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Estimation of morphological traits of foliage and effective plant spacing in NFT-based aquaponics system

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Artificial Intelligence in Agriculture 2023年第3期9卷 76-88页

作者： R.Abbasi P.Martinez R.Ahmad aquaponics 4.0 Learning Factory(AllFactory) Department of Mechanical EngineeringUniversity of Alberta9211116 St.EdmontonAB T6G 2G8Canada Mechanical and Construction Engineering Department Northumbria UniversityNewcastle upon Tyne NE77YTUK

Deep learning and computer vision techniques have gained significant attention in the agriculture sector due to their non-destructive and contactless *** techniques are also being integrated into modern farming systems,such as aquaponics,to address the challenges hindering its commercialization and large-scale *** is a farming technology that combines a recirculating aquaculture system and soilless hydroponics agriculture,that promises to address food security *** complement the current research efforts,a methodology is proposed to automatically measure the morphological traits of crops such as width,length and area and estimate the effective plant spacing between grow *** spacing is one of the key design parameters that are dependent on crop type and its morphological traits and hence needs to be monitored to ensure high crop yield and quality which can be impacted due to foliage occlusion or overlapping as the crop *** proposed approach uses Mask-RCNN to estimate the size of the crops and a mathematical model to determine plant spacing for a self-adaptive aquaponics *** common little gem romaine lettuce,the growth is estimated within 2 cm of error for both length and *** final model is deployed on a cloud-based application and integrated with an ontology model containing domain knowledge of the aquaponics *** relevant knowledge about crop characteristics and optimal plant spacing is extracted from ontology and compared with results obtained from the final model to suggest further *** proposed application finds its signifi-cance as a decision support system that can pave the way for intelligent system monitoring and control.

关键词： Deep learning Ontology modeling Crop phenotyping Leafy crops aquaponics Digital farming Plant spacing

Crop diagnostic system:A robust disease detection and management system for leafy green crops grown in an aquaponics facility

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Artificial Intelligence in Agriculture 2023年第4期10卷 1-12页

Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses during their growth cycle,just like traditional *** early detection of diseases is crucial to witnessing the efficiency and progress of the aquaponics *** combines recirculating aquaculture and soilless hydroponics methods and promises to ensure food security,reduce water scarcity,and eliminate carbon *** the large-scale imple-mentation of this farming technique,a unified system is needed that can detect crop diseases and support re-searchers and farmers in identifying potential causes and treatments at early *** study proposes an automatic crop diagnostic system for detecting biotic stresses and managing diseases in four leafy green crops,lettuce,basil,spinach,and parsley,grown in an aquaponics ***,a dataset comprising 2640 images is ***,a disease detection system is developed that works in three *** first phase is a crop clas-sification system that identifies the type of *** second phase is a disease identification system that determines the crop's health *** final phase is a disease detection system that localizes and detects the diseased and healthy spots in leaves and categorizes the *** proposed approach has shown promising results with accuracy in each of the three phases,reaching 95.83%,94.13%,and 82.13%,*** final dis-ease detection system is then integrated with an ontology model through a cloud-based *** ontol-ogy model contains domain knowledge related to crop pathology,particularly causes and treatments of different diseases of the studied leafy green crops,which can be automatically extracted upon disease detection allowing agricultural practitioners to take precautionary *** proposed application finds its significance as a de-cision support system that can automate aquaponics facility health monitoring and assist agricultural practi-tione

关键词： Computer vision Deep learning Disease detection Leafy crops aquaponics Digital farming

Enhancing aquaponics management with IoT-based Predictive Analytics for efficient information utilization

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Information Processing in Agriculture 2019年第3期6卷 375-385页

作者： Divas Karimanzira Thomas Rauschenbach Dept of Surface and Maritime Systems Fraunhofer I0SB-ASTIlmenauAm Vogelherd 5098689 IlmenauGermany

Modern aquaponic systems can be highly successful,but they require intensive monitoring,control and ***,the Automation Pyramid(AP)with its layers of Supervisory Control and Data Acquisition(SCADA),Enterprise Resource Planning(ERP)and Manufacturing Execution System(MES)is applied for process *** cloudbased IoT-based Predictive Analytics at the fore marsh,it is worth finding out if IoTwill make these technologies obsolete,or they can work together to gain more beneficial *** this paper,we will discuss the enhancement of SCADA,ERP and MES with IoT in aquaponics and likewise how IoT-based Predictive Analytics can help to get more out of *** example use case of an aquaponics project with five demonstration sites in different geographical locations will be presented to show the benefits of IoT on example Predictive Analytics *** is the collection of data from the five demonstration sites over IoT to make the models of fish,tomatoes,technical components such as filters used for remote monitoring,predictive remote maintenance and economical optimization of the individual plants *** of the various models,fish and crop growth models,models for econometric optimization were evaluated using Monte Carlo Simulations revealing as expected the superiority of the IoT-based *** analysis suggest that the models are generally tolerant to the temperature coefficient variations of up to 15%and the econometric models tolerated a variation of for example feed ration size for fish of up to 4%and by the energy optimization models a tolerance of up to 14%by variations of solar radiation could be ***,from the analysis made,it can be concluded that MES has several capabilities which cannot be replaced by IoT such as responsiveness to trigger changes on *** act as proxy when there is no case for sensors and reliably ensure correct execution in the aquaponics *** systems can produce unpreced

