UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
[HTML][HTML] Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
J Yuan, Y Zhang, Z Zheng, W Yao, W Wang, L Guo - Drones, 2024 - mdpi.com
Preharvest crop yield estimation is crucial for achieving food security and managing crop
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …
[HTML][HTML] Design and experiment of ordinary tea profiling harvesting device based on light detection and ranging perception
X Huan, M Wu, X Bian, J Jia, C Kang, C Wu, R Zhao… - Agriculture, 2024 - mdpi.com
Due to the complex shape of the tea tree canopy and the large undulation of a tea garden
terrain, the quality of fresh tea leaves harvested by existing tea harvesting machines is poor …
terrain, the quality of fresh tea leaves harvested by existing tea harvesting machines is poor …
[HTML][HTML] Flight Altitude and Sensor Angle Affect Unmanned Aerial System Cotton Plant Height Assessments
Plant height is a critical biophysical trait indicative of plant growth and developmental
conditions and is valuable for biomass estimation and crop yield prediction. This study …
conditions and is valuable for biomass estimation and crop yield prediction. This study …
Enhancing sustainable Chinese cabbage production: a comparative analysis of multispectral image instance segmentation techniques
X Yuan, H Yu, T Geng, R Ma, P Li - Frontiers in Sustainable Food …, 2024 - frontiersin.org
Accurate instance segmentation of individual crops is crucial for field management and crop
monitoring in smart agriculture. To address the limitations of traditional remote sensing …
monitoring in smart agriculture. To address the limitations of traditional remote sensing …
Temporal forecasting of plant height and canopy diameter from RGB images using a CNN-based regression model for ornamental pepper plants (Capsicum spp.) …
R Ruiz-Gonzalez, AMM do Nascimento… - Neural Computing and …, 2024 - Springer
Being capable of accurately predicting morphological parameters of the plant weeks before
achieving fruit maturation is of great importance in the production and selection of suitable …
achieving fruit maturation is of great importance in the production and selection of suitable …
Optimizing UAV Hyperspectral Imaging for Predictive Analysis of Nutrient Concentrations, Biomass Growth, and Yield Prediction of Potatoes
Accurate real-time estimation of nutrient concentrations in potato (Solanum tuberosum L.)
canopies is crucial for advanced decision support systems in site-specific nutrient …
canopies is crucial for advanced decision support systems in site-specific nutrient …
Development of Simultaneous Localization and Mapping for Unmanned Aerial Vehicles using Hyperspectral Imaging Techniques
G Gondhalekar, V Tendoulkar, S Nazia Banu… - 2024 - papers.ssrn.com
The new project adds exciting capability to the arena of hyperspectral imaging with custom
high-end approach based state-of-the-art in SLAM, taking advanced UAV technology into …
high-end approach based state-of-the-art in SLAM, taking advanced UAV technology into …