☆ 4.7 Article

Multilayer Data and Artificial Intelligence for the Delineation of Homogeneous Management Zones in Maize Cultivation

REMOTE SENSING (2023)

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。

Article Green & Sustainable Science & Technology

Soil variability mapping and delineation of site-specific management zones using fuzzy clustering analysis in a Mid-Himalayan Watershed, India

B. N. Shashikumar et al.

Summary: The spatial variability of soil nutrients in a mid-Himalayan watershed was investigated and four optimum soil management zones were delineated. Geostatistical analysis, principal component analysis (PCA), and fuzzy clustering analysis were used to identify significant differences in soil and terrain parameters among the management zones. The results provide guidance for farmers in implementing site-specific soil management.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2023)

添加到收藏夹

Article Agronomy

Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods

Guomin Shao et al.

Summary: In this study, models for crop coefficients estimation were developed using UAV remote sensing and machine learning techniques. The recommended model achieved high accuracy in estimating crop water consumption, cumulative evapotranspiration, and daily soil water content.

AGRICULTURAL WATER MANAGEMENT (2023)

添加到收藏夹

Article Computer Science, Information Systems

MLCM: Multi-Label Confusion Matrix

Mohammadreza Heydarian et al.

Summary: In multi-label classification tasks, traditional confusion matrix is not applicable for performance assessment. Current assessment techniques calculate performance averages for evaluation, but suffer from ambiguity. To address this, we propose a method of creating multi-label confusion matrix based on problem categories and demonstrate its effectiveness through experiments.

IEEE ACCESS (2022)

添加到收藏夹

Article Agriculture, Multidisciplinary

Potential of functional analysis applied to Sentinel-2 time-series to assess relevant agronomic parameters at the within-field level in viticulture

Sergio Velez et al.

Summary: This study utilizes Sentinel-2 satellite imagery to extract relevant information from two vineyards in Spain. By employing dimensionality reduction techniques such as Principal Component Analysis (PCA) and Partial Least Square (PLS), the NDVI time-series are decomposed into multiple functional components. The results demonstrate the added value of considering the entire time-series compared to a single image, and establish correlations with seasonal phenology and management practices in the vineyards.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

添加到收藏夹

Article Agronomy

Smart-Map: An Open-Source QGIS Plugin for Digital Mapping Using Machine Learning Techniques and Ordinary Kriging

Gustavo Willam Pereira et al.

Summary: Machine learning algorithms have been used as an alternative to conventional methods in digital mapping of soil attributes, offering flexibility in using different layers of information. To address the difficulties faced by end users, a Smart-Map plugin was developed, incorporating Ordinary Kriging and Support Vector Machine algorithms, and selecting covariates based on spatial correlation. In a case study in Brazil, the performance of the Smart-Map plugin was evaluated using R-2 and RMSE, showing that Support Vector Machine outperformed Ordinary Kriging in predicting soil attributes.

AGRONOMY-BASEL (2022)

添加到收藏夹

Article Plant Sciences

Wheat yield estimation using remote sensing data based on machine learning approaches

Enhui Cheng et al.

Summary: Accurate prediction of winter wheat yield is important for farmers and international wheat trade. This study compares different data-driven approaches and finds that the LSTM model performs the best in predicting winter wheat yield. Hyperspectral data is more accurate than multispectral data, with the 10m resolution Sentinel-2 data achieving the highest accuracy. The study also highlights the superiority of the greenness vegetation index in predicting crop yields.

FRONTIERS IN PLANT SCIENCE (2022)

添加到收藏夹

Review Computer Science, Information Systems

Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

Achilles D. Boursianis et al.

Summary: This paper investigates the applications of IoT and UAV technology in agriculture. The main principles of IoT technology, including intelligent sensors, IoT sensor types, networks, and protocols used in agriculture, as well as IoT applications and solutions in smart farming are described. The role of UAV technology in smart agriculture is also presented, analyzing its applications in various scenarios such as irrigation, fertilization, use of pesticides, weed management, plant growth monitoring, crop disease management, and field-level phenotyping. IoT and UAV technology are identified as two important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.

INTERNET OF THINGS (2022)

添加到收藏夹

Article Medical Informatics

Ensemble learning for the early prediction of neonatal jaundice with genetic features

Haowen Deng et al.

Summary: The study investigated the integration of high-dimensional genetic features into predicting neonatal jaundice and found that genetic variants play a crucial role in reducing false-positive rates.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2021)

添加到收藏夹

Article Remote Sensing

Mapping spatial variability of foliar nitrogen and carbon in Indian tropical moist deciduous sal (Shorea robusta) forest using machine learning algorithms and Sentinel-2 data

Vaishali Vasudeva et al.

Summary: This study mapped the spatial distribution of foliar Nitrogen and Carbon in a tropical moist deciduous sal forest using Sentinel-2 data and machine learning algorithms. The study established a strong relationship between Nitrogen and SWIR-1 band and NDRE, and between Carbon and SWIR-1 band along with various spectral vegetation indices. The results showed that Random Forest algorithm performed better than Artificial Neural Network and Support Vector Machine in explaining the variability in foliar Nitrogen and Carbon.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)

添加到收藏夹

Article Agronomy

Simplified and Hybrid Remote Sensing-Based Delineation of Management Zones for Nitrogen Variable Rate Application in Wheat

Mohammad Rokhafrouz et al.

