Search Results - (( java implication based algorithm ) OR ( using practical crops algorithm ))

A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

“…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algorithms to create a digital twin for farmers to augment the concentration and composition prediction-based crop nutrient recovery. …”
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A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

“…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and re-gression algorithms to create a digital twin for farmers to augment the concentration and compo-sition prediction-based crop nutrient recovery. …”
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Weeds detection for agriculture using Convolutional Neural Network (CNN) algorithm / Khairun Nisa Mohammad Nasir by Mohammad Nasir, Khairun Nisa

“…As a result, this study has achieved 89.82% from the 80-20 split using CNN algorithm with an F1 score of 88.08%. The research then goes on to assess how well the CNN model generalizes to various agricultural environments that support multiple crop situations. …”
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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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Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development by Kehinde, Okewu, Emmanuel, Okewu, Wong, Ling Shing, Siti Sarah, Maidin

“…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
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GIS-Enhanced Crop Yield Modeling with Machine Learning by Venkatesh, S.D., Chitra, K., Harilakshami, V.M.

“…To address these issues, we have developed a system using machine learning algorithms aimed at helping farmers. …”
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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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Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

“…Second task is to determine the fitness function for the genetic algorithms. The third objective is to optimize the land use map using economic benefits. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

“…The mobile app will do early and accurate diagnosis of the diseases and suggestion of management practices which, in turn, can help to reduce the loss of farmers and ensure increased crop production using a limited resource with minimum loss to the farmers. …”
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic by Nur Ainin Sofiya, Abu Kasim

“…The findings highlight the efficacy of the proposed system in providing efficient and automated monitoring for greenhouse environments, fostering improved cultivation practices, and maximizing crop yields.…”
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Design, analysis and fabrication of automatic plant watering system by Donny Osmond, Oxana Sumba

“…In this era of increasing population and limited resources, efficient irrigation systems are necessary to conserve water and enhance crop productivity. The existing conventional methods of plant watering are labour- intensive and prone to human error, leading to inefficient use of water and inadequate hydration for plants. …”
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Groundwater level prediction using machine learning algorithms in a drought-prone area by Pham Q.B., Kumar M., Di Nunno F., Elbeltagi A., Granata F., Islam A.R.M.T., Talukdar S., Nguyen X.C., Ahmed A.N., Anh D.T.

Evaluation of quality attributes and milling metrics of glutinous rice stored under different storage conditions using infrared thermal imaging by Dasore, Abhishek, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Mohd Ali, Maimunah, Ageh, Opeyemi Michael

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Advancing agricultural time-series data analysis with a new preprocessing method by Nor Azhar, Ahmad, Mohamed Ariff, Ameedeen, Syafiq Fauzi, Kamarulzaman

“…Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to test accuracy, the Seasonality Index (SI) and period-Autocorrelation (AC) are used to measure integrity, and processing time and memory footprints that fit within farm-node limits are used to measure feasibility. …”
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Data-driven rice yield predictions and prescriptive analytics for sustainable agriculture in Malaysia by Marong, Muhammad, Husin, Nor Azura, Zolkepli, Maslina, Affendey, Lilly Suriani

“…Utilizing machine learning algorithms as decision-support tools, the study analyses commonly used models—Linear Regression, Support Vector Machines, Random Forest, and Artificial Neural Networks—alongside key environmental factors such as temperature, rainfall, and historical yield data. …”
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Decision support system for optimal design and operation of ponds for watershed runoff management by Al-Ansi, Abdulwahab Mujahed Hasan

“…Model performance was checked using both graphical and statistical indicators. …”
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