Enhancing resilience in agricultural production systems with AI-based technologies

Usigbe, Member Joy; Asem-Hiablie, Senorpe; Uyeh, Daniel Dooyum; Iyiola, Olayinka; Park, Tusan; Mallipeddi, Rammohan

doi:10.1007/s10668-023-03588-0

Cited by 12 publications

(3 citation statements)

References 104 publications

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“…The analysis of Hypothesis 3a demonstrates a positive influence of infrastructure on internal GAI agility. This finding resonates with recent research, which emphasizes the importance of robust infrastructure in supporting and enhancing the efficiency of AI systems within organizations [15][45] [46]. A well-developed infrastructure, particularly tailored to support GAI, facilitates smoother integration and more effective utilization of AI technologies, thereby significantly boosting internal agility.…”

Section: Discussionsupporting

confidence: 82%

Assessing the Impact of Generative Artificial Intelligence on Customer Engagement in Business-to-Customer Scenarios

Kim,

Choi

2024

APJCRI

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In the rapidly evolving field of artificial intelligence (AI), Generative AI (GAI) has become a crucial driver for enhancing organizational agility and operational efficiency. This study explores the complex interplay between awareness, digital technology adoption, and infrastructure, and their collective influence on both internal and external GAI agility and customer engagement. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM), the research analyzed data from 217 participants across diverse industries, including manufacturing, construction, information and communications, retail, law, medical and health services, education, and services. The results revealed that both awareness and infrastructure play a crucial role in boosting internal agility within GAI systems, signifying that a deep understanding and a robust setup are key drivers for effective internal AI operations. Interestingly, when combined with digital technology adoption, these factors also positively influenced external GAI agility, indicating that embracing new technologies enhances an organization's adaptability in external interactions. However, digital technology adoption alone did not significantly alter internal GAI agility, suggesting that other elements might be at play in the internal dynamics of GAI. Furthermore, internal GAI agility appeared to have only a modest effect on enhancing customer engagement, highlighting a potential gap between internal AI efficiencies and tangible customer-facing outcomes. These insights are critical in understanding the determinants of GAI agility and its role in improving customer engagement across various sectors. The study offers valuable contributions to the theoretical and practical understanding of GAI, emphasizing the importance of strategic awareness, technology adoption, and infrastructure development in leveraging GAI's benefits in diverse business environments.

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Section: Discussionsupporting

confidence: 82%

Assessing the Impact of Generative Artificial Intelligence on Customer Engagement in Business-to-Customer Scenarios

Kim,

Choi

2024

APJCRI

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“…The extensive application of chemical fertilizers and pesticides has led to a decrease in soil fertility, a reduction in soil biota, and the development of resistant pathogens [1]. Consequently, there has been a growing trend in agricultural practices of increasing reliance on biological agents [2]. These agents involve the use of microorganisms or their metabolites to protect seeds, enhance germination, promote plant growth, and effectively manage various pathogens and pests [3,4].…”

Section: Introductionmentioning

confidence: 99%

Spectroscopic Investigation of Tomato Seed Germination Stimulated by Trichoderma spp.

Vukelić,

Radić,

Pećinar

et al. 2024

Biology

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Seed germination is a complex process that can be negatively affected by numerous stresses. Trichoderma spp. are known as effective biocontrol agents as well as plant growth and germination stimulators. However, understanding of the early interactions between seeds and Trichoderma spp. remains limited. In the present paper, Fourier-transform infrared spectroscopy (FTIR) and Raman spectroscopy were used to reveal the nature of tomato seed germination as stimulated by Trichoderma. A rapid response of tomato seeds to Trichoderma spp. was observed within 48 h on Murashige and Skoog medium (MS) substrate, preceding any physical contact. Raman analysis indicated that both Trichoderma species stimulated phenolic compound synthesis by triggering plant-specific responses in seed radicles. The impact of T. harzianum and T. brevicompactum on two tomato cultivars resulted in alterations to the middle lamella pectin, cellulose, and xyloglucan in the primary cell wall. The Raman spectra indicated increased xylan content in NA with T9 treatment as well as increased hemicelluloses in GZ with T4 treatment. Moreover, T4 treatment resulted in elevated conjugated aldehydes in lignin in GZ, whereas the trend was reversed in NA. Additionally, FTIR analysis revealed significant changes in total protein levels in Trichoderma spp.-treated tomato seed radicles, with simultaneous decreases in pectin and/or xyloglucan. Our results indicate that two complementary spectroscopic methods, FTIR and Raman spectroscopy, can give valuable information on rapid changes in the plant cell wall structure of tomato radicles during germination stimulated by Trichoderma spp.

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“…In addition, AI-based technologies can enhance crop management techniques, reduce resource waste and lessen hazards associated with climate change. By assisting in the improvement of predictive skills, process optimization and overall efficiency, AI-based solutions might strengthen the robustness of agricultural production systems(Usigbe et al, 2023). As suggested inAbbasi and Choukolaei (2023), integrating suitable CSA technologies into agricultural production systems and supply chains could result in a significant reduction in carbon emissions and present…”

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confidence: 99%

The role of agri‐food 4.0 in climate‐smart farming for controlling climate change‐related risks: A business perspective analysis

Kazancoglu,

Lafci,

Kumar

et al. 2023

Bus Strat Env

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The impact of climate change, including fires, droughts and storms, on natural resources and agricultural output is increasing. In addition to these problems, resource depletion and greenhouse gas (GHG) emissions, agriculture also contributes to global warming. To reduce the dangers of climate change, farmers are using sustainable practices. This article aims to link agri‐food 4.0 technology with climate‐smart agriculture (CSA) to lessen the two‐way interaction (both affecting and impacted) between the agricultural sector and global warming, as well as dangers related to the agri‐food business. In light of this information, the research methodology of the paper is twofold. Initially, related risks towards climate change and the CSA and agri‐food 4.0 technologies to overcome these risks were determined through a literature review. Then, risks and technologies are evaluated by adopting the TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making), which is used for evaluating the criteria set with the related technologies to overcome climate change‐related risks and provide a guiding map for academics and practitioners to eliminate risks associated with these climate change‐related factors. According to the study's findings, the highest‐priority concerns in the agri‐food industries that are connected to climate change include energy consumption, food safety and GHG emissions. Internet of Things (IoT), bio‐innovation and artificial intelligence are thought to be the most promising technological solutions to address these problems.

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Enhancing resilience in agricultural production systems with AI-based technologies

Cited by 12 publications

References 104 publications

Assessing the Impact of Generative Artificial Intelligence on Customer Engagement in Business-to-Customer Scenarios

Assessing the Impact of Generative Artificial Intelligence on Customer Engagement in Business-to-Customer Scenarios

Spectroscopic Investigation of Tomato Seed Germination Stimulated by Trichoderma spp.

The role of agri‐food 4.0 in climate‐smart farming for controlling climate change‐related risks: A business perspective analysis

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