Ahmad Anas Nagoor Gunny
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Preferred name
Ahmad Anas Nagoor Gunny
Official Name
Ahmad Anas, Nagoor Gunny
Alternative Name
Nagoor Gunny, Ahmad Anas
Gunny, A. A.N.
Nagoor Gunny, A. A.
Ahmad Anas, N. G.
Gunny, Ahmad Anas Nagoor
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Scopus Author ID
55940833700
Researcher ID
AFF-6251-2022

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Environmental Lighting towards Growth Effect Monitoring System of Plant Factory using ANN

2025-01-01 , Kader M.M.M.A. , Mansor M.N. , Razali Z.B. , Mustafa W.A. , Ahmad Anas Nagoor Gunny , Setumin S. , Osman M.K. , Idris M. , Akbar M.F. , Farid W.M.F.N.M. , Zainol M.Z. , Mizam N.S.S.

Malaysia is currently driven to become another most developed country in the world. Among other priority sector is Food Sustainability. Along the process, our vegetable supply-demand keeps increasing by year. Compared to traditional systems, closed systems or its other name called hydroponic is getting more important for plant production, with artificial light which has many potential advantages, including better quality transplants, shorter production time and less resource use. To gain full profit from it, the quality of vegetables needs to be controlled efficiently. Climate conditions, especially temperature and light intensity, have a significant impact on vegetable growth and yield, as well as nutritional quality. Plant growth and development are influenced by a variety of environmental factors, the most important one is light intensity. Among the problems to be tackled in this research are plant growth manual observation, light intensity variation and abundance of growth-related data to be evaluated manually. Therefore, to solve these problems, the specific type of vegetable used here is lettuce. The proposed methods are, observation of plant growth conducted automatically round the clock in intervals of 15 minutes for the whole month (estimated mature period of lettuce), using images captured. At the same time, the proposed light intensity which is red & white to the ratio of 2:1 (optimum ratio recommended by previous researchers) will be used. The issue of data to be evaluated manually will be solved using Artificial Neural Network (ANN) architecture, in specific Deep Learning. Concisely, the results & analysis shows the research is successfully developed for plant growth monitoring by using artificial neural network which, reached 80% to 90% accuracy in the training and validation session that made the architecture sufficient for determining the growth of the said vegetable. This is indeed foreseen, will highly assist the farmer in better monitoring the growth rate of the plant.

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Renewable Energy Driven Exhaust Fan for Use in Laboratory via IOT

2021-01-01 , Mohamed Mydin Hj M.Abdul Kader , Wan Azani Wan Mustafa , Zol Bahri Razali , Syahrul Affandi Saidi , Ahmad Anas Nagoor Gunny , Akbar M.F. , Osman M.K. , Setumin S. , Idris M. , Mahendran Gunaseakaran , Nor Syamina Sharifful Mizam

This paper discussed on the hardware product of renewable energy driven exhaust fan for use in laboratory via IOT. Ventilation is generally deployed in buildings for maintaining user's safety and health. This renewable energy driven exhaust fan is the most considered system in improving the energy saving while sustaining user's safety and health. If we can renew and reuse the energy we waste, it would help in some way to the problem of scarcity of energy, which is major threat of present world. Initial capital cost of solar systems is still quite high when it comes to generate power for domestic. By using the concept of wind turbines wind-generated electricity can be used for battery charging and for connection with the power grid. Hence this research proposes a prototype of Renewable Energy Driven Exhaust Fan for use in laboratory via IOT. This research presents a prototype of regenerating power by an exhaust fan. The generated power can be either used directly or can be stored in a battery. This exhaust fan also can be controlled and monitored via IOT. The objectives of this research are, to design and develop an exhaust fan that can be driven by renewable energy, to design and develop an exhaust fan that can be controlled by IoT and to collect data and analyze the power consumptions and power saving. Methods used in this research is to use power from battery to operate the Fan 1. Than this kinetic energy produced by Fan 1 is used to drive Fan 2 and Fan 3 which are now actually a pair of generators with the help of charging circuit to directly recharge the battery which at first used to power up Fan 1. Analysis is then carried out to evaluate the theory, which actually agreed to the initial theory as presented

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Development of a Multi-Fan System (MFS) in a Plant Factory with Artificial Light

2022-01-01 , Mohamed Mydin Hj M.Abdul Kader , Zol Bahri Razali , Wan Azani Wan Mustafa , Muhammad Naufal Mansor , Ahmad Anas Nagoor Gunny , Akbar M.F. , Osman M.K. , Setumin S. , Idris M. , Bin Ramli M.A. , Sharifful Mizam N.S.

A plant factory is a factory that grows plants indoors. These indoor farms could be the key to solve food shortages in the world. Plant factories are operated in indoor spaces under controlled cultivation conditions such as light, temperature and humidity. Then, a multi-fan system (MFS) for single culture beds. The MFS had four fans which were installed on both the front and back sides of culture beds to generate airflow from two opposite horizontal directions by using the Internet of Things (IoT) via the access and connection of smartphone devices. The fans that push the air into the culture bed were air inlets while those that pull the air out of the culture bed were air outlets. The main problem is in plant factories with artificial light, a heat that is usually used to control the environmental parameters and the air velocity is generally lower than the optimum range required for plant growth. Compare to a plant factory without using a multi-fan, it no circulation of air in the container to ensure continuous gas exchange. This reduction in gas exchange can impact calcium uptake by the plants. The gas exchange makes the tip burn. Tip burn can have a significant impact on the salability of a lettuce crop. Based on the limitations that have been highlighted previously, this research has been carried out by using multi-fan and without multi-fan. To get the data that need to be compared. Then, to improve the airflow in a plant factory with artificial light and prevent tip burn occur on the lettuce itself. In a nutshell, this prototype is expected to help plant factories reduce tip burn symptoms on leaf lettuce and the airflow can improve the growth of indoor cultured lettuce.

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Automotive Mechanical Vehicle Starter

2021-12-01 , Mohamed Mydin Hj M.Abdul Kader , Zol Bahri Razali , Wan Azani Wan Mustafa , Syahrul Affandi Saidi , Ahmad Anas Nagoor Gunny , Setumin S. , Osman M.K. , Idris M. , Akbar M.F. , Muhammad Anas Ahmad Sarbini , Nor Syamina Sharifful Mizam

This research is used to crank start automotive vehicle. There are many different system used in order to start-up vehicles using electric starter, in the time of battery low-power or totally drained. The purpose of this research is to help the driver to get out of this difficulty. Nowadays there are many people that have experienced such a bad moment, where they are stranded at road side due to malfunction starter in their car because of battery problem. Most of the vehicle electric starter failure is because of battery corrosion or battery undercharged. The importance of this research is to solve this problem. Starter is a vital part of the vehicle, without it no automotive vehicles able to operate. These starters will rotate an internal-combustion engine to initiate the engine's operation under its own power. Starters also can be malfunction too due to corroded electrical connections or an undercharged battery. This system can be used to solve this problem. This system used human energy by using mechanical parts in order to produce electrical power. In order to produce electrical current, workforce will be applied by rotating the wheel that already linked by belt and from that rotations will trigger a magnetic force and it will produce an electrical current and supply it into battery. This system is divided into two development; hardware development and software development. The hardware development involved, mechanical device which is used and electrical device such as monitor. For software development, Fritzing is used to construct circuit.

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