Machine learning and food security: insights for agricultural spatial planning in the context of agriculture 4.0
VJPD Martinho, CAS Cunha, ML Pato, PJL Costa… - Applied Sciences, 2022 - mdpi.com
Climate change and global warming interconnected with the new contexts created by the
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …
Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals
S Parthiban, T Vijeesh, T Gayathri… - Frontiers in Plant …, 2023 - frontiersin.org
Recombinant biopharmaceuticals including antigens, antibodies, hormones, cytokines,
single-chain variable fragments, and peptides have been used as vaccines, diagnostics and …
single-chain variable fragments, and peptides have been used as vaccines, diagnostics and …
Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index
N Yang, Z Zhang, J Zhang, Y Guo, X Yang, G Yu… - … and Electronics in …, 2023 - Elsevier
Crop leaf area index (LAI) is one of the important indicators to evaluate crop growth and
guide field management, and can be used to predict crop yield. Spectral and thermal …
guide field management, and can be used to predict crop yield. Spectral and thermal …
[HTML][HTML] UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background
The high proportion of soil background pixels in UAV remote sensing images is an important
reason for the uncertainty of high-precision leaf area index (LAI) estimation at early growth …
reason for the uncertainty of high-precision leaf area index (LAI) estimation at early growth …
[HTML][HTML] Monitoring maize canopy chlorophyll content throughout the growth stages based on UAV MS and RGB feature fusion
W Li, K Pan, W Liu, W **ao, S Ni, P Shi, X Chen, T Li - Agriculture, 2024 - mdpi.com
Chlorophyll content is an important physiological indicator reflecting the growth status of
crops. Traditional methods for obtaining crop chlorophyll content are time-consuming and …
crops. Traditional methods for obtaining crop chlorophyll content are time-consuming and …
Smart cybersecurity framework for IoT-empowered drones: Machine learning perspective
Drone advancements have ushered in new trends and possibilities in a variety of sectors,
particularly for small-sized drones. Drones provide navigational interlocation services, which …
particularly for small-sized drones. Drones provide navigational interlocation services, which …
Exploring multisource feature fusion and stacking ensemble learning for accurate estimation of maize chlorophyll content using unmanned aerial vehicle remote …
W Zhai, C Li, Q Cheng, F Ding, Z Chen - Remote Sensing, 2023 - mdpi.com
Crop chlorophyll content measuring plays a vital role in monitoring crop growth and
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …
Estimating canopy-scale chlorophyll content in apple orchards using a 3D radiative transfer model and UAV multispectral imagery
Chlorophyll content is a key trait for understanding the functioning of agroforestry
ecosystems and has important implications for leaf and canopy photosynthesis. However …
ecosystems and has important implications for leaf and canopy photosynthesis. However …
Estimation of maize LAI using ensemble learning and UAV multispectral imagery under different water and fertilizer treatments
Q Cheng, H Xu, S Fei, Z Li, Z Chen - Agriculture, 2022 - mdpi.com
The leaf area index (LAI), commonly used as an indicator of crop growth and physiological
development, is mainly influenced by the degree of water and fertilizer stress. Accurate …
development, is mainly influenced by the degree of water and fertilizer stress. Accurate …
[HTML][HTML] Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning
Soybean is a pivotal agricultural commodity around the world, primarily because of its high
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …