A model predictive controller for precision irrigation using discrete lagurre networks

Abioye, Emmanuel Abiodun; Abidin, Mastura Shafinaz Zainal; Aman, Muhammad Naveed; Mahmud, Mohd Saiful Azimi; Buyamin, Salinda

doi:10.1016/j.compag.2020.105953

Cited by 32 publications

(11 citation statements)

References 37 publications

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“…The experimental greenhouse used 600 l/m 2 /year for watering, compared to 850 l/m 2 /year in the control greenhouse, indicating a comparable gain in water savings. This study's results are similar to those of Abioye et al [ 32 ], who noted a 30% reduction in water consumption with smart irrigation. They also surpass the findings of Meeks et al [ 33 ], who recorded a 10% decrease in irrigation water usage.…”

Section: Resultssupporting

confidence: 90%

Design of a low-cost active and sustainable autonomous system for heating agricultural greenhouses: A case study on strawberry (fragaria vulgaris) growth

Ihoume¹,

Tadili²,

Arbaoui³

et al. 2023

Heliyon

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Section: Resultssupporting

confidence: 90%

Design of a low-cost active and sustainable autonomous system for heating agricultural greenhouses: A case study on strawberry (fragaria vulgaris) growth

Ihoume¹,

Tadili²,

Arbaoui³

et al. 2023

Heliyon

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“…In reference [65], the authors proposed a MPC strategy to control the air temperature within a greenhouse using a particle swarm optimization algorithm. In reference [66], the authors presented a MPC controller able to maximize the crop photosynthesis acting on the water and energy management, while, in reference [67], the MPC adoption in an irrigation system reduced 30% of the water consumption over a period of three weeks. Serale et al in reference [68], implemented a MPC strategy to control the artificial lighting system to optimize the energy efficiency.…”

Section: Overview In Mpc Methods For Greenhouse Efficiencymentioning

confidence: 99%

Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse

et al. 2021

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The sustainable agriculture cultivation in greenhouses is constantly evolving thanks to new technologies and methodologies able to improve the crop yield and to solve the common concerns which occur in protected environments. In this paper, an MPC-based control system has been realized in order to control the indoor air temperature in a high efficiency greenhouse. The main objective is to determine the optimal control signals related to the water mass flow rate supplied by a heat pump. The MPC model allows a predefined temperature profile to be tracked with an energy saving approach. The MPC has been implemented as a multiobjective optimization model that takes into account the dynamic behavior of the greenhouse in terms of energy and mass balances. The energy supply is provided by a ground coupled heat pump (GCHP) and by the solar radiation while the energy losses related to heat transfers across the glazed envelope. The proposed MPC method was applied in a smart innovative greenhouse located in Italy, and its performances were compared with a traditional reactive control method in terms of deviation of the indoor temperature in respect to the desired one and in terms of electric power consumption. The results demonstrated that, for a time horizon of 20 h, in a greenhouse with dimensions 15.3 and 9.9 m and an average height of 4.5 m, the proposed MPC approach saved about 30% in electric power compared with a relay control, guaranteeing a consistent and reliable temperature profile in respect to the predefined tracked one.

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“…The parameters are shown as per previously defined groups (crop parameters, soil parameters, and climatic parameters). A: [151]; B: [152]; C: [153]; D: [154]; E: [155]; F: [156]; G: [150]; H: [157]; I: [149]; J: [158]; K: [159]; L: [160]; M: [161]; N: [162]; O: [163]; P: [164]; Q: [165]; R: [166]; S: [167]; T: [168]; U: [169]; V: [170]; W: [143]; X: [171]; Y: [172]; Z: [173]; Aa: [174]; and Bb: [141].…”

Section: Manual Monitoring Using Smart Toolsmentioning

confidence: 99%

“…The continuous and uninterrupted monitoring of irrigationrelated parameters at different points at desired intervals can be conducted manually using smart sensing tools or devices. The biases in data collection by humans have been reported but the data regarding some specific plant or soil-related parameters could still A: [151]; B: [152]; C: [153]; D: [154]; E: [155]; F: [156]; G: [150]; H: [157]; I: [149]; J: [158]; K: [159]; L: [160]; M: [161]; N: [162]; O: [163]; P: [164]; Q: [165]; R: [166]; S: [167]; T: [168]; U: [169]; V: [170]; W: [143]; X: [171]; Y: [172]; Z: [173]; Aa: [174]; and Bb: [141].…”

Section: Manual Monitoring Using Smart Toolsmentioning

confidence: 99%

“…Many researchers worked on the qualitative and quantitative behavior of crops against precision irrigation. Abioye [159] used an MPC controller in sprinkler irrigation for precision applications and reported 30% water saving. The IoT-based precision irrigation system was used for water saving in tomato production and reported 10% water saving with 71% better uniformity and 27.5% higher yield [220].…”

Section: Use Of Precision Irrigation For Crop Productionmentioning

confidence: 99%

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Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Chauhdary,

Li,

Jiang

et al. 2023

Agronomy

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The non-judicious use of water at the farm level in traditional irrigation application methods is a present-day concern across the world that can be resolved by enhancing application efficiency through the adoption of advanced irrigation techniques. Sprinkler irrigation is a method that has high application efficiency, which can be further increased when coupled with automation toward precision irrigation. The objectives of this review are to summarize the main aspects of sprinkler and precision irrigation and their development, scope, and future prospects specifically in Asian countries. In this paper, a modified methodology, inspired by PRISMA guidelines, was used to explore the available literature to summarize the existing knowledge in the field. Regarding the technological aspects of the analyzed works, it became evident that sprinkler systems are an efficient method to not only irrigate crops (with 39% water saving) but also for the application of fertilizers with higher efficiency (>35%) and water productivity (>14.1%) compared with gravity irrigation systems. Moreover, this paper highlights the prominent features of precision irrigation for maximizing agricultural productivity. The use of sprinkler irrigation with precision applications using automation with a sensor-based mechanism for field data collection, data transformation, data analysis, and operation of IoT-based automatic solenoid valves can save 20–30% more irrigation water and increase crop yield by 20–27%. An analytical understanding and knowledge of the field were used to draw conclusions that are thought-provoking for scientists, researchers, and other stakeholders.

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A model predictive controller for precision irrigation using discrete lagurre networks

Cited by 32 publications

References 37 publications

Design of a low-cost active and sustainable autonomous system for heating agricultural greenhouses: A case study on strawberry (fragaria vulgaris) growth

Design of a low-cost active and sustainable autonomous system for heating agricultural greenhouses: A case study on strawberry (fragaria vulgaris) growth

Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

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