Use and adaptations of machine learning in big data—Applications in real cases in agriculture

A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …

A machine learning based framework for a stage-wise classification of date palm white scale disease

A Hessane, A El Youssefi, Y Farhaoui… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Date palm production is critical to oasis agriculture, owing to its economic importance and
nutritional advantages. Numerous diseases endanger this precious tree, putting a strain on …

A perspective view of cotton leaf image classification using machine learning algorithms using WEKA

BM Patil, V Burkpalli - Advances in Human‐Computer …, 2021 - Wiley Online Library
Cotton is one of the major crops in India, where 23% of cotton gets exported to other
countries. The cotton yield depends on crop growth, and it gets affected by diseases. In this …

A Plant Disease Classification Algorithm Based on Attention MobileNet V2

H Wang, S Qiu, H Ye, X Liao - Algorithms, 2023 - mdpi.com
Plant growth is inevitably affected by diseases, and one effective method of disease
detection is through the observation of leaf changes. To solve the problem of disease …

[PDF][PDF] Classification of Cotton Leaf Diseases Using AlexNet and Machine Learning Models

P Borugadda, R Lakshmi, S Govindu - 2021 - academia.edu
Computer vision has been demonstrated as state-of-the-art technology in precision
agriculture in recent years. In this paper, an Alex net model was implemented to identify and …

[PDF][PDF] Dimensionality reduction-based approach to classify the cotton leaf images using transfer learning on VGG16

N Vinoda, P Borugadda, V Beera, RM Babu - Pharma Innov. J, 2022 - researchgate.net
In Precession agriculture, computer vision has been demonstrated as state-of-the-art
technology. In this paper, a VGG16 model was applied to identify and classify cotton leaf …

[PDF][PDF] Use and Adaptations of Machine Learning in Big Data—Applications in Real Cases in Agriculture. Electronics 2021, 10, 552

A Cravero, S Sepúlveda - 2021 - pdfs.semanticscholar.org
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …

Date Palm White Scale Disease Detection using Convolutional Neural Networks (VGG16)

DY Reddy, ACK Reddy, CH Prakhyat… - 2024 International …, 2024 - ieeexplore.ieee.org
Date palm (Phoenix dactylifera) is a significant agricultural crop, but its productivity is often
hampered by various diseases such as brown spot and white scale infestations. Early …

Biotic Disease Recognition of Cassava Leaves Using Transfer Learning

R Sharma, A Singh - Recent Innovations in Computing: Proceedings of …, 2022 - Springer
Healthy plants are essential for supporting life on Earth. Biotic plant diseases adversely
impact food crops resulting in economical losses to farmers. Early and accurate diagnosis of …

[PDF][PDF] Research Article A Perspective View of Cotton Leaf Image Classification Using Machine Learning Algorithms Using WEKA

BM Patil, V Burkpalli - 2021 - academia.edu
Cotton is one of the major crops in India, where 23% of cotton gets exported to other
countries. e cotton yield depends on crop growth, and it gets affected by diseases. In this …