Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review

Bwambale, Erion; Abagale, Felix K.; Anornu, Geophrey K.

doi:10.1016/j.agwat.2021.107324

Cited by 204 publications

(87 citation statements)

References 60 publications

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“…Major bibliography indices are searched to review the existing solutions. Bwambale, Erion [19] review the smart irrigation water strategies using the IoT for irrigation water scheduling. The study explores soil, plant, and environment-based monitoring and irrigation water scheduling with the conclusion that smart irrigation is effective for the conservation of irrigation water.…”

Section: Literature Reviewmentioning

confidence: 99%

Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation

et al. 2022

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Accurate Evapotranspiration for saline soils (ETs) is important as well as challenging for the reclamation of saline soils through an effective leaching process. Evapotranspiration (ET) by FAO-56 Penman-Monteith standard method is complex, especially for saline soils. Moreover, existing studies focus on the use of the Internet of Things (IoT) and machine learning-enabled smart and precision irrigation water recommendation systems along with the ET estimation by limited parameters. The ETs for saline soils are also equally important for the reclamation of saline soils, which is ignored by the existing literature. The study proposed IoT and machine leaching-based architecture of context-aware monthly ETs estimations for saline soil reclamation with the effective leaching process. The IoT-enabled crop field contexts in terms of crop field temperature, soil salinity, and irrigation water salinity are used as input features to the Long Short-Term Memory (LSTM) and ensembled LSTM models for monthly ETs predictions. The performance of the proposed solution is observed in terms of the accuracy of the machine learning models along with the comparison against the FAO-56 PM-based standard method. The implementation of the proposed solution reveals that the ensembled LSTM-based approach for ETs is more accurate as compared to the LSTM model with accuracies of 92 and 90% for the training and validation datasets, respectively. The predictions made by the ensembled LSTM are more in line with the FAO-56 PM-based method with a Pearson correlation of 0.916 as compared to LSTM models. The implementation of the proposed solution in real-time environments reveals that the proposed solution is more effective in reducing the soil salinity as compared to the traditional method.

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Section: Literature Reviewmentioning

confidence: 99%

Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation

et al. 2022

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“…The main item and its meaning References Agriculture is the backbone of most economies in the world as it contributes significantly to the Gross Domestic Product (GDP) and provides food security Bwambale et al (2022) Water use efficiency in irrigated agriculture is the ratio of estimated irrigation water requirements to the actual water withdrawal. Water use efficiency is dimensionless and can be applied to plant, field, scheme, as well on basin and country scale.…”

Section: : the Basic Information About The Smart Irrigation And Recen...mentioning

confidence: 99%

Is the Smart Irrigation the Right Strategy under the Global Water Crisis? A Call for Photographical and Drawn Articles

Abdalla

El-Sawy²,

El-Bassiony³

et al. 2022

EBSS

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ATER is the main limiting factor of our life and any human activity. In all our life activities including agriculture and industry, water has a vital role in these previous sectors. This reflects the importance of water especially under many global challenges (mainly climate changes, global explosion of population, soil degradation, desertification and hunger). The using of water in irrigation is a very common practice in agriculture because no agriculture without water. The management of irrigation water has become one of the urgent needs nowadays under the terrible progress of bioinformatic technology. The smart irrigation is considered one of the most common applications in smart or precision agriculture. The main components of smart irrigation system may include soil, weather and plant sensors such as soil moisture sensor controllers, evapotranspiration controllers, and rain sensors. This work is an attempt to answer one question about smart irrigation whether it is an important strategy to overcome the global water crisis or not. This is also a call by Environment, Biodiversity and Soil Security (EBSS) for receiving articles on smart irrigation, different applications of smart irrigation in smart agriculture, their challenges, their obstacles and the novel solutions in this concern. This topic has several open questions needs to be answered. The use of the Internet of Things is one of the important solutions for smart monitoring and control of the irrigation process.

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“…Some previous review works have investigated the current trend in the area of smart monitoring and control of irrigation [6,8,[21][22][23]. Numerous papers have explored the role of machine learning in enabling smart irrigation [14,[24][25][26][27][28][29][30]; these are summarized in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

et al. 2022

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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 available freshwater. This underscores the importance of responsible management, using smart agricultural water technologies. The focus of this paper is to investigate research regarding the integration of different machine learning models that can provide optimal irrigation decision management. This article reviews the research trend and applicability of machine learning techniques, as well as the deployment of developed machine learning models for use by farmers toward sustainable irrigation management. It further discusses how digital farming solutions, such as mobile and web frameworks, can enable the management of smart irrigation processes, with the aim of reducing the stress faced by farmers and researchers due to the opportunity for remote monitoring and control. The challenges, as well as the future direction of research, are also discussed.

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Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review

Cited by 204 publications

References 60 publications

Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation

Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation

Is the Smart Irrigation the Right Strategy under the Global Water Crisis? A Call for Photographical and Drawn Articles

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

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