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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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An intelligent system based on kernel methods for crop yield prediction by Majid Awan, A., Md. Sap, Mohd. Noor

“…This paper presents work on developing a software system for predicting crop yield from climate and plantation data. …”
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A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

“…Then, the developed algorithm is implemented to estimate the parameters of the Lorenz system. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models by Hilal, Yousif Yakoub

“…For many years, the Malaysian oil palm industry has been facing the challenge of reduced rate of palm oil yield due to sizeable difference between the crop’s actual yield and the crop’s genetic yield potential. …”
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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

“…Integrating SSA and SVM machine learning algorithms improves decision-making processes, leading to better crop yield through early detection and timely nutrient management. …”
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

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Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir by Mohamad Nasir, Iffah Fatinah

“…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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Evaluation tool of land suitability for medicinal plants by Rahim, Supli Effendi, Supli, Ahmad Affandi, Damiri, Nurhayati, Zaman, Chairil, Husin, Husin

“…Data of agro climatic that were determining the suitability of the crops were developed into general and specific criteria for the plants. …”
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Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield. by Md. Sap, Mohd. Noor, Awan, A. Majid

“…This paper presents our work on developing an intelligent system for predicting crop yield, for example oil-palm yield, from climate and plantation data. …”
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DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

“…During the application's development, a wide literature review was conducted, users were interviewed and surveyed, and the developed application was iteratively built and redesigned. …”
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A framework for predicting oil-palm yield from climate data by Awan, A. Majid, Md. Sap, Mohd. Noor

“…This paper presents work on developing a software system for predicting crop yield, for example oil-palm yield, from climate and plantation data. …”
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic by Nur Ainin Sofiya, Abu Kasim

“…It employs fuzzy logic algorithms to continuously assess and adjust environmental factors. …”
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Development of track-driven agriculture robot with terrain classification functionality / Khairul Azmi Mahadhir by Mahadhir, Khairul Azmi

“…In this work, an agricultural robot is embedded with machine learning algorithm based on Support Vector Machine (SVM). The aim is to evaluate the effectiveness of the Support Vector Machine in recognizing different terrain conditions in an agriculture field. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…We started this study by developing a diagnosis system. Five feature extraction methods were developed with curvelet and wavelet coefficients to differentiate between different breast cancer classes. …”
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Optimization of energy inputs and greenhouse gas emissions of wetland rice cultivation in Malaysia by Elsoragaby, Suha Gaafar Babekir

“…Ideally, significant increase in the local rice production could be made possible with increasing crop yield within the available crop planted areas through the optimum used of crop inputs to reduce the involved total production cost. …”
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Detection and Measurement System for Button Mushrooms Using Convolutional Neural Network by Yong, Lio Wei, Ambar, Radzi, Abd Wahab, Mohd Helmy, Abd Jamil, Muhammad Mahadi, Choon, Chew Chang

“…Monitoring mushroom growth requires farmers to regularly inspect their crops, which is timeconsuming and inefficient. Hence, an automated detection and measurement system for button mushrooms has been developed using image processing techniques based on convolutional neural network (CNN) algorithm model known as YOLOv4. …”
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Simulation software and virtual environments for acceleration of agricultural robotics: features highlights and performance comparison by Ramin, Shamshiri, A. Hameed, Ibrahim, Pitonakova, Lenka, Weltzien, Cornelia, Balasundram, Siva Kumar, Yule, Ian J., Grift, Tony E., Chowdhary, Girish

“…Research efforts for development of agricultural robots that can effectively perform tedious field tasks have grown significantly in the past decade. …”
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Handbook of research on smart computing for renewable energy and agro-engineering by Kharchenko, V., Vasant, P.

“…While existing technologies may help in crop processing, there is a need for studies that seek to understand how modern approaches like artificial intelligence, fuzzy logic, and hybrid algorithms can aid the agricultural process while utilizing energy sources efficiently. …”
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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

“…ET0 is a value which can be converted to the actual crop ET (ETc) with the inclusion of a crop-dependent factor. …”
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Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm by Muhammad Yusuf, Akmal Alif

“…The contribution of this study is to produce Canopy Height Mapping (CHM) from difference multitemporal UAV data and characterization of mango tree develop using OBIA algorithm to monitoring development Harum Manis Tree. …”
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