A Review of Precision Technologies for Optimising Pasture Measurement on Irish Grassland
出版年份 2021 全文链接
标题
A Review of Precision Technologies for Optimising Pasture Measurement on Irish Grassland
作者
关键词
-
出版物
Agriculture-Basel
Volume 11, Issue 7, Pages 600
出版商
MDPI AG
发表日期
2021-06-28
DOI
10.3390/agriculture11070600
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Utilising grassland management and climate data for more accurate prediction of herbage mass using the rising plate meter
- (2021) D. J. Murphy et al. PRECISION AGRICULTURE
- The impact of low-input grass-based and high-input confinement-based dairy systems on food production, environmental protection and resource use
- (2020) Juliane Dentler et al. Agroecology and Sustainable Food Systems
- Grazing of Dairy Cows in Europe—An In-Depth Analysis Based on the Perception of Grassland Experts
- (2020) Agnes van den Pol-van Dasselaar et al. Sustainability
- Yield of binary- and multi-species swards relative to single-species swards in intensive silage systems
- (2020) T. Moloney et al. IRISH JOURNAL OF AGRICULTURAL AND FOOD RESEARCH
- Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data
- (2020) Chaya Smith et al. Remote Sensing
- Increasing Grazing in Dairy Cow Milk Production Systems in Europe
- (2020) Deirdre Hennessy et al. Sustainability
- Comparing methods to estimate perennial ryegrass biomass: canopy height and spectral vegetation indices
- (2020) Gustavo Togeiro de Alckmin et al. PRECISION AGRICULTURE
- Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry
- (2020) Raquel Alves Oliveira et al. REMOTE SENSING OF ENVIRONMENT
- Portable LiDAR-Based Method for Improvement of Grass Height Measurement Accuracy: Comparison with SfM Methods
- (2020) Hiroyuki Obanawa et al. SENSORS
- Comparison of Spectral Reflectance-Based Smart Farming Tools and a Conventional Approach to Determine Herbage Mass and Grass Quality on Farm
- (2020) Leonie Hart et al. Remote Sensing
- Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes
- (2019) Francisco Ancin-Murguzur et al. Remote Sensing
- Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
- (2019) Victor Rueda-Ayala et al. SENSORS
- Weather forecasts to enhance an Irish grass growth model
- (2019) J. McDonnell et al. EUROPEAN JOURNAL OF AGRONOMY
- Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis
- (2019) B. Lahart et al. JOURNAL OF DAIRY SCIENCE
- Evaluation of Grass Quality under Different Soil Management Scenarios Using Remote Sensing Techniques
- (2019) Mohammad Sadegh Askari et al. Remote Sensing
- The effect of intensive grazing systems on the rising plate meter calibration for perennial ryegrass pastures
- (2019) Cindy W. Klootwijk et al. JOURNAL OF DAIRY SCIENCE
- Correcting fresh grass allowance for rejected patches due to excreta in intensive grazing systems for dairy cows
- (2019) Cindy W. Klootwijk et al. JOURNAL OF DAIRY SCIENCE
- Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing
- (2019) Sebastian Vogel et al. SENSORS
- Ultrasonic Proximal Sensing of Pasture Biomass
- (2019) Mathew Legg et al. Remote Sensing
- Some challenges and opportunities for grazing dairy cows on temperate pastures
- (2019) J. Michael Wilkinson et al. GRASS AND FORAGE SCIENCE
- Assessing the accuracy of current near infra-red reflectance spectroscopy analysis for fresh grass-clover mixture silages and development of new equations for this purpose
- (2018) A.L. Thomson et al. ANIMAL FEED SCIENCE AND TECHNOLOGY
- Development of the Moorepark St Gilles grass growth model (MoSt GG model): A predictive model for grass growth for pasture based systems
- (2018) E. Ruelle et al. EUROPEAN JOURNAL OF AGRONOMY
- Factors associated with profitability in pasture-based systems of milk production
- (2018) L. Hanrahan et al. JOURNAL OF DAIRY SCIENCE
- Measuring labor input on pasture-based dairy farms using a smartphone
- (2018) J. Deming et al. JOURNAL OF DAIRY SCIENCE
- Regular estimates of herbage mass can improve profitability of pasture-based dairy systems
- (2018) P. C. Beukes et al. Animal Production Science
- Urban Lawn Monitoring in Smart City Environments
- (2018) José Marín et al. Journal of Sensors
- Review: Grass-based dairy systems, data and precision technologies
- (2018) L. Shalloo et al. Animal
- Application of Repeat-Pass TerraSAR-X Staring Spotlight Interferometric Coherence to Monitor Pasture Biophysical Parameters: Limitations and Sensitivity Analysis
- (2017) Iftikhar Ali et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Establishing phenotypic performance of grass varieties on Irish grassland farms
- (2017) N. BYRNE et al. JOURNAL OF AGRICULTURAL SCIENCE
- Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass
- (2017) Sam Cooper et al. Remote Sensing
- Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of Biomass in Grasslands with Heterogeneous Sward Structure
- (2017) Thomas Moeckel et al. Remote Sensing
- Establishing phenotypic performance of grass varieties on Irish grassland farms
- (2017) N. BYRNE et al. JOURNAL OF AGRICULTURAL SCIENCE
- Comparing the spectral settings of the new generation broad and narrow band sensors in estimating biomass of native grasses grown under different management practices
- (2016) Mbulisi Sibanda et al. GIScience & Remote Sensing
- Impact of sampling and storage technique, and duration of storage, on the composition of fresh grass when analysed using near-infrared reflectance spectroscopy
- (2016) A. J. Dale et al. GRASS AND FORAGE SCIENCE
- Spatial variability of soil properties and yield of a grazed alfalfa pasture in Brazil
- (2016) A. C. C. Bernardi et al. PRECISION AGRICULTURE
- 3-D Imaging Systems for Agricultural Applications—A Review
- (2016) Manuel Vázquez-Arellano et al. SENSORS
- Livestock and the Environment: What Have We Learned in the Past Decade?
