Search Results - "Yule, Ian J"

Research and development in agricultural robotics: A perspective of digital farming by Ramin Shamshiri, Redmond, Weltzien, Cornelia, A. Hameed, Ibrahim, J. Yule, Ian, E. Grift, Tony, K. Balasundram, Siva, Pitonakova, Lenka, Ahmad, Desa, Chowdhary, Girish

“…Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously…”
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A Unified Physically Based Method for Monitoring Grassland Nitrogen Concentration with Landsat 7, Landsat 8, and Sentinel-2 Satellite Data by Dehghan-Shoar, Mohammad Hossain, Pullanagari, Reddy R., Kereszturi, Gabor, Orsi, Alvaro A., Yule, Ian J., Hanly, James

“…The increasing number of satellite missions provides vast opportunities for continuous vegetation monitoring, crucial for precision agriculture and…”
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Simulation software and virtual environments for acceleration of agricultural robotics: Features highlights and performance comparison by Ramin Shamshiri, Redmond, A. Hameed, Ibrahim, Pitonakova, Lenka, Weltzien, Cornelia, K. Balasundram, Siva, J. Yule, Ian, E. Grift, Tony, Chowdhary, Girish

“…Research efforts for development of agricultural robots that can effectively perform tedious field tasks have grown significantly in the past decade…”
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Using Proximal Hyperspectral Sensing to Predict Herbage Nutritive Value for Dairy Farming by Duranovich, Federico N., Yule, Ian J., Lopez-Villalobos, Nicolas, Shadbolt, Nicola M., Draganova, Ina, Morris, Stephen T.

“…This study focuses on calibrating and validating models for hyperspectral canopy reflectance data that are useful to predict the nutritive value of…”
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Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network by Pullanagari, R.R., Dehghan-Shoar, Mohammad, Yule, Ian J., Bhatia, N.

“…As an essential feature of plant autotrophy, Nitrogen (N) is the major nutrient affecting plant growth in terrestrial ecosystems, thus is of not only…”
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On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy by Pullanagari, Reddy R., Yule, Ian J., Agnew, M.

“…This study investigated the potential of visible near infrared spectroscopy (Vis-NIRS) to quantify the fatty acid (FA) composition of lamb meat under…”
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Quantitative prediction of post storage ‘Hayward’ kiwifruit attributes using at harvest Vis-NIR spectroscopy by Li, Mo, Pullanagari, Reddy R., Pranamornkith, Thamarath, Yule, Ian J., East, Andrew R.

“…Total soluble solids concentration (TSS) and flesh firmness (FF) are two important quality attributes indicating the eating quality and postharvest storability…”
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A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation by Dehghan-Shoar, Mohammad Hossain, Kereszturi, Gabor, Pullanagari, Reddy R., Orsi, Alvaro A., Yule, Ian J., Hanly, James

“…This study introduces a Physically Informed Deep Neural Network (PINN) that leverages spectral data and Radiative Transfer Model insights to improve nitrogen…”
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Soil water status mapping and two variable-rate irrigation scenarios by Hedley, Carolyn B, Yule, Ian J

“…Irrigation is the major user of allocated global freshwaters, and scarcity of freshwater threatens to limit global food supply and ecosystem function--hence…”
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A statistical comparison of international fertiliser spreader test methods — Confidence in bout width calculations by Jones, Jim R., Lawrence, Hayden G., Yule, Ian J.

“…Throughout the world a number of testing systems are used to obtain the fertiliser spread pattern from spinning disc spreaders. Results of these tests are used…”
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Coherence of a packed bed under lateral oscillation by Flemmer, Rory C., Yule, Ian J.

“…When packed beds are subjected to lateral oscillation, shear may occur within the bed leading to increased compaction and strength of the bed. This question…”
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Extraction of solar-induced fluorescence (SIF) from airborne hyperspectral data by Hossain, Dehghan-Shoar Mohammad, Pullanagari, R. R., Alvaro, Orsi, Ian, J. Yule

“…A variety of environmental factors influence the productivity of Kiwifruit crops. Remote sensing-based solar-induced chlorophyll fluorescence (SIF) could be…”
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Multi-scale estimation of vegetation nitrogen concentration using a physically informed neural network by Hossain, Dehghan-Shoar Mohammad, Gabor, Kereszturi, Pullanagari, R. R., Yule Ian, J., Alvaro, Orsi, James, Hanly

“…This study presents a Physically Informed Neural Network (PINN) designed for estimating nitrogen concentration (N%) in various vegetation scales, a critical…”
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A hybrid model to predict nitrogen concentration in heterogeneous grassland using field spectroscopy by Dehghan-Shoar, Mohammad Hossain, Orsi, Alvaro A., Pullanagari, Reddy R., Yule, Ian J.

“…Field spectroscopy is a rapid and non-destructive tool used for the estimation of nitrogen concentration (N%) of vegetation. Empirical and physically-based…”
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Simulating spaceborne imaging to retrieve grassland nitrogen concentration by Dehghan-Shoar, Mohammad Hossain, Pullanagari, Reddy. R., Orsi, Alvaro. A., Yule, Ian. J.

“…Spaceborne optical imaging enables continuous monitoring of nitrogen concentration (N%) in grasslands. However, the differences in instrumental setup, image…”
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Corrigendum to “On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy” [Meat Science 100 (2014) 156–163] by Pullanagari, Reddy R., Yule, Ian J., Agnew, M.

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Research and development in agricultural robotics: A perspective of digital farming by Ramin Shamshiri, Redmond, Weltzien, Cornelia, A. Hameed, Ibrahim, J. Yule, Ian, E. Grift, Tony, K. Balasundram, Siva, Pitonakova, Lenka, Ahmad, Desa, Chowdhary, Girish

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Simulation software and virtual environments for acceleration of agricultural robotics: Features highlights and performance comparison by Ramin Shamshiri, Redmond, A. Hameed, Ibrahim, Pitonakova, Lenka, Weltzien, Cornelia, K. Balasundram, Siva, J. Yule, Ian, E. Grift, Tony, Chowdhary, Girish

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