Search Results - (( optimal ((crops algorithm) OR (growth algorithm)) ) OR ( optical code algorithm ))

Weeds detection for agriculture using Convolutional Neural Network (CNN) algorithm / Khairun Nisa Mohammad Nasir by Mohammad Nasir, Khairun Nisa

“…Modern agriculture recognizes weed detection systems as crucial tools to reduce the obstacles caused by weeds, enhancing crop growth and yield. This project aims to develop a weed detection prototype specifically for agricultural settings by utilizing Convolutional Neural Networks (CNN) algorithm. …”
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Smart agriculture: precision farming through sensor-based crop monitoring and control system by Mohamad Hakhrani, Asyful Azhim, Abdul Hamid, Syamsul Bahrin

“…Subsequently, four distinct algorithms are trained with the collected dataset to ascertain the most optimal algorithm for predicting crop growth and harvesting time, resulting in the selection of the Random Forest Regression model, which attains the highest model score of 86%. …”
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

“…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
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IOT-based fertigation system / Mohamad Amir Furqan Darus by Darus, Mohamad Amir Furqan

“…Decision-making algorithms consider factors such as plant type, growth stage, soil composition, and environmental conditions. …”
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic by Nur Ainin Sofiya, Abu Kasim

“…Through its autonomous actuation of the water pump and ventilation system, the system reduces manual intervention and ensures that plants receive optimal growing conditions. The results of this study indicate improved plant growth, enhanced crop yield, and reduced labor efforts for greenhouse cultivation. …”
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Reservoir system modelling using nondominated sorting genetic algorithm in the framework of climate change by Nurul Nadrah Aqilah, Tukimat

“…The models are Nondominated Sorting Genetic Algorithm type II (NSGA-II), Linear Programming (LP), Statistical Downscaling Model (SDSM) with Multi-linear Correlation Matrix (M-CM), hydrological and crop models. …”
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Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review by Sulaiman, Ahmad S. S., Wayayok, Aimrun, Aziz, Samsuzana A., Yun, Wong Mui, Leifeng, Guo

“…This paper presents a review on algorithm development and crop water modelling with a focus on optimizing significant parameters related to crop factors, soil factors, and weather factors. …”
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Precision agriculture for corn using reinforcement learning by Tan, Carlton

“…Beyond data access, RACKY incorporates a sophisticated reinforcement learning agent based on the Proximal Policy Optimization (PPO) algorithm within the SWATGym. This integration empowers users with the capability to input location-specific data alongside plant growth stage parameters, thereby obtaining highly optimized recommendations for fertilizer and irrigation amounts directly from the embedded AI model. …”
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Design, analysis and fabrication of automatic plant watering system by Donny Osmond, Oxana Sumba

“…The Automatic Plant Watering System is a crucial innovation in the field of agriculture, aiming to alleviate the challenges associated with manual watering and ensure the optimal growth of plants. In this era of increasing population and limited resources, efficient irrigation systems are necessary to conserve water and enhance crop productivity. …”
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Precision agriculture for corn using reinforcement learning by Tan, Carlton

“…Beyond data access, RACKY incorporates a sophisticated reinforcement learning agent based on the Proximal Policy Optimization (PPO) algorithm within the SWATGym. This integration empowers users with the capability to input location-specific data alongside plant growth stage parameters, thereby obtaining highly optimized recommendations for fertilizer and irrigation amounts directly from the embedded AI model. …”
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Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem by Jarin, Sams, Khatun, Mst Khaleda, Shafie, Amir Akramin

“…Crop planning problem is a multi-objective optimization problem. …”
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The Half-t adaptive error correction algorithm for SDH-based WDM optical networks by Cheah, Cheng Lai, Abdullah, Mohamad Khazani

“…This paper proposes an adaptive forward error correction (FEC) algorithm, referred to as the Half-t algorithm for synchronous digital hierarchy (SDH) based wavelength division multiplexing (WDM) optical networks. …”
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Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Ahmad Anas, Siti Barirah, Seyedzadeh, Saleh, Mokhtar, Makhfudzah, Sahbudin, Ratna Kalos Zakiah

“…This paper proposes a coding algorithm to support optical domain service differentiation using spectral amplitude coding techniques within an optical code division multiple access (OCDMA) scenario. …”
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Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Anas, S.B.A., Seyedzadeh, S., Mokhtar, M., Sahbudin, R.K.Z.

“…This paper proposes a coding algorithm to support optical domain service differentiation using spectral amplitude coding techniques within an optical code division multiple access (OCDMA) scenario. …”
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Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

“…Splitting algorithm is proposed to construct the new code families namely RD code. …”
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Optimizing fertilizer compounds for pineapple production using the goal programming approach / Farzana Mohd Ezan … [et al.] by Mohd Ezan, Farzana, Shafii, Nur Hanani, Juani, Nurfatihah, Latif, Busyra

“…The aim of this research is to reduce the overall fertilizer expense in pineapple plantation and reduce nitrogen-phosphorus-potassium (NPK) fertilizer’s utilization (upper and lower limits) via the Goal Programming (GP) algorithm. The study focuses only on cultivation of one type of crop which is pineapples. …”
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The development of robust and fast response control algorithm for UAV crop duster by Abas, M. F., Ahmad, Hamzah, Saad, N. Md, Pebrianti, Dwi, Mohd Rizal, Arshad

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Reliable low power network protocol in IoT for agriculture field by Wong, Christopher Jin Soon

“…Agriculture is one sector which makes use of IoT sensor networks for collecting data on the growing environment of crops for farmers to perform adjustments for optimal crop growth. …”
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Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models: Predicting crop yields using a new robust Bayesian averaging model by Bazrafshan O., Ehteram M., Dashti Latif S., Feng Huang Y., Yenn Teo F., Najah Ahmed A., El-Shafie A.

“…Bayesian networks; Climate models; Crops; Decision making; Food supply; Forecasting; Fruits; Fuzzy inference; Uncertainty analysis; Wind; Adaptive neuro-fuzzy; Adaptive neuro-fuzzy interface system; Bayesian model averaging; Climate parameters; Crop yield; Firefly algorithms; Fuzzy interface systems; Multilayers perceptrons; Optimization algorithms; System layer; Particle swarm optimization (PSO)…”

An Adaptive Error Correction Scheme For Synchronous Digital Hierarchy-Based Wavelength Division Multiplexed Optical Network by Cheah, Cheng Lai

“…The existing FEC techniques for optical communications are based on fixed codes, which consume unnecessary overhead bandwidth even when there are no errors. …”
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