Machine learning in agriculture: A review
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …
to create new opportunities for data intensive science in the multi-disciplinary agri …
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
A El Bilali, T Abdeslam, N Ayoub, H Lamane… - Journal of …, 2023 - Elsevier
Evaporation is an important hydrological process in the water cycle, especially for water
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions
Accurate estimation of reference evapotranspiration (ET 0) is critical for water resource
management and irrigation scheduling. This study evaluated the potential of a new machine …
management and irrigation scheduling. This study evaluated the potential of a new machine …
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods
Z Chen, Z Zhu, H Jiang, S Sun - Journal of Hydrology, 2020 - Elsevier
To evaluate the performance of deep learning methods (DL) for reference
evapotranspiration estimation and to assess the applicability of the developed DL models …
evapotranspiration estimation and to assess the applicability of the developed DL models …
Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
Accurate estimation of reference evapotranspiration (ETo) is required in many fields, eg
irrigation scheduling design, agricultural water management, crop growth modeling and …
irrigation scheduling design, agricultural water management, crop growth modeling and …
Crop prediction model using machine learning algorithms
Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …
transforming the data processing method and decision making. Agriculture is one of the …
Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–A new approach
LB Ferreira, FF da Cunha, RA de Oliveira… - Journal of …, 2019 - Elsevier
Reference evapotranspiration (ET o) is a variable of great importance for several purposes,
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …