Towards efficient irrigation management at field scale using new technologies: A systematic literature review

No abstract is available for this paper.

• Publication year

  2024

• Venue

  Agricultural Water Management

• Publication date

  2024-04-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.agwat.2024.108758
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Assessment of crop evapotranspiration and deep percolation in a commercial irrigated citrus orchard under semi-arid climate: Combined Eddy-Covariance measurement and soil water balance-based approach

  2023cited by this paper
• Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China

  2023cited by this paper
• A novel autonomous irrigation system for smart agriculture using AI and 6G enabled IoT network

  2023cited by this paper
• Identifying plant disease and severity from leaves: A deep multitask learning framework using triple-branch Swin Transformer and deep supervision

  2023cited by this paper
• Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil

  2023cited by this paper
• Increased heat stress reduces future yields of three major crops in Pakistan’s Punjab region despite intensification of irrigation.

  2023cited by this paper
• Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms

  2023cited by this paper
• Short-term prediction of reference crop evapotranspiration based on machine learning with different decomposition methods in arid areas of China

  2023cited by this paper
• Comparison of predictions of daily evapotranspiration based on climate variables using different data mining and empirical methods in various climates of Iran

  2023cited by this paper
• YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems

  2023cited by this paper
• IoT based dynamic Bayesian prediction of crop evapotranspiration in soilless cultivations

  2023cited by this paper
• Development of a Digital Twin for smart farming: Irrigation management system for water saving

  2023cited by this paper
• Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information

  2023cited by this paper
• AgriDet: Plant Leaf Disease severity classification using agriculture detection framework

  2023cited by this paper
• Quantifying winter wheat evapotranspiration and crop coefficients under sprinkler irrigation using eddy covariance technology in the North China Plain

  2023cited by this paper
• Improved generalization of a plant-detection model for precision weed control

  2023cited by this paper
• Deep learning based multi-labelled soil classification and empirical estimation toward sustainable agriculture

  2023cited by this paper
• Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods

  2023cited by this paper
• Assessment of temporal and spatial variability of irrigation groundwater quality on the flanks of Mount Meru, northern Tanzania

  2023cited by this paper
• Prediction of soil salinity parameters using machine learning models in an arid region of northwest China

  2023cited by this paper
• Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach

  2023cited by this paper
• Development of an evapotranspiration estimation method for lettuce via mobile phones using machine vision: Proof of concept

  2023cited by this paper
• A Multihead Lstm Technique for Prognostic Prediction of Soil Moisture

  2023cited by this paper
• Variation in Soil Chemical Properties in Relation to Vegetation Characteristics in a Serpentine Area of Hokkaido, Japan

  2022cited by this paper
• Building inexpensive topsoil saturated hydraulic conductivity maps for land planning based on machine learning and geostatistics

  2022cited by this paper
• Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review

  2022cited by this paper
• Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal

  2022cited by this paper
• Deep learning for proximal soil sensor development towards smart irrigation

  2022cited by this paper
• Autonomous Application Controls on Smart Irrigation

  2022cited by this paper
• Data analytics platforms for agricultural systems: A systematic literature review

  2022cited by this paper
• Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level

  2022cited by this paper
• Response and contribution of shallow groundwater to soil water/salt budget and crop growth in layered soils

  2022cited by this paper
• Response of groundwater chemical characteristics to land use types and health risk assessment of nitrate in semi-arid areas: A case study of Shuangliao City, Northeast China.

  2022cited by this paper
• Effect of film mulching on crop yield and water use efficiency in drip irrigation systems: A meta-analysis

  2022cited by this paper
• Root-zone soil moisture estimation based on remote sensing data and deep learning.

  2022cited by this paper
• Prediction of daily reference crop evapotranspiration in different Chinese climate zones: Combined application of key meteorological factors and Elman algorithm

  2022cited by this paper
• Soil moisture forecast for smart irrigation: The primetime for machine learning

  2022cited by this paper
• Water optimization technique for precision irrigation system using IoT and machine learning

  2022cited by this paper
• Novel energy management scheme in IoT enabled smart irrigation system using optimized intelligence methods

  2022cited by this paper
• Artificial neural network optimization to predict saturated hydraulic conductivity in arid and semi-arid regions

  2022cited by this paper
• Optimized empirical model based on whale optimization algorithm for simulate daily reference crop evapotranspiration in different climatic regions of China

  2022cited by this paper
• AN OVERVIEW OF SMART IRRIGATION SYSTEMS USING IOT

  2022cited by this paper
• Groundwater Level Prediction with Meteorologically Sensitive Gated Recurrent Unit (GRU) Neural Networks

  2022cited by this paper
• Food security and nutrition in the world

  2022cited by this paper
• Evaluation of machine learning algorithms in the prediction of hydraulic conductivity and soil moisture at the Brazilian Savannah

  2022cited by this paper
• Influence of soil physical and chemical properties on mechanical characteristics under different cultivation durations with Mollisols

  2022cited by this paper
• Smart fuzzy irrigation system for litchi orchards

  2022cited by this paper
• Comparing visible-near-infrared spectroscopy with classical regression pedotransfer functions for predicting near-saturated and saturated hydraulic conductivity of calcareous soils

  2022cited by this paper
• Spatiotemporal modeling to predict soil moisture for sustainable smart irrigation

  2022cited by this paper
• P2OP - Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection

  2022cited by this paper
• Toward improved lumped groundwater level predictions at catchment scale: mutual integration of water balance mechanism and deep learning method

  2022cited by this paper
• Multilayer perceptron neural network based models for prediction of the rainfall and reference crop evapotranspiration for sub-humid climate of Dapoli, Ratnagiri District, India

  2022cited by this paper
• CST: Convolutional Swin Transformer for detecting the degree and types of plant diseases

  2022cited by this paper
• Spatial distribution of evapotranspiration by fractional vegetation cover index on irrigated cropland banana (Musa Spp.) in the semiarid

  2022cited by this paper
• Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China

  2022cited by this paper
• Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States

  2021cited by this paper
• Digital mapping of soil chemical properties with limited data in the Thung Kula Ronghai region, Thailand

  2021cited by this paper
• Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study

  2021cited by this paper
• Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale

  2021cited by this paper
• Crop evapotranspiration prediction by considering dynamic change of crop coefficient and the precipitation effect in back-propagation neural network model

  2021cited by this paper
• Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices

  2021cited by this paper
• Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China

  2021cited by this paper
• Designing smart and sustainable irrigation: A case study

  2021cited by this paper
• Controlling factors of soil saturated hydraulic conductivity in Taihang Mountain Region, northern China

  2021cited by this paper
• Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

  2021cited by this paper
• Dual-branch, efficient, channel attention-based crop disease identification

  2021cited by this paper
• Classification of weed seeds based on visual images and deep learning

  2021cited by this paper
• Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks

  2021cited by this paper
• Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm

  2020cited by this paper
• Assessing models for prediction of some soil chemical properties from portable X-ray fluorescence (pXRF) spectrometry data in Brazilian Coastal Plains

  2020cited by this paper
• Multiple AI model integration strategy—Application to saturated hydraulic conductivity prediction from easily available soil properties

  2020cited by this paper
• Artificial intelligence system for supporting soil classification

  2020cited by this paper
• How to relevantly characterize hydraulic properties of saline and sodic soils for water and solute transport simulations

  2020cited by this paper
• Soil water availability alter the weed community and its interference on onion crops

  2020cited by this paper
• CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China

  2020cited by this paper
• Crop Evapotranspiration

  2019cited by this paper
• Comparison of precision and conventional irrigation management of cotton and impact of soil texture

  2019cited by this paper
• IoT based low cost and intelligent module for smart irrigation system

  2019cited by this paper
• IoT-solar energy powered smart farm irrigation system

  2019cited by this paper
• Obstacles and features of Farm Management Information Systems: A systematic literature review

  2019cited by this paper
• Temperature effect on yield of winter and spring irrigated crops

  2019cited by this paper
• An IoT based smart irrigation management system using Machine learning and open source technologies

  2018cited by this paper
• Determining in-situ unsaturated soil hydraulic conductivity at a fine depth scale with heat pulse and water potential sensors

  2018cited by this paper
• Artificial Neural Networks for Predicting the Water Retention Curve of Sicilian Agricultural Soils

  2018cited by this paper
• Molecular and genetic basis of plant macronutrient use efficiency: concepts, opportunities, and challenges

  2017cited by this paper
• Evaluating the impact of groundwater on cotton growth and root zone water balance using Hydrus-1D coupled with a crop growth model

  2015cited by this paper
• Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review

  2010cited by this paper
• Systematic literature reviews in software engineering - A systematic literature review

  2009cited by this paper
• Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa

  2007cited by this paper

• Image-based machine learning models for customized soil moisture management.

  2026cites this paper
• Relating spatial turfgrass quality to actual evapotranspiration for precision golf course irrigation

  2025cites this paper
• A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning

  2025cites this paper
• Digital technologies for water use and management in agriculture: Recent applications and future outlook

  2025cites this paper
• Advancing Agroecology for Sustainable Water Management: A Comprehensive Review and Future Directions in North African Countries

  2025cites this paper
• PRISMA-Guided Systematic Review on the Adoption of Artificial Intelligence and Embedded Systems for Smart Irrigation

  2025cites this paper
• Field-scale evaluation of low-elevation and mobile drip irrigation systems

  2025cites this paper
• Towards a new data transmission model for smart farms

  2025cites this paper
• Geometric Characteristics of Dripper Labyrinths and Accumulation of Solid Particles: Simulation and Experimentation

  2025cites this paper
• Innovative Applications of Internet of Things and Machine Learning in Sustainable Agricultural Irrigation Management: Benefits and Challenges

  2025cites this paper
• MAIN DIRECTIONS OF APPLICATION OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE: A REVIEW

  2025cites this paper
• Hydraulic and flow measurement performance of integrated sluice gates in U-shaped channels with varying slopes

  2025cites this paper
• Sustainable optimization of pharmaceutical synthesis: applications and benefits of continuous flow chemistry

  2025cites this paper
• Cloud-Based Precision Irrigation System: Optimizing Water Usage With Real-Time Environmental And Crop Factor Data

  2025cites this paper
• Low‐Carbon Agricultural Strategies: Toward Environmental Protection and Energy Efficiency

  2025cites this paper
• Can Moistube irrigation (MTI) self-regulate to ambient temperature and soil-atmosphere interface conditions? MTI performances under simulated temperature, wind, radiation, transpiration, and precipitation

  2025cites this paper
• Towards a modelling, optimization and predictive control framework for smart irrigation

  2024cites this paper
• Predictive Vigilance: Harnessing Internet of Things and Machine Learning for Smoke Detection

  2024cites this paper