[HTML][HTML] A soil moisture experiment for validating high-resolution satellite products and monitoring irrigation at agricultural field scale
W Wang, C Ma, X Wang, J Feng, L Dong, J Kang… - Agricultural Water …, 2024 - Elsevier
Validating the satellite soil moisture products is always an active research topic for the
application of the products and improvement of the retrieval algorithms, attracting extensive …
application of the products and improvement of the retrieval algorithms, attracting extensive …
[HTML][HTML] Harnessing Image Processing for Precision Disease Diagnosis in Sugar beet Agriculture
V Misra, AK Mall - Crop Design, 2024 - Elsevier
Sugar beet, a sugar crop, faces a persistent threat from foliar and root diseases, leading to
substantial yield losses. Traditional methods of disease identification and severity …
substantial yield losses. Traditional methods of disease identification and severity …
[HTML][HTML] Intercomparison of citrus evapotranspiration among eddy covariance, OpenET ensemble models, and the Water and Energy Balance Model (BAITSSS)
Remote sensing-based surface energy balance algorithms have been used to estimate
water use of various crops. However, citrus evapotranspiration (ET) estimation is …
water use of various crops. However, citrus evapotranspiration (ET) estimation is …
Prediction of Dynamic Plantar Pressure from Insole Intervention for Diabetic Patients Based on Patch-based Multilayer Perceptron with Localization Embedding
Assessing plantar pressure is crucial for fabricating diabetic insoles and preventing diabetic
foot ulcers (DFUs), which are caused by increased plantar pressure. However, the …
foot ulcers (DFUs), which are caused by increased plantar pressure. However, the …
A Birds Species Detection Utilizing an Effective Hybrid Model
SA Rafa, ZM Al-qfail, AA Nafea… - … Multi-Conference on …, 2024 - ieeexplore.ieee.org
The aim of this study is to improve the performance of detection Birds Species by proposed a
hybrid model using a combination of MobileNetV2 for feature extraction, an Autoencoder for …
hybrid model using a combination of MobileNetV2 for feature extraction, an Autoencoder for …
[PDF][PDF] Enhanced Tomato Disease Classification Using Hybrid Deep Learning Approach
AAM Mohammed - Al-Salam Journal for Engineering and Technology, 2025 - iasj.net
Tomato disease classification is important for agricultural productivity and food security, yet
achieving high accuracy stays challenging due to the complexity of disease symptoms. This …
achieving high accuracy stays challenging due to the complexity of disease symptoms. This …
[PDF][PDF] Challenges in Implementing Cloud-based Remote and Management.
AJ Ramadhan, SY Mohammed… - Library of Progress …, 2024 - researchgate.net
The usage of cloud-based farther administration frameworks presents a heap of challenges
that affect their proficiency and security. This paper investigates these challenges, centering …
that affect their proficiency and security. This paper investigates these challenges, centering …
[PDF][PDF] A Python Algorithm software for High-Order Quasilinear Recurrence Equations in Univariate Time Series Forecasting (GLDMHO).
AJ Ramadhan, M Abotaleb… - Library of Progress …, 2024 - researchgate.net
ABSTRACT GLDMHO is a software algorithm implemented in Python, specifically designed
for automatically forecasting univariate time series data using high-order quasilinear …
for automatically forecasting univariate time series data using high-order quasilinear …
[PDF][PDF] Enhancing EHR Analysis: Leveraging RAG-Enabled Generative AI for Clinical Data Summarization.
AJ Ramadhan, SY Mohammed… - Library of Progress …, 2024 - researchgate.net
Residential aged care facilities (RACFs) have high prevalence of malnutrition and the
condition increases the health risks of elderly patients. This research aims to determine the …
condition increases the health risks of elderly patients. This research aims to determine the …