. For future perspective, we would advise fusing UAV with Sentinel-2 imagery taken early in the season as it can integrate the effect of agricultural management in the subsequent absence of high spatial resolution data to help improve crop monitoring for the farmer and to reduce costs.
    Keywords barley ; biomass ; case studies ; controlled traffic systems ; farmers ; georeferencing ; leaf area index ; leaves ; multispectral imagery ; nitrogen ; plant growth ; plant height ; precision agriculture ; stream channels ; wheat ; Germany
    Language English
    Dates of publication 2022-0905
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14174426
    Database NAL-Catalogue (AGRICOLA)

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