Cargando…

Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices

Accurate crop yield forecasting is essential in the food industry’s decision-making process, where vegetation condition index (VCI) and thermal condition index (TCI) coupled with machine learning (ML) algorithms play crucial roles. The drawback, however, is that a one-fits-all prediction model is of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pham, Hoa Thi, Awange, Joseph, Kuhn, Michael, Nguyen, Binh Van, Bui, Luyen K.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840272/ https://www.ncbi.nlm.nih.gov/pubmed/35161461 http://dx.doi.org/10.3390/s22030719

Ejemplares similares

Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models
por: Pham, Hoa Thi, et al.
Publicado: (2022)

Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981–2019): Understanding Their Links to Rice Yield
por: Bui, Luyen K., et al.
Publicado: (2022)

Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
por: Fei, Shuaipeng, et al.
Publicado: (2022)

Self-Supervised Learning of Satellite-Derived Vegetation Indices for Clustering and Visualization of Vegetation Types
por: Sharma, Ram C., et al.
Publicado: (2021)

Synergistic integration of optical and microwave satellite data for crop yield estimation
por: Mateo-Sanchis, Anna, et al.
Publicado: (2019)

Hybrid imaging and visualization: employing machine learning with Mathematica - Python
por: Awange, Joseph, et al.
Publicado: (2020)

Utilizing spectral vegetation indices for yield assessment of tomato genotypes grown in arid conditions
por: Aldubai, Abdulhakim A., et al.
Publicado: (2022)

County-scale crop yield prediction by integrating crop simulation with machine learning models
por: Sajid, Saiara Samira, et al.
Publicado: (2022)

Using machine learning for crop yield prediction in the past or the future
por: Morales, Alejandro, et al.
Publicado: (2023)

Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
por: Corbari, Chiara, et al.
Publicado: (2017)

Investigating the response of soil and vegetable crops to poultry and cow manure using ground and satellite data
por: Al-Gaadi, Khalid A., et al.
Publicado: (2019)

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
por: Shahhosseini, Mohsen, et al.
Publicado: (2021)

The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes
por: Nguyen, Linh Phuong, et al.
Publicado: (2023)

Calibration Curve for Dicentric Chromosomes Induced in Human Blood Lymphocytes Exposed to Gamma Rays at a Dose Rate of 12.5 mGy/s
por: Que, Tran, et al.
Publicado: (2016)

Crop loss identification at field parcel scale using satellite remote sensing and machine learning
por: Hiremath, Santosh, et al.
Publicado: (2021)

Adverse events in the treatment of MDR-TB patients within and outside the NTP in Pham Ngoc Thach hospital, Ho Chi Minh City, Vietnam
por: Hoa, Nguyen Binh, et al.
Publicado: (2015)

UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture †
por: Mazzia, Vittorio, et al.
Publicado: (2020)

Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices
por: Dinh Le, Tuan, et al.
Publicado: (2022)

Is Serum Lactate a Good Predictor of Mortality in Children Aged 2 Months to 5 Years With Pneumonia in Central Vietnam
por: Bui-Binh-Bao, Son, et al.
Publicado: (2021)

α-Amylase and α-Glucosidase Inhibitory Activities of Chemical Constituents from Wedelia chinensis (Osbeck.) Merr. Leaves
por: Thao, Nguyen Phuong, et al.
Publicado: (2018)

Uncertainties of potentials and recent changes in global yields of major crops resulting from census- and satellite-based yield datasets at multiple resolutions
por: Iizumi, Toshichika, et al.
Publicado: (2018)

Sucrose Utilization for Improved Crop Yields: A Review Article
por: Aluko, Oluwaseun Olayemi, et al.
Publicado: (2021)

Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
por: Liu, Yu, et al.
Publicado: (2022)

Can Satellites Predict Yield? Ensemble Machine Learning and Statistical Analysis of Sentinel-2 Imagery for Processing Tomato Yield Prediction
por: Darra, Nicoleta, et al.
Publicado: (2023)

Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms
por: Levitan, Nathaniel, et al.
Publicado: (2018)

Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop
por: Singh, RN, et al.
Publicado: (2023)

Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
por: Pan, Wen, et al.
Publicado: (2023)

Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam
por: Tran Quoc, Viet, et al.
Publicado: (2023)

Prediction of Crop Yield Using Phenological Information Extracted from Remote Sensing Vegetation Index
por: Ji, Zhonglin, et al.
Publicado: (2021)

The Effects of the Microbial Biostimulants Approved by EU Regulation 2019/1009 on Yield and Quality of Vegetable Crops
por: Fusco, Giovanna Marta, et al.
Publicado: (2022)

Physiological and Molecular Approaches for Developing Thermotolerance in Vegetable Crops: A Growth, Yield and Sustenance Perspective
por: Chaudhary, Shikha, et al.
Publicado: (2022)

Assessment of vegetation growth and drought conditions using satellite-based vegetation health indices in Jing-Jin-Ji region of China
por: Jiang, Rengui, et al.
Publicado: (2021)

Evaluation of Soil Management Effect on Crop Productivity and Vegetation Indices Accuracy in Mediterranean Cereal-Based Cropping Systems †
por: Orsini, Roberto, et al.
Publicado: (2020)

Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices
por: Zhang, Yu, et al.
Publicado: (2019)

Comparative assessment of satellite‐ and drone‐based vegetation indices to predict arthropod biomass in shrub‐steppes
por: Traba, J., et al.
Publicado: (2022)

Retracted: Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Agricultural burned area detection using an integrated approach utilizing multi spectral instrument based fire and vegetation indices from Sentinel-2 satellite
por: Deshpande, Monish Vijay, et al.
Publicado: (2022)

Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
por: He, Yiyin, et al.
Publicado: (2023)

The Ionomic Study of Vegetable Crops
por: Watanabe, Toshihiro, et al.
Publicado: (2016)

An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms
por: Anbananthen, Kalaiarasi Sonai Muthu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_6vro1munpde6smrsl0e3apqoa5