Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data
出版年份 2022 全文链接
标题
Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 13, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2022-08-15
DOI
10.3389/fpls.2022.931491
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。- Effects of three frequencies of irrigation and nitrogen rates on lint yield, nitrogen use efficiency and fibre quality of cotton under furrow irrigation
- (2021) Carlos Ballester et al. AGRICULTURAL WATER MANAGEMENT
- Regionalizing Root‐Zone Soil Moisture Estimates From ESA CCI Soil Water Index Using Machine Learning and Information on Soil, Vegetation, and Climate
- (2021) Manolis G. Grillakis et al. WATER RESOURCES RESEARCH
- Water and energy demand forecasting in large-scale water distribution networks for irrigation using open data and machine learning algorithms
- (2021) Rafael Gonzalez Perea et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning
- (2021) Ebrahim Babaeian et al. REMOTE SENSING OF ENVIRONMENT
- Machine Learning in Agriculture: A Comprehensive Updated Review
- (2021) Lefteris Benos et al. SENSORS
- A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine
- (2021) Felix Greifeneder et al. Remote Sensing
- Global soil moisture data derived through machine learning trained with in-situ measurements
- (2021) Sungmin O. et al. Scientific Data
- IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage
- (2021) Ashutosh Bhoi et al. PeerJ Computer Science
- Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
- (2020) I. Pôças et al. AGRICULTURAL WATER MANAGEMENT
- Short term soil moisture forecasts for potato crop farming: A machine learning approach
- (2020) Amaury Dubois et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Farmer preferences for adopting precision farming technologies: a case study from Italy
- (2020) J Blasch et al. EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS
- IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment
- (2020) Rodrigo Filev Maia et al. SENSORS
- Daily evapotranspiration prediction using gradient boost regression model for irrigation planning
- (2019) Abraham Sudharson Ponraj et al. JOURNAL OF SUPERCOMPUTING
- Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
- (2018) Ramendra Prasad et al. GEODERMA
- Machine Learning in Agriculture: A Review
- (2018) Konstantinos Liakos et al. SENSORS
- Using machine learning to produce near surface soil moisture estimates from deeper in situ records at U.S. Climate Reference Network (USCRN) locations: Analysis and applications to AMSR-E satellite validation
- (2016) Evan J. Coopersmith et al. ADVANCES IN WATER RESOURCES
- Estimation of Surface Soil Moisture in Irrigated Lands by Assimilation of Landsat Vegetation Indices, Surface Energy Balance Products, and Relevance Vector Machines
- (2016) Alfonso Torres-Rua et al. Water
- Crop evapotranspiration estimation with FAO56: Past and future
- (2015) Luis S. Pereira et al. AGRICULTURAL WATER MANAGEMENT
- Water management: Current and future challenges and research directions
- (2015) William J. Cosgrove et al. WATER RESOURCES RESEARCH
- A critical review of soil moisture measurement
- (2014) Susha Lekshmi S.U. et al. MEASUREMENT
- Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation
- (2013) S. Paloscia et al. REMOTE SENSING OF ENVIRONMENT
- Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China
- (2012) Yaohu Kang et al. AGRICULTURAL WATER MANAGEMENT
- Estimating soil moisture using remote sensing data: A machine learning approach
- (2009) Sajjad Ahmad et al. ADVANCES IN WATER RESOURCES
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