Adeyemi Adegoke Adeleke

Dr. Adeyemi Adegoke Adeleke

Texas A&M University, College Station, Texas, USA
+2
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2024 in Technology in Agronomy
Verified
Journal Article
Open access
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AAAdeyemi Adegoke Adeleke
Adeyemi Adegoke Adeleke
Cotton is the most ubiquitous and profitable fiber with diverse industrial and domestic applications. Grown in over 100 countries, it has a global market value of about USD${\$} $40 billion and employs over 350 million people from fields to textile mills, contributing about 7% of total labor-force recruitment in developing economies. Cotton has an indeterminate growth habit and an extensive tap root system affected by soil physicochemical and environmental conditions. There is a consensus among experts that conventional cotton cultivation still has a long way to go to attain sustainability, which is essential if cotton is to maintain its competitive edge over other natural and synthetic fibers like hemp, polyesters, and rayon. Despite several efforts already committed to growing cotton sustainably, sustainability has eluded cotton cultivation globally because of the intense farm input needs (freshwater, pesticides, and heavy-duty equipment), especially in developing economies. Some of the technological advancements towards achieving the goal of sustainable cotton cultivation include the development of new varieties, improved irrigation and mulching and precision agriculture techniques, application of remote sensing and Unmanned Aerial Systems (UAS) combined with image processing, and the introduction of autonomous and multi-purpose robotic platforms for growing and harvesting cotton. This review attempts to evaluate the successes already achieved by stakeholders in moving cotton towards sustainable production and identify areas where efforts are still needed to reach sustainable production and improved profitability goals for cotton with projections for future research directions.

24 January 2023 in Agriengineering
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Journal Article
Open access
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AAAdeyemi Adegoke Adeleke
Adeyemi Adegoke Adeleke
Plastic contamination is a burning issue costing the global cotton and textile industries billions of dollars annually. Any time plastics from different sources end up in a cotton lint bale, the value to the textile mills plummets significantly. Various industry players have therefore made a concerted effort to find lasting solutions to the menace posed by plastic to cotton profitability and sustainability. Nevertheless, until now, there have been no up-to-date comprehensive documents detailing the numerous and ever-growing efforts committed to solving this challenge. Therefore, this article provides a detailed yet compact review of this highly dynamic subject matter. First, it puts into perspective plastic contamination in the cotton and textile industries. Then, the cotton value chain is subdivided into phases from pre-cultivation to textile mills. The root causes of plastic contamination are discussed in each stage, followed by discussions of some already developed and emerging solutions in response to the challenge by the affected industries and researchers. Concluding from the author’s perspective, the paper makes projections for the future directions of plastic mitigation efforts within the cotton and textile industries. This article also infers from the reviewed literature that research on finding alternative materials to plastic as module wrap, the development of new, effective, and all-condition plastic sensing techniques for ginning and spinning equipment, and standardized protocols for UAV in-field surveys of plastic trash are some of the areas that will be beneficial to finding a permanent solution to the challenge.
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23 February 2024 in Preprints.org
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Preprint
Open access
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AAAdeyemi Adegoke Adeleke
Adeyemi Adegoke Adeleke
Cotton is the most ubiquitous and profitable fiber with diverse industrial and domestic applications. Grown in over 100 countries, it has a global market value of about $40 billion and employs over 350 million people from fields to textile mills, contributing about 7% of total labor-force recruitment in developing economies. Cotton has an indeterminate growth habit and an extensive tap root system affected by soil physicochemical and environmental conditions. There is a consensus among experts that conventional cotton cultivation still has a long way to attain sustainability, which is essential if cotton will maintain its competitive edge over other natural and synthetic fibers like hemp, polyesters, and rayon. Despite several efforts already committed to growing cotton sustainably, sustainability has eluded cotton cultivation globally because of the intense farm inputs (freshwater, pesticides, and heavy-duty equipment) needs, especially in developing economies. Some of the technological advancements towards achieving the goal of sustainable cotton cultivation include the development of new varieties, improved irrigation and mulching and precision agriculture techniques, application of remote sensing and Unmanned Aerial Systems (UAS) combined with image processing, and the introduction of autonomous and multi-purpose robotic platforms for growing and harvesting cotton. This review attempts to evaluate the successes already achieved by stakeholders in moving cotton towards sustainable production and identify areas where efforts are still needed to reach sustainable production and improved profitability goals for cotton with projections for future research directions.

19 January 2023 in Preprints.org
Verified
Preprint
Open access
PDF file
AAAdeyemi Adegoke Adeleke
Adeyemi Adegoke Adeleke
Plastic contamination is a burning issue costing the global cotton and textile industries billions of dollars annually. Any time plastics from different sources end up in a cotton lint bale, the value to the textile mills plummets significantly. Various industry players have therefore made a concerted effort to find lasting solutions to the menace posed by plastic to cotton profitability and sustainability. Nevertheless, until now, there have been no up-to-date comprehensive documents detailing the numerous and ever-growing efforts committed to solving this challenge. Therefore, this article provides a detailed yet compact review of this highly dynamic subject matter. First, it puts into perspective plastic contamination in the cotton and textile industries. Then, the cotton value chain is subdivided into phases from pre-cultivation to textile mills. The root causes of plastic contamination are discussed in each stage, followed by discussions of some already developed and emerging solutions in response to the challenge by the affected industries and researchers. Concluding from the author’s perspective, the paper makes projections for the future directions of plastic mitigation efforts within the cotton and textile industries. This article also infers from the reviewed literature that research on finding alternative materials to plastic as module wrap, the development of new, effective, and all-condition plastic sensing techniques for ginning and spinning equipment, and standardized protocols for UAV in-field surveys of plastic trash are some of the areas that will be beneficial to finding a permanent solution to the challenge.

1 November 2017
Verified
Conference Paper
Closed access
AAAdeyemi Adegoke Adeleke
Adeyemi Adegoke Adeleke
Jouni MattilaJouni Mattila
Jouni Mattila
In addition to the inherent strong nonlinearities associated with hydraulic systems, the use of mechanical drives (gears) in hydraulic applications (e.g., in hydraulic rotary actuators) introduces additional nonlinearities in the form of backlash. Thus, confronting these traditional hydraulic non-linearities as well as the non-smooth backlash nonlinearity requires special considerations. This work designs a virtual decomposition control (VDC) controller, a subsytems-based nonlinear model-based controller, to combat the heavy hydraulic non-linearities in a hydraulic manipulator and effectively control it. For the first time, a VDC controller is designed to compensate for a non-smooth nonlinearity (backlash), which has never been modelled in the dynamic equations of all existing VDC works. While it is not presented herein, stability of the resulting controller can be mathematically proven based on the L 2 and L ∞ Lebesgue spaces. Obtained experimental results indicated the capability of the combined VDC algorithm and the adaptive backlash inverse scheme improves system's position tracking performance compared to traditional Proportional-Integral-Derivative (PID) controller.

1 July 2025
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Preprint
Open access
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AAAdeyemi Adegoke Adeleke
Adeyemi Adegoke Adeleke
PEER-REVIEW SUBMISSION SUMMARY OF THE ARTICLE The manuscript titled _“Modelling of Quadcopter for Precision Agriculture and Surveillance Purposes”_ presents the development and simulation of a mathematical model for a 7 kg quadcopter with spraying...