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RICE: An Optimizing Curry Compiler
This paper introduces the RICE compiler, an optimizing compiler for the functional logic language Curry, written entirely in Curry. We show the...
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Deep Learning-Based Rice Disease Prediction
Rice diseases are a prominent cause of reduced crop yield. Viruses, fungi, and bacteria might transmit all kinds of rice diseases. Early...
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A Cross-comparison Between Rice Crop Monitoring Systems: GISTDA and International Asian Harvest mOnitoring System for Rice (INAHOR): JAXA
Rice is the most important crop governing food security in Asia. Rice crop monitoring is an important activity for crop management. While space...
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Improving Rice Yield Prediction Accuracy Using Regression Models with Climate Data
Rice production is critical to food security, and accurate yield predictions are required for planning and decision-making. However, precisely...
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Optimization Based Rice Leaf Disease Classification in Federated Learning
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry....
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Enhanced individual characteristics normalized lightweight rice-VGG16 method for rice seed defect recognition
The current rice seed defect recognition methods have several disadvantages, including the background segmentation of images, complex operation, and...
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Rough Rice Grading in the Philippines Using Infrared Thermography
The Rough rice grading is a set of standard methods and processes for evaluating quality that are important to marketing and process controls. IR...
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Recognition of Varities of Rice Using Deep Learning Technologies
The goal of this study is to develop a reliable deep learning framework that effectively identifies completely unique rice species from images...
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An Offline Biotic Stress Recognition Tool for Rice Plants Through Domain Shift
Researchers are investigating deep learning techniques with their automatic feature learning capabilities for automated rice disease recognition from...
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Novel hybrid ARIMA–BiLSTM model for forecasting of rice blast disease outbreaks for sustainable rice production
In recent years, the application of artificial intelligence (AI) in agriculture has grown to be the most important research domain. The proposed work...
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A Transfer Learning-Based Approach for Rice Plant Disease Detection
Vietnam is a significant exporter of agricultural products in the region and the world. However, farmers face the impact of global climate change,...
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Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network
Food is closely related to national economy and people’s livelihood. Rice is the largest grain crop in China, it is crucial to predict the loss rate...
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A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties
Rice is an essential staple food for human nutrition. Rice varieties worldwide have been planted, imported, and exported. During production and...
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Machine Learning for Rice (Oryza sativa L.) Phenological Identification
Rice is one of the most important crops worldwide because of its nutritional value. Panama is one of the highest rice consumers in the world and the...
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Fast and robust monitoring of broken rice kernels in the course of milling
Rice milling industries are seen in large numbers in the eastern and southern parts of India. Like the other industries, this is also going through...
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A deep learning-based model for biotic rice leaf disease detection
The detection of rice leaf disease is an essential step for implementing precise and timely interventions, thereby mitigating the spread and...
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Automated deep feature fusion based approach for the classification of multiclass rice diseases
Rice is a widely used grain product all over the world, and obtaining high-quality rice products is crucial. However, the quantity and quality of...
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FusedNet Model for Varietal Classification of Rice Seeds
Rice is one of the most cultivated crops in the world and a primary food source for more than half of the global population. The primary focus of...
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Automatic Rice Plant’s disease diagnosis using gated recurrent network
Rice crop contains a wide variety of diseases that can affect the entire yield. These infections include but are not limited to fungal blast...
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An efficient IoT based framework for detecting rice disease in smart farming system
In recent days, Farmers and agriculture experts face several enduring agricultural challenges such as early detection of crop diseases like rice leaf...
