Search Results - optimal crops algorithm
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Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
Published 2024“…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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Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem
Published 2016“…Crop planning problem is a multi-objective optimization problem. …”
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The development of robust and fast response control algorithm for UAV crop duster
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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
Published 2023“…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)…”
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Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi
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Genetic Mutation of Cowpea as a Constrained Stochastic Optimization Problem in Sustainability
Published 2023“…Our experiments with genetic algorithm as a stochastic optimizer, confirmed that the evolution from the initial random string (initial cowpea species) to the target string (optimal cowpea solution) was smeared by uncertainties in the optimization-for-sustainability effort. …”
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Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development
Published 2023“…The study applied genetic algorithm as a stochastic optimizer using Python programming to determine the convergence pattern for obtaining an optimal cowpea solution that combines high yield and drought-tolerance. …”
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A spatial decision support system framework for optimization of cropping pattern and water resources allocation at pasargard plains, fars province, Iran
Published 2014“…A unit response matrix groundwater model was coupled with a modified version of Genetic Algorithm (GA) in order to optimize cropping patterns and water allocation decisions. …”
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A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms
Published 2024“…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
Published 2024“…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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Applying multi-objective genetic algorithm (MOGA) to optimize the energy inputs and greenhouse gas emissions (GHG) in wetland rice production
Published 2020“…The aim of this study is applying the multi-objective genetic algorithm MOGA to optimize the energy inputs and reduce the greenhouse gas emissions (GHG) for wetland rice production in Malaysia. …”
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Weeds detection for agriculture using Convolutional Neural Network (CNN) algorithm / Khairun Nisa Mohammad Nasir
Published 2024“…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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Using genetic algorithms to optimise land use suitability
Published 2012“…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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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…By using Python in analytics projects, farmers can identify areas of concern, monitor crop health trends, and implement targeted interventions to optimize resource use and maximize yields. …”
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A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…Then, this study aims to optimize the hyperparameters of the developed DNN model using the Arithmetic Optimization Algorithm (AOA) and, lastly, to evaluate the performance of the newly proposed deep learning model with Simulated Kalman Filter (SKF) algorithm in solving image encryption application. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Thus, future development can be focused on irrigated paddy crops while meeting other constraints and demands to ensure the resources are optimally utilized. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Thus, future development can be focused on irrigated paddy crops while meeting other constraints and demands to ensure the resources are optimally utilized. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Thus, future development can be focused on irrigated paddy crops while meeting other constraints and demands to ensure the resources are optimally utilized. …”
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
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