A novel hybrid severity prediction model for blast paddy disease using machine learning
Hypothesis: Due to the increase in the losses in paddy yield as a result of various paddy
diseases, researchers are working tirelessly for a technological solution to assist farmers in …
diseases, researchers are working tirelessly for a technological solution to assist farmers in …
Predictive intelligence for healthcare outcomes: An ai architecture overview
This research aims to analyze the continuous structure involved in developing Artificial
Intelligence (AI)-based healthcare systems to ensure sustainable outcomes. A comparison is …
Intelligence (AI)-based healthcare systems to ensure sustainable outcomes. A comparison is …
Transforming Payment Processes: A Discussion of AI-Enabled Routing Optimization
The utilization of Artificial Intelligence (AI)-enabled software and hardware is expected to
enhance the effectiveness of monetary exchanges, which is the main objective of this …
enhance the effectiveness of monetary exchanges, which is the main objective of this …
Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
H Ning, S Liu, Q Zhu, T Zhou - Frontiers in Plant Science, 2023 - frontiersin.org
There are many rice diseases, which have very serious negative effects on rice growth and
final yield. It is very important to identify the categories of rice diseases and control them. In …
final yield. It is very important to identify the categories of rice diseases and control them. In …
A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases
Introduction Paddy leaf diseases have a catastrophic influence on the quality and quantity of
paddy grain production. The detection and identification of the intensity of various paddy …
paddy grain production. The detection and identification of the intensity of various paddy …
Optimized classification model for plant diseases using generative adversarial networks
The agricultural industry, the service sector, and the food processing industry are just a few
of the many aspects that affect a country's economy. One of the most important sectors of the …
of the many aspects that affect a country's economy. One of the most important sectors of the …
Approaches to identify paddy plant diseases using deep learning: A review
AK Dixit, R Verma - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
To avoid a falling-off in the volume and production of agrarian products, it is crucial to
determine Rice plant illnesses. The application of various ML and image-processing …
determine Rice plant illnesses. The application of various ML and image-processing …
Deep learning-based hybrid model for severity prediction of leaf smut rice infection
Conventional rice crop disease prediction models show some drawbacks, such as the
expensive cost of acquiring the input data necessary to run the model, the absence of spatial …
expensive cost of acquiring the input data necessary to run the model, the absence of spatial …
Enhanced CNN Classification Capability for Small Rice Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications
Y Lu, X Tao, N Zeng, J Du, R Shang - Remote Sensing, 2023 - mdpi.com
An enhancement generator model with a progressive Wasserstein generative adversarial
network and gradient penalized (PWGAN-GP) is proposed to solve the problem of low …
network and gradient penalized (PWGAN-GP) is proposed to solve the problem of low …
An efficient deep learning with a big data-based cotton plant monitoring system
A Stephen, P Arumugam, C Arumugam - International Journal of …, 2024 - Springer
In Agriculture, plant monitoring plays an important role from seedling to harvesting which
helps farmers achieve a good yield. This paper focuses on building bigdata based cotton …
helps farmers achieve a good yield. This paper focuses on building bigdata based cotton …