Plant disease detection using machine learning approaches
Plant health care is the science of anticipating and diagnosing the advent of life‐threatening
diseases in plants. The fatality rate of plants can be reduced by diagnosing them for any …
diseases in plants. The fatality rate of plants can be reduced by diagnosing them for any …
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in West Africa
Abstract Soybean (Glycine max (L.) Merr.) is a leguminous and oil crop with rapidly growing
importance and demand in Africa following the increasing demand for oil and livestock and …
importance and demand in Africa following the increasing demand for oil and livestock and …
Transferability of Recursive Feature Elimination (RFE)-Derived Feature Sets for Support Vector Machine Land Cover Classification
CA Ramezan - Remote Sensing, 2022 - mdpi.com
Remote sensing analyses frequently use feature selection methods to remove non-
beneficial feature variables from the input data, which often improve classification accuracy …
beneficial feature variables from the input data, which often improve classification accuracy …
[HTML][HTML] An efficient EGWO algorithm as feature selection for B-ALL diagnoses and its subtypes classification using peripheral blood smear images
Acute lymphoblastic leukemia (ALL) is the most serious type of leukemia that develops
because it causes an abnormal increase in the production of immature white blood cells in …
because it causes an abnormal increase in the production of immature white blood cells in …
An efficient strategy for blood diseases detection based on grey wolf optimization as feature selection and machine learning techniques
Acute Lymphoblastic Leukemia (ALL) is a cancer that infects the blood cells causing the
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
Soil surface texture classification using RGB images acquired under uncontrolled field conditions
Soil surface texture classification is a critical aspect of agriculture and soil science that
affects various soil properties, such as water-holding capacity and soil nutrient retention …
affects various soil properties, such as water-holding capacity and soil nutrient retention …
Marine oil spill detection with X-band shipborne radar using GLCM, SVM and FCM
B Li, J Xu, X Pan, L Ma, Z Zhao, R Chen, Q Liu… - Remote Sensing, 2022 - mdpi.com
Marine oil spills have a significant adverse impact on the economy, ecology, and human
health. Rapid and effective oil spill monitoring action is extraordinarily important for …
health. Rapid and effective oil spill monitoring action is extraordinarily important for …
Assessment of soybean lodging using UAV imagery and machine learning
Plant lodging is one of the most essential phenotypes for soybean breeding programs.
Soybean lodging is conventionally evaluated visually by breeders, which is time-consuming …
Soybean lodging is conventionally evaluated visually by breeders, which is time-consuming …
Prognostic value of 18F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer
Objectives By comparing the prognostic performance of 18F-FDG PET/CT-based radiomics
combining dose features [Includes Dosiomics feature and the dose volume histogram (DVH) …
combining dose features [Includes Dosiomics feature and the dose volume histogram (DVH) …
Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data
G Cheng, H Ding, J Yang, Y Cheng - International Journal of …, 2023 - Taylor & Francis
Crop type mapping visualizes the spatial distribution pattern and proportion of planting
areas of different crop types, which is the basis for subsequent agricultural applications …
areas of different crop types, which is the basis for subsequent agricultural applications …