- (2015) Mario Herrero et al. Annual Review of Environment and Resources
- A method for approximate on-farm estimation of herbage mass by using two assessments per pasture
- (2015) K. Nakagami GRASS AND FORAGE SCIENCE
- The effect of stocking rate on soil solution nitrate concentrations beneath a free-draining dairy production system in Ireland
- (2015) J. McCarthy et al. JOURNAL OF DAIRY SCIENCE
- Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches
- (2015) Alessandra Capolupo et al. ISPRS International Journal of Geo-Information
- Variation in composition of pre-grazed pasture herbage in the United Kingdom, 2006–2012
- (2014) J.M. Wilkinson et al. ANIMAL FEED SCIENCE AND TECHNOLOGY
- A multi-sensor approach for predicting biomass of extensively managed grassland
- (2014) Björn Reddersen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A case study of the carbon footprint of milk from high-performing confinement and grass-based dairy farms
- (2014) D. O’Brien et al. JOURNAL OF DAIRY SCIENCE
- Global diets link environmental sustainability and human health
- (2014) David Tilman et al. NATURE
- Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches
- (2014) Brian Barrett et al. REMOTE SENSING OF ENVIRONMENT
- Effects of sample preparation and measurement standardization on the NIRS calibration quality of nitrogen, ash and NDFom content in extensive experimental grassland biomass
- (2013) Björn Reddersen et al. ANIMAL FEED SCIENCE AND TECHNOLOGY
- A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry
- (2013) Cláudia A. Teixeira dos Santos et al. APPLIED SPECTROSCOPY
- The variation in morphology of perennial ryegrass cultivars throughout the grazing season and effects on organic matter digestibility
- (2013) M. Beecher et al. GRASS AND FORAGE SCIENCE
- Greenhouse gas emissions from the EU livestock sector: A life cycle assessment carried out with the CAPRI model
- (2012) Franz Weiss et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Seasonal Variation in the Rising Plate Meter Calibration for Forage Mass
- (2012) F. P. Ferraro et al. AGRONOMY JOURNAL
- Proximal sensing of the seasonal variability of pasture nutritive value using multispectral radiometry
- (2012) R. R. Pullanagari et al. GRASS AND FORAGE SCIENCE
- Assessment of herbage yield and quality traits of perennial ryegrasses from a national variety evaluation scheme
- (2012) G. A. BURNS et al. JOURNAL OF AGRICULTURAL SCIENCE
- Assessment of forage mass from grassland swards by height measurement using an ultrasonic sensor
- (2011) Thomas Fricke et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A survey analysis of grassland dairy farming in Ireland, investigating grassland management, technology adoption and sward renewal
- (2011) P. Creighton et al. GRASS AND FORAGE SCIENCE
- Stochastic simulation of the cost of home-produced feeds for ruminant livestock systems
- (2011) E. FINNERAN et al. JOURNAL OF AGRICULTURAL SCIENCE
- In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture
- (2011) R. R. Pullanagari et al. PRECISION AGRICULTURE
- Use of a pasture growth model to estimate herbage mass at a paddock scale and assist management on dairy farms
- (2010) A.J. Romera et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
- (2009) Daniel Alomar et al. Chilean Journal of Agricultural Research
- Precision agriculture on grassland: Applications, perspectives and constraints
- (2008) Jürgen Schellberg et al. EUROPEAN JOURNAL OF AGRONOMY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now