Results 1 to 10 of about 1,055 (116)

Comparative Assessment of UAV and Sentinel-2 NDVI and GNDVI for Preliminary Diagnosis of Habitat Conditions in Burunge Wildlife Management Area, Tanzania

Earth, 2022
Habitat condition is a vital ecological attribute in wildlife conservation and management in protected areas, including the Burunge wildlife management areas in Tanzania.
Hamza K Kija, Linus Munishi, Lazaro Mangewa   +2 more
exaly   +3 more sources

OBM-RFEcv: An adaptive ensemble model for monitoring key growth indicators of Gerbera using multi-spectral image fusion features. [PDF]

PLoS ONE
This study aims to address the challenge of monitoring Plant Height (PH), SPAD, Leaf Area Index (LAI), and Above-Ground Biomass (AGB) in Gerbera under greenhouse cultivation conditions. We initially gathered multi-spectral images and corresponding ground
Xinrui Wang, Yingming Shen, Peng Tian, Mengyao Wu, Zhaowen Li, Jiawei Zhao, Jihong Sun, Ye Qian   +7 more
doaj   +2 more sources

Monitoring of Soybean Bacterial Blight Disease Using Drone-Mounted Multispectral Imaging: A Case Study in Northeast China

Agronomy
Soybean bacterial blight disease is a threat to soybean production. Multispectral technology has shown good potential in detecting this disease and can overcome the limitations of traditional methods. The aim of this study was to perform field monitoring
Tianhao Pei
exaly   +3 more sources

Assessment of the spatiotemporal variability of trees status in an olive orchard through multispectral drone images

African and Mediterranean Agricultural Journal - Al Awamia, 2022
Precision Agriculture (PA) is a management strategy based on Information and Communication Technologies (ICT) used to assist management decisions with the aim to increase productivity, to reduce labor time and inputs needed, to improve benefits and to ...
S. El Iraqui El Houssaini, H. Iaaich, A. El Bakkali, R. Razouk, K. Bouhafa, K. Habbadi, A. Benbouazza, M. Alghoum, A. Douaik   +8 more
doaj   +1 more source

FUSE-Net: Multi-Scale CNN for NIR Band Prediction from RGB Using GNDVI-Guided Green Channel Enhancement [PDF]

Sensors
Deepak Ghimire, Sewoon Cho, Byoungjun Kim   +2 more
exaly   +2 more sources

Lake Water Quality and Dynamics Assessment during 1990–2020 (A Case Study: Chao Lake, China)

Atmosphere, 2023
Settlements along the coastlines of oceans and lakes, which are among the world’s most densely populated areas, are in immediate danger due to stressors brought on by climate change and dangers posed by human activities. This study investigates the water
Chuan Li, Iman Rousta, Haraldur Olafsson, Hao Zhang   +3 more
doaj   +1 more source

Relationship of the Seasonal Vegetation Indices against the NDVI and LST in the Region of Kamuku Game Reserve and Kwiambana National Park, Nigeria

Indonesian Journal of Earth Sciences, 2022
While it is anticipated that there would be some similarities amongst spectral Vegetation Indices (VIs) because the majority of the indices use the red and NIR bands, it is also expected that there would be some variances.
AbdulAzeez Onotu Aliyu, Terwase Tosin Youngu, Adamu Bala, Samuel Azua, Swafiyudeen Bawa, Muhammad Kabir Agboola   +5 more
doaj   +1 more source

Evaluating Multispectral Imaging for Assessing Bacterial Leaf Blight Damage in Indonesian Agricultural Insurance [PDF]

E3S Web of Conferences, 2021
Bacterial Leaf Blight (BLB) is one of the main diseases in Indonesia that causes a 90% reduction in grain weight. Multispectral imaging may be used as a quick and effective method for damage assessment and is expected to utilize on agricultural insurance
Giamerti Yuti, Hongo Chiharu, Saito Daiki, Caasi Oliver, Nur Susilawati Pepi, Shishido Masahiro, Sudiarta I Putu, Sutrisna Wijaya I Made Anom, Homma Koki   +8 more
doaj   +1 more source

Estimation of Productivity and Above-Ground Biomass for Corn (Zea mays) via Vegetation Indices in Madeira Island

Agriculture, 2023
The advancement of technology associated with the field, especially the use of unmanned aerial vehicles (UAV) coupled with multispectral cameras, allows us to monitor the condition of crops in real time and contribute to the field of machine learning ...
Fabrício Lopes Macedo, Humberto Nóbrega, José G. R. de Freitas, Carla Ragonezi, Lino Pinto, Joana Rosa, Miguel A. A. Pinheiro de Carvalho   +6 more
doaj   +1 more source

Effects of Satellite Revisit Rate and Time-Series Smoothing Method on Throughout-Season Maize Yield Correlation Accuracy

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Predictions of crop yield made during the growing season aid in crop management and economic planning. Many yield prediction models are made by performing regression between satellite-derived vegetation indices (VI) and yield.
Emily Myers, John Kerekes, Craig Daughtry, Andrew Russ   +3 more
doaj   +1 more source