关键词： aquaponics Automation pyramid IoT Predictive analytics Big Data

Effect of stocking density on growth performance of monosex Nile Tilapia (Oreochromis niloticus) in the aquaponic system integrated with lettuce (Lactuca sativa)

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Aquaculture and Fisheries 2022年第3期7卷 328-335页

作者： Josiah Sabwa Ani Julius O.Manyala Frank O.Masese Kevin Fitzsimmons School of Natural Resources Department of Fisheries and Aquatic SciencesUniversity of EldoretEldoret30100Kenya School of Spatial Planning and Natural Resource Management Jaramogi Oginga Odinga University of Science and TechnologyBondo40601Kenya Department of Soil Water and Environmental Science College of Agriculture and Life SciencesUniversity of ArizonaTucson85721-0038ArizonaUSA

aquaponics is a fish-plant recirculating system where nutrients received from the fish culture are absorbed by the plants for *** technology is relatively new for fish culture in Kenya,and the principles and operations remain largely untested for many fish *** study determined how stocking density affects the growth performance and water quality in a Nile tilapia-lettuce(Lactuca sativa)aquaponics *** experimental design included five replicates for each of the aquaponic systems stocked at densities of 150,300,and 450 fish/m^(3) for a rearing period of 56 *** treatment had a planting density of 16 lettuce/*** water quality parameters ranges during the rearing period were 3.83-5.35 mg/L for dissolved oxygen,7.44 to 7.6 for pH,0.014 mg/L to 0.032 mg/L for total ammonium nitrate(TAN),1.11-1.34 mg/L for nitrate,and 0.01-0.08 mg/L for nitrite,and all decreased with increasing stocking *** final weight of fingerlings was 25.2±4.2 g,32.0±3.8 g and 42.6±3.1 g for 450,300,and 150 fish/m^(3) *** growth rate(SGR)was reduced with increasing stocking density whereas food conversion ratio(FCR)increased with stocking *** systems with the lowest stocking densities performed better than 300 and 450 fish/m^(3) respectively.

关键词： aquaponics Nile tilapia Lettuce Stocking density

Controlling and regulation of integrated aquaponic production systems – An approach for a management execution system (MES)

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Information Processing in Agriculture 2019年第3期6卷 326-334页

作者： Olaf Witzel Stefan Wilm Divas Karimanzira Daniela Baganz Automation&Software Gunther Tausch GmbH Bassower Str.217034 NeubrandenburgGermany Gesellschaft fur Informationsverarbeitung Fertigungssteuerung und Qualita tssicherungIFQ GmbH WismarAlter Holzhafen 17a23966 WismarGermany Department of Surface and Maritime Systems Fraunhofer I0SB-ASTIlmenauAm Vogelherd 5098689 IlmenauGermany Department of Biology and Ecology of Fishes Leibniz-Institute of Freshwater Ecology and Inland FisheriesBerlinGermany

Manufacturing execution systems(MESs)play a significant role in the manufacturing *** is there to link between the Enterprise Resource Planning(ERP)systems and the plant equipment control or Supervisory Control and Data Acquisition(SCADA)*** this paper the MES of the INAPRO aquaponics system which was developed to support and advise the aquaponics managers in operating the complex aquaponic farms,will be *** important feature of the INAPRO aquaponics system is to minimize fresh water<3%,energy and nutrient *** can only be achieved by appropriate design of the fish and crop mixture,considering the fish to crop ratio,when to sow the crops *** to monitor the system to see whether it performing as designed or ***,the MES has a view to show the designed system with all the material flow(water,energy and nutrients)balances and also how the system will be performing for a given predictive *** the future developments of the system,the operator can taking corrective measures to make sure that the system is behaving as *** example of water balance of a system with 40 m3 fish tanks coupled with a hydroponic NFT system with 1,000 m2 which can produce five tons of Tilapia and 75 tons of tomato yearly is given.

关键词： aquaponics Manufacturing execution system Predictive analytics

Optimal Utilization of Renewable Energy in Aquaponic Systems

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Energy and Power Engineering 2018年第6期10卷 279-300页

作者： Divas Karimanzira Thomas Rauschenbach Department of Surface Water and Maritime Systems Fraunhofer I0SB-AST Ilmenau Germany

Aquaponic systems require energy in different forms, heat, solar radiation, electricity etc. Typical actuator components of an aquaponic system include pumps, aerators, heaters, coolers, feeders, propagators, lights, etc., which need electrical energy to operate. Hybrid Energy Systems (HES) can help in improving the economic and environmental sustainability of aquaponic systems with respect to energy aspects. Energy management is one of the key issues in operating the HES, which needs to be optimized with respect to the current and future change in generation, demand, and market price, etc. In this paper, a Decision Support System (DSS) for optimal energy management of an aquaponic system that integrates different energy sources and storage mechanisms according to priorities will be presented. The integrated model consists of photovoltaic and solar thermal modules, wind turbine, hydropower, biomass plant, CHP, gas boiler, energy and heat storage systems and access to the power grid and district heating. The results show that the proposed method can significantly increase the utilization of HES and reduce the exchange with the power grid and district heating and consequently reduce running costs.

关键词： aquaponics Renewable Energy Modeling Network Flow Optimization