Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review

Preite, Luca; Solari, Federico; Vignali, Giuseppe

doi:10.3390/su15075975

Cited by 16 publications

(6 citation statements)

References 80 publications

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“…Remote sensing plays a vital role in modern agriculture since it can effectively provide and improve food security and sustainable crop growth by monitoring the quality and quantity of crops. Moreover, the application of remote sensing, especially in its water-related contexts, has the potential to furnish sustainable resolutions for addressing the imminent challenge of irrigation water scarcity [31]. The infrastructure of these systems is wireless sensor networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Smart Agriculture Monitoring via Connectivity Management Scheme and Dynamic Clustering Strategy

Ahmadi,

Abedi,

Emadi

2024

Inventions

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The evolution of agriculture towards a modern, intelligent system is crucial for achieving sustainable development and ensuring food security. In this context, leveraging the Internet of Things (IoT) stands as a pivotal strategy to enhance both crop quantity and quality while effectively managing natural resources such as water and fertilizer. Wireless sensor networks, the backbone of IoT-based smart agricultural infrastructure, gather ecosystem data and transmit them to sinks and drones. However, challenges persist, notably in network connectivity, energy consumption, and network lifetime, particularly when facing supernode and relay node failures. This paper introduces an innovative approach to address these challenges within heterogeneous wireless sensor network-based smart agriculture. The proposed solution comprises a novel connectivity management scheme and a dynamic clustering method facilitated by five distributed algorithms. The first and second algorithms focus on path collection, establishing connections between each node and m-supernodes via k-disjoint paths to ensure network robustness. The third and fourth algorithms provide sustained network connectivity during node and supernode failures by adjusting transmission powers and dynamically clustering agriculture sensors based on residual energy. In the fifth algorithm, an optimization algorithm is implemented on the dominating set problem to strategically position a subset of relay nodes as migration points for mobile supernodes to balance the network’s energy depletion. The suggested solution demonstrates superior performance in addressing connectivity, failure tolerance, load balancing, and network lifetime, ensuring optimal agricultural outcomes.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing Smart Agriculture Monitoring via Connectivity Management Scheme and Dynamic Clustering Strategy

Ahmadi,

Abedi,

Emadi

2024

Inventions

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“…However, the energy requirements for running these automated and monitoring systems should be noted. While they may optimize water and nutrient use, they also require a continuous power supply, which could increase the operation's carbon footprint if the energy is sourced from non-renewable resources [82,83].…”

Section: Innovations In Substrate-based Cultivation Techniquesmentioning

confidence: 99%

New Generation Sustainable Technologies for Soilless Vegetable Production

Fuentes-Peñailillo,

Gutter,

Vega

et al. 2024

Horticulturae

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This review article conducts an in-depth analysis of the role of next-generation technologies in soilless vegetable production, highlighting their groundbreaking potential to revolutionize yield, efficiency, and sustainability. These technologies, such as AI-driven monitoring systems and precision farming methods, offer unparalleled accuracy in monitoring critical variables such as nutrient concentrations and pH levels. However, the paper also addresses the multifaceted challenges that hinder the widespread adoption of these technologies. The high initial investment costs pose a significant barrier, particularly for small- and medium-scale farmers, thereby risking the creation of a technological divide in the industry. Additionally, the technical complexity of these systems demands specialized expertise, potentially exacerbating knowledge gaps among farmers. Other considerations are scrutinized, including data privacy concerns and potential job displacement due to automation. Regulatory challenges, such as international trade regulations and policy frameworks, are discussed, as they may need revision to accommodate these new technologies. The paper concludes by emphasizing that while these sustainable technologies offer transformative benefits, their potential for broad adoption is constrained by a complex interplay of financial, technical, regulatory, and social factors.

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“…It should be emphasized that in this methodology, the water consumption of a crop over 30 years of the study is considered unchanged, although, because of technological evolutions and the link between water consumption and agriculture strategies, the water consumption by a crop may vary from year to year [31].…”

Section: Estimation Of Net Water Consumptionmentioning

confidence: 99%

Satellite-Based Monitoring of Growing Agricultural Water Consumption in Hyper-Arid Regions

Ebrahimivand,

Hooshyaripor,

Rezaei-Gharehaghaj

et al. 2023

Water

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Land-use change has a key role in hydrologic processes and biodiversity. Although many satellite-based studies have been conducted to reveal the interaction between land-use changes in hydrological processes worldwide, the land-use change impact on agricultural water consumption in hyper-arid regions is poorly understood. Here, we investigate increased agricultural water consumption in the Qom province, a hyper-arid region in Iran, using derived imageries from Landsat 5 Tm and Landsat 8 OLI during the last three decades. We used maximum likelihood classification (MLC) and decision tree classification (DTC) to analyze the satellite images. The MLC method showed that croplands have increased from 30,547 ha in 1989 to 39,255 ha in 2019 (i.e., a 29% increase). In this period, the total orchard area increased from 3904 ha to 6307 ha, revealing a growth of 61%. In the DTC method, the increases in the cropland and orchard areas were, respectively, 34% and 60%. Although both MLC and DTC satisfied the accuracy criteria, the former was more consistent than the latter concerning ground data and documented statistics. Satellite-based and MLC results showed an increase in agricultural water consumption from 152 million cubic meters (MCM) in 1989 to 209 MCM in 2019, showing a 38% increase (i.e., 1.27% annually). Our findings send an alarming message for policymakers to reduce the water demand through sustainable agricultural practices in the Qom province, where the agricultural sector uses approximately 90% of annual water demand.

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Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review

Cited by 16 publications

References 80 publications

Enhancing Smart Agriculture Monitoring via Connectivity Management Scheme and Dynamic Clustering Strategy

Enhancing Smart Agriculture Monitoring via Connectivity Management Scheme and Dynamic Clustering Strategy

New Generation Sustainable Technologies for Soilless Vegetable Production

Satellite-Based Monitoring of Growing Agricultural Water Consumption in Hyper-Arid Regions

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