Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral …
H Liu, J Chen, Y Xiang, H Geng, X Yang, N Yang… - European Journal of …, 2024 - Elsevier
Soil moisture content (SMC) acquisition is vital for crop stress diagnosis and precision
irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low …
irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low …
[HTML][HTML] Advances in Sustainable Crop Management: Integrating Precision Agriculture and Proximal Sensing
This review explores the transformative potential of precision agriculture and proximal
sensing in revolutionizing crop management practices. By delving into the complexities of …
sensing in revolutionizing crop management practices. By delving into the complexities of …
[HTML][HTML] Monitoring Helicoverpa armigera Damage with PRISMA Hyperspectral Imagery: First Experience in Maize and Comparison with Sentinel-2 Imagery
FE Sári-Barnácz, M Zalai, G Milics, M Tóthné Kun… - Remote Sensing, 2024 - mdpi.com
The cotton bollworm (CBW) poses a significant risk to maize crops worldwide. This study
investigated whether hyperspectral satellites offer an accurate evaluation method for …
investigated whether hyperspectral satellites offer an accurate evaluation method for …
Deep Learning in Plant Stress Phenomics Studies-A Review
S Patil, S Kolhar, J Jagtap - International Journal of Computing …, 2024 - journal.uob.edu.bh
Efficient crop management and treatment rely on early detection of plant stress. Imaging
sensors provide a non-destructive and commonly used method for detecting stress in large …
sensors provide a non-destructive and commonly used method for detecting stress in large …
Development of a Multiscale XGBoost-based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data
S Chang, Z Chi, H Chen, T Hu, C Gao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Potatoes, a crucial staple crop, face significant threats from late blight, which poses serious
risks to food security. Despite extensive research using ground and unmanned aerial …
risks to food security. Despite extensive research using ground and unmanned aerial …
Rapeseed Seed Coat Color Classification Based on the Visibility Graph Algorithm and Hyperspectral Technique
C Zou, X Zhu, F Wang, J Wu, YG Wang - Agronomy, 2024 - mdpi.com
Information technology and statistical modeling have made significant contributions to smart
agriculture. Machine vision and hyperspectral technologies, with their non-destructive and …
agriculture. Machine vision and hyperspectral technologies, with their non-destructive and …
Hyperspectral Reflectance Assessment for Preliminary Identification of Degraded Soil Zones in Industrial Sites, India
The study explores the potential of next-generation satellite hyperspectral imaging systems
for screening and predicting surface‐soil contamination and degradation by exploiting …
for screening and predicting surface‐soil contamination and degradation by exploiting …
CONTROLE BIOLÓGICO SOBRE A QUALIDADE DE SEMENTES DE CAJANUS CAJAN (L.) MILLSP
AF da Silva Cruz, DB Araújo… - … da Faculdade de …, 2024 - revista.faema.edu.br
O controle biológico de patógenos em sementes vem conquistando destaque por ser uma
alternativa promissora no manejo integrado de doenças e ação benéfica sobre o …
alternativa promissora no manejo integrado de doenças e ação benéfica sobre o …