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1
GIS-Enhanced Crop Yield Modeling with Machine Learning
Published 2024“…Many farmers continue to grow the same crops repeatedly without experimenting with new varieties. …”
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2
Chili crop segregation system design and development strategies
Published 2021“…The methods that have been reviewed in this paper were general enough to be used in the agricultural industry that requires a high volume of chili crops and with other differentiating features to be processed at the same time. …”
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3
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…At the same time, Zhou et al. performed a higher PSNR value for a 1/2 cropping ratio only. …”
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4
Analysis of hyperspectral reflectance for disease classification of soybean frogeye leaf spot using Knime analytics
Published 2023“…In order to select the most significant wavelengths, genetic algorithm (GA) was used as a forward feature selection technique. …”
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5
Reliable low power network protocol in IoT for agriculture field
Published 2024“…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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6
Review of Wheat Disease Classification and Severity Detection Models
Published 2023“…Wheat is an important cereal crop that feeds more than a third of the world's population. …”
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7
Optimization of energy inputs and greenhouse gas emissions of wetland rice cultivation in Malaysia
Published 2019“…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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8
IoT Soil Moisture Monitoring and Irrigation System Development
Published 2020“…The system aims to monitor the moisture and properties of soil for plants. At the same time, with a self-sufficient and self-organized irrigation system based on the water-control algorithm. …”
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9
Exploring Diversity and Abundance of Stingless Bee using Clustering Approach
Published 2024“…It is thus important to study the relationship between the stingless bee’s diversity and the characteristics of the locations they inhibit. At the same time, clustering algorithms is a powerful machine learning approach in exploring unsupervised data. …”
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