Summary: Enhancing digital and precision agriculture is crucial in overcoming economic and environmental challenges in 21st century agriculture. This study compared management zones for variable rate application of mineral nitrogen in wheat production, using different remote sensing-based models. The results showed that incorporating agronomy and climate information improved the delineation of management zones.

AGRICULTURE-BASEL (2021)

添加到收藏夹

Review Geography, Physical

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

Haifa Tamiminia et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

添加到收藏夹

Review Environmental Sciences

Remote Sensing in Agriculture-Accomplishments, Limitations, and Opportunities

Sami Khanal et al.

REMOTE SENSING (2020)

添加到收藏夹

Review Engineering, Electrical & Electronic

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

Meisam Amani et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

添加到收藏夹

Article Agriculture, Multidisciplinary

Applying the NDVI from satellite images in delimiting management zones for annual crops

Junior Melo Damian et al.

SCIENTIA AGRICOLA (2020)

添加到收藏夹

Article Environmental Sciences

The Spatial and Temporal Variability of the Effects of Agricultural Practices on the Environment

Rosa Maria Fanelli

ENVIRONMENTS (2020)

添加到收藏夹

Editorial Material Environmental Sciences

Google Earth Engine Applications

Onisimo Mutanga et al.

REMOTE SENSING (2019)

添加到收藏夹

Article Agronomy

Impact of Extreme Heat on Corn Yield in Main Summer Corn Cultivating Area of China at Present and Under Future Climate Change

Qi Zhang et al.

INTERNATIONAL JOURNAL OF PLANT PRODUCTION (2019)

添加到收藏夹

Review Chemistry, Analytical

Precision Agriculture Techniques and Practices: From Considerations to Applications

Uferah Shafi et al.

SENSORS (2019)

添加到收藏夹

Article Soil Science

Digital soil mapping for site-specific management of soils

Birhanu Iticha et al.

GEODERMA (2019)

添加到收藏夹

Article Agriculture, Multidisciplinary

Development and evaluation of an automatic software for management zone delineation

Enrique M. Albornoz et al.

PRECISION AGRICULTURE (2018)

添加到收藏夹

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

添加到收藏夹

Article Computer Science, Information Systems

Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm

Luigi Atzori et al.

AD HOC NETWORKS (2017)

添加到收藏夹

Article Chemistry, Analytical

An Approach to Precise Nitrogen Management Using Hand-Held Crop Sensor Measurements and Winter Wheat Yield Mapping in a Mediterranean Environment

Lucia Quebrajo et al.

SENSORS (2015)

添加到收藏夹

Article Multidisciplinary Sciences

Monitoring Powdery Mildew of Winter Wheat by Using Moderate Resolution Multi- Temporal Satellite Imagery

Jingcheng Zhang et al.

PLOS ONE (2014)

添加到收藏夹

Review Computer Science, Hardware & Architecture

A Few Useful Things to Know About Machine Learning

Pedro Domingos

COMMUNICATIONS OF THE ACM (2012)

添加到收藏夹

Article Agriculture, Multidisciplinary

The application of small unmanned aerial systems for precision agriculture: a review

Chunhua Zhang et al.

PRECISION AGRICULTURE (2012)

添加到收藏夹

Article Agricultural Engineering

DETERMINATION OF MANAGEMENT ZONES FROM NORMALIZED AND STANDARDIZED EQUIVALENT PRODUTIVITY MAPS IN THE SOYBEAN CULTURE

Grazieli Suszek et al.

ENGENHARIA AGRICOLA (2011)

添加到收藏夹

Article Agriculture, Multidisciplinary

A segmentation algorithm for the delineation of agricultural management zones

Moacir Pedroso et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)

添加到收藏夹

Article Agriculture, Multidisciplinary

Determination of management zones for a tobacco field based on soil fertility

Wang Xin-Zhong et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2009)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Learning from Imbalanced Data

Haibo He et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An experimental comparison of performance measures for classification

C. Ferri et al.

PATTERN RECOGNITION LETTERS (2009)

添加到收藏夹

Article Agriculture, Multidisciplinary

Determination of management zones in corn (Zea mays L.) based on soil fertility

Rodrigo A. Ortega et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2007)

添加到收藏夹

Article Plant Sciences

Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves

AA Gitelson et al.

JOURNAL OF PLANT PHYSIOLOGY (2003)

添加到收藏夹

Article Psychology, Multidisciplinary

Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression

SC Lemon et al.

ANNALS OF BEHAVIORAL MEDICINE (2003)

添加到收藏夹

Article Agriculture, Multidisciplinary

Precision agriculture - a worldwide overview

NQ Zhang et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2002)

添加到收藏夹

Article Environmental Sciences

Novel algorithms for remote estimation of vegetation fraction

AA Gitelson et al.

REMOTE SENSING OF ENVIRONMENT (2002)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

添加到收藏夹

Article Environmental Sciences

Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance

CST Daughtry et al.

REMOTE SENSING OF ENVIRONMENT (2000)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.