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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli by Mohd Ramli, Mohamad Amirul Asyraf

“…Detecting healthy crops using Python in the context of an analysis project has emerged as an approach that speeds up a process to find out the current state of crops. …”
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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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Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi by Mohd Radzi, Nur Izzah Naimi

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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

“…Consequently, this project endeavours to develop a system that seamlessly integrates both IoT and machine learning components, culminating in an advanced system capable of real-time crop monitoring and growth prediction. …”
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Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

“…This project is developed to train the computer programs to recognize objects in the pictures. …”
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Development Of Artificial Intelligence (Ai) For Image Processing And Conceptual Distance Computation From Camera For Pick And Place Of Oil Palm Fresh Fruit Bunch (Ffb) by Saifuddin, Siti Adawiyyah Siddiqa

“…Therefore, the idea of this project is to create a system for a machine to pick and place the crops using an automated bot mounted at the truck with the aid of live feed camera. …”
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Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir by Mohamad Nasir, Iffah Fatinah

“…To address this issue, a corn leaf disease detection system capable of recognizing and classifying corn diseases is essential for early detection and intervention. The purpose of this project is to develop a mobile application for corn leaf disease detection leveraging the YOLOv8 (You Only Look Once version 8) object detection algorithm. …”
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DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

“…The project will implement automated detection and disease management recommendation algorithms while evaluating the functionality and usability of the designed application. …”
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Design, analysis and fabrication of automatic plant watering system by Donny Osmond, Oxana Sumba

“…The main objective of this final year project is to design and implement an Automatic Plant Watering System that utilizes sensor technology and intelligent control algorithms to maintain the ideal moisture levels in the soil. …”
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Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm by NGU, SU HANG

“…The detection algorithm will be develop based on a modified AlexNet model. …”
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Development of image recognition system for steel defects detection by Chen, Wai Yang

“…For the rusting detection algorithm, a deep learning model, Single Shot Detector (SSD), was trained to detect and crop the hot rolled steel from the input image for colour detection. …”
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

“…Therefore, monitoring of crop development and of crop growth, and early yield prediction is very crucial. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

AUTOMATED PLANT DISEASE DETECTION USING DEEP LEARNING ON MOBILE PLATFORM by Vera Ruth, Rewcastle

“…This would be difficult and costly for farmers to employ a professional horticulturist or rely on knowledge gained through experience. Therefore, this project aims at developing a mobile applicatiJ:;m which is equipped with deep learning algorithm to enable the detection and identification of a disease for a particular plant. …”
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic by Nur Ainin Sofiya, Abu Kasim

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Plant disease detection using deep learning by Cheng, Jung Yin

“…The success of deep learning (DL) has greatly promoted the use of computer vision technology in smart agriculture. Many developments in this area are focusing on timely and accurate recognition of plant disease, with the goals of increasing crop productivity and fostering economic growth. …”
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A study of watermarking methods in medical application by Ng, Lee Ping

“…Attacks applied in this project are salt & pepper noise with 0.0001 noise density, median filtering, JPEG compression with index 100 and index 75, cropping and rotation. …”
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Customer analysis with machine vision by Tiong, Wei Jie

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