FishEye: A Centroid-Based Stereo Vision Fish Tracking Using Multigene Genetic Programming

Palconit, Maria Gemel B.; Pareja, Michael; Española, Jason L.; Vicerra, Ryan Rhay P.; Concepcion, Ronnie; Sybingco, Edwin; Dadios, Elmer P.

doi:10.1109/r10-htc53172.2021.9641654

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…MSRGP is also capable of accurately tracking and predicting motion, such as the motion trajectory of fish in a tank (Palconit et al 2021a). A similar study noted that MSRGP stood out in performance compared to adaptive neuro-fuzzy inference system (ANFIS) and Gaussian process regression (Palconit et al 2021b).…”

Section: Introductionmentioning

confidence: 81%

“…The low computation time and simple implementation make MSRGP favorable, especially on devices with low processing power (Concepcion et al 2021). In addition, other applications for MSRGP were found to offer higher accuracy over alternative methods such as ANFIS, linear regression, and recurrent neural network (Concepcion et al 2020(Concepcion et al , 2021Palconit et al 2021b). The time needed to compute per plant would add up, however, when a large batch size would be analyzed simultaneously.…”

Section: Discussionmentioning

confidence: 99%

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Acquisition of 3D Root System Simulation Parameters Using 2D Extracted Image Data and Genetic Programming

Custodio¹,

Leon²,

Galindo³

et al. 2022

Philipp J Sci

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Root studies like propagation and morphological traits unlock a higher-level understanding of plants to better the growth of agricultural crops and maximize farm yields. As they are located underground, there is an additional challenge in elucidating their structure and behavior. Root imaging allows for real-time observations and there are several known methods. One imaging dataset simulated entire 3D root systems to create 2D images for data analysis and measurements. In this study, the dataset’s extracted measurements will be used to reconstruct the true parameters of the simulated 3D root system through the use of multigene symbolic regression genetic programming (MSRGP). Eleven (11) parameters were selected as the output variables, each for monocot and dicot data for a total of 22 MSRGP models. Among these, thirteen of them showed high R2 values greater than 80%, proving the high accuracy of the MSRGP method. Input variables that were frequently used across multiple models were also noted, such as tip count, exploration ratio, and area. In addition to the accuracy that MSRGP provides in predicting variables, the computation time of these models is found to be as low as a few milliseconds. Once trained, this speed allows the models to be integrated into relevant applications without significant increases in computation cost.

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Section: Introductionmentioning

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Acquisition of 3D Root System Simulation Parameters Using 2D Extracted Image Data and Genetic Programming

Custodio¹,

Leon²,

Galindo³

et al. 2022

Philipp J Sci

View full text Add to dashboard Cite

show abstract

“…Genetic programming, a computational intelligence technique that is based on Charles Darwin's evolutionary concept [39], through MATLAB R2021b GPTIPS v2 tool was employed to develop the fitness model for the five phytomorphological phenotypes as characterized by the potassium chloride concentration ([KCl], mM) and cultivation period (t, DAS) Eq. ( 4) [40,41].…”

Section: Potassium Chloride Phytophysiological Impacts Characterizati...mentioning

confidence: 99%

Differential Effects of Potassium Chloride on Vascular Tissues, Morphological Traits and Germination of Tomato with Sperm Swarm-based Nutrient Optimization

et al. 2022

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Potassium chloride (KCl)-induced stress has been predominantly tested on higher crops such as cotton, rice, and wheat. What open agriculture needs now is the extended understanding of possible contributions and detrimental effects of KCl dynamics to tomato as this is one of the major crops consumed worldwide. In this study, the impacts of KCl on the three Philippine tomato (Solanum lycopersicum) genotypes namely, Perlas, Diamante Max F1, and Mica, in separate mesocosms were visualized and measured based on morphological, vascular tissues, and germination variability responses. Three KCl treatments were deployed, which are control (Tc, 0.05 mM), deficit (Td, 0.025 mM), and excess (Te, 0.5 mM), in 3 replicates. KCl-deficit treatment showed improvement in germination rate and vigor index and deteriorated Timson germination index for tomato seedlings. Excess KCl treatment distinctively promotes a higher root (R) to shoot (S) length ratio for Perlas variant with rusty red-orange root color. R/S length increases from control, deficit to excess KCl and R/S fresh and dry weights quadratically increase from control, excess to deficit KCl. The inconsistency of Td and Te treatments to provide equally productive outcomes across the 3 genotypes on the first 37 days after sowing led to the use of 3 bio-inspired algorithms namely, moth-flame, sperm-swarm, and jellyfish swarm optimizers, in determining the most suitable KCl concentration for growth promotion. Multigene symbolic genetic programming was used in constructing the fitness models of five phytomorphological phenotypes namely, root and shoot lengths and weights and leaf count, as functions of KCl concentration and cultivation period. Light microscopy showed that sperm swarm-optimized KCl (0.038 μM) widens the diameter of xylem and phloem vessels in the vegetative stage which is important as they are responsible for transporting nutrients, water, and photosynthesis by-products. Hence, KCl is an essential micronutrient that could alter the growth of crops. HIGHLIGHTS KCl-deficit treatment showed improvement in germination rate and vigor index and deteriorated Timson germination index for tomato seedlings Excess KCl treatment distinctively promotes a higher root to shoot length ratio for Perlas variant with rusty orange root color Multigene symbolic genetic programming generated the fitness models of phytomorphological phenotypes as functions of KCl concentration and cultivation period Sperm swarm-optimized KCl (0.038 μM) widens the diameter of xylem and phloem vessels in the vegetative stage (up to DAS 37) R/S length increases from control, deficit to excess KCl; R/S fresh and dry weights quadratically increase from control, excess to deficit KCl GRAPHICAL ABSTRACT

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A novel artificial bee colony-optimized visible oblique dipyramid greenness index for vision-based aquaponic lettuce biophysical signatures estimation

Concepcion

Dadios

Sybingco

2023

Information Processing in Agriculture

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FishEye: A Centroid-Based Stereo Vision Fish Tracking Using Multigene Genetic Programming

Cited by 11 publications

References 20 publications

Acquisition of 3D Root System Simulation Parameters Using 2D Extracted Image Data and Genetic Programming

Acquisition of 3D Root System Simulation Parameters Using 2D Extracted Image Data and Genetic Programming

Differential Effects of Potassium Chloride on Vascular Tissues, Morphological Traits and Germination of Tomato with Sperm Swarm-based Nutrient Optimization

A novel artificial bee colony-optimized visible oblique dipyramid greenness index for vision-based aquaponic lettuce biophysical signatures estimation

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