Precision irrigation management using machine learning and digital farming solutions
Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
M Bagheri, N Farshforoush, K Bagheri… - Process Safety and …, 2023 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …
patterns in environmental data. Despite their capabilities, these novel technologies have not …
Prediction of greenhouse tomato crop evapotranspiration using XGBoost machine learning model
Crop evapotranspiration estimation is a key parameter for achieving functional irrigation
systems. However, ET is difficult to directly measure, so an ideal solution was to develop a …
systems. However, ET is difficult to directly measure, so an ideal solution was to develop a …
Artificial neural networks and computer vision's-based phytoindication systems for variable rate irrigation improving
G Kamyshova, A Osipov, S Gataullin… - IEEE …, 2022 - ieeexplore.ieee.org
The article proposes a methodology for optimizing the process of irrigation of crops using a
phytoindication system based on computer vision methods. We have proposed an algorithm …
phytoindication system based on computer vision methods. We have proposed an algorithm …
[HTML][HTML] Applying case-based reasoning and a learning-based adaptation strategy to irrigation scheduling in grape farming
As a key part of vineyard management, irrigation of grapevines puts forward the need of
scheduling water resources in a more precise and efficient way. Typically, irrigation plans …
scheduling water resources in a more precise and efficient way. Typically, irrigation plans …
Convolutional neural networks facilitate river barrier detection and evidence severe habitat fragmentation in the Mekong River biodiversity hotspot
Construction of river infrastructure, such as dams and weirs, is a global issue for ecosystem
protection due to the fragmentation of river habitat and hydrological alteration it causes …
protection due to the fragmentation of river habitat and hydrological alteration it causes …
Improve irrigation timing decision for agriculture using real time data and machine learning
J Cardoso, A Gloria, P Sebastiao - … international conference on …, 2020 - ieeexplore.ieee.org
With the constant evolution of technology and the constant appearance of new solutions
that, when combined, manage to achieve sustainability, the exploration of these systems is …
that, when combined, manage to achieve sustainability, the exploration of these systems is …
Automated Irrigation System based on irrigation gates using fuzzy logic
Water resources in the world are running down rapidly. In Pakistan, 93% of water is used to
irrigate agricultural land, and more than 60% wasted during irrigation. The main causes of …
irrigate agricultural land, and more than 60% wasted during irrigation. The main causes of …
Application of multi-criteria analytic methods in the assessment of the technical conditions of small hydraulic structures
Increasing water demand, combined with unfavourable climate change, creates a need for
well-thought-out water management. Such goals are realised thanks to appropriate …
well-thought-out water management. Such goals are realised thanks to appropriate …
Rotary gate discharge determination for inclusive data from free to submerged flow conditions using ENN, ENN–GA, and SVM–SA
A Marashi, S Kouchakzadeh… - Journal of …, 2023 - iwaponline.com
This study aims at evaluating the performance of the Elman Neural Network (ENN), Elman
Neural Network-Genetic Algorithm (ENN–GA), and Support Vector Machine-simulated …
Neural Network-Genetic Algorithm (ENN–GA), and Support Vector Machine-simulated …