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

Concepcion, Ronnie; Dadios, Elmer P.; Sybingco, Edwin

doi:10.1016/j.inpa.2022.03.002

Cited by 6 publications

(1 citation statement)

References 24 publications

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“…Augustus and Domingo (2023) tested a nano nitrogen-phosphorus-potassium fertilizer called FertiGroTM on banana plants over12 weeks. They found that soil application of the nano fertilizer led to signi cantly better plant growth and development compared to foliar spray application.…”

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Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions

Taer,

Taer

2024

Preprint

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This systematic review analyzed agricultural innovations in the Philippines over 2018–2023 to provide comprehensive categorization, adoption trend analysis, and recommendations for optimizing research priorities. Methodical literature search, screening, and quantitative analysis facilitated organized investigation across innovation types, contributors, applications, and geographical contexts. Results revealed image analysis followed by the sustainable farming system had the highest segment (26% and 23%, respectively) of the innovation categories displaying cutting-edge techniques as well as environmental stewardship. Rice-centric innovations dominate (33.33%) showcasing the underrepresentation of high-value crops, livestock, and remote farming sectors. However, innovations have skewed geographical representation with 69.23% of studies concentrating only on Luzon regions, chiefly central and northern areas. Agricultural potential also exists across Visayas and Mindanao warranting increased emphasis. Additionally, most research contributors represent less than 5% share each, indicating a fragmentation in efforts lacking cross-institutional partnerships. Findings exposed critical gaps in innovation prioritization and adoption levels directed at sustainable practices, precision technologies, non-cereal commodities, and geographically disadvantaged communities. Significant institutional support is imperative to address disparities through modernization policies and localized capacity-building programs aided by industry-academia partnerships. Unified innovation transfer conduits can accelerate the transition of solutions from proofs-of-concept to farmer-ready tools catering to regional needs.

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confidence: 99%

Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions

Taer,

Taer

2024

Preprint

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Applications, technologies, and evaluation methods in smart aquaponics: a systematic literature review

Anila,

Daramola

2024

Artif Intell Rev

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Smart aquaponics systems are gaining popularity as they contribute immensely to sustainable food production. These systems enhance traditional farming with advanced technologies like the Internet of Things (IoT), solar energy, and Artificial Intelligence (AI) for increased proficiency and productivity. However, assessing the performance and effectiveness of these systems is challenging. A systematic literature review (SLR) was conducted to examine the applications, technologies, and evaluation methods used in smart aquaponics. The study sourced peer-reviewed publications from IEEE Xplore, Scopus, SpringerLink and Science Direct. After applying inclusion and exclusion criteria, a total of 105 primary studies were selected for the SLR. The findings show that aquaponics predictions (27%) have been under-explored compared to applications that involved monitoring or monitoring and controlling aquaponics (73%). IoT technologies have been used to create prototype aquaponic systems and collect data, while machine learning/deep learning (predictive analytics) are used for prediction, abnormality detection, and intelligent decision-making. So far, predictive analytics solutions for aquaponics yield prediction, return-on-investment (ROI) estimates, resource optimisation, product marketing, security of aquaponics systems, and sustainability assessment have received very little attention. Also, few studies (37.7%) incorporated any form of evaluation of the proposed solutions, while expert feedback and usability evaluation, which involved stakeholders and end-users of aquaponics solutions, have been rarely used for their assessment. In addition, existing smart aquaponics studies have limitations in terms of their short-term focus (monitoring and controlling of aquaponics not undertaken over a long time to assess performance and sustainability), being conducted mostly in controlled settings (which limits applicability to diverse conditions), and being focused on specific geographical contexts(which limits their generalizability). These limitations provide opportunities for future research. Generally, this study provides new insights and expands discussion on the topic of smart aquaponics.

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Cultivating Tomorrow: A Comprehensive Review of Agricultural Innovations in the Philippines (2018–2023)

Taer,

Taer

2024

Agric Res

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

Cited by 6 publications

References 24 publications

Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions

Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions

Applications, technologies, and evaluation methods in smart aquaponics: a systematic literature review

Cultivating Tomorrow: A Comprehensive Review of Agricultural Innovations in the Philippines (2018–2023)

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