Results 1 to 10 of about 956 (118)
Alterations in serum metabolomics predict drug-resistant epilepsy [PDF]
Scientific ReportsDrug-resistant epilepsy (DRE) lacks a reliable early warning system. This prospective study developed an early predictive model for DRE based on baseline serum metabolite levels. Serum samples were collected from 151 prospectively recruited patients with
Wenzhong Kang +9 more
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Agrosystems, Geosciences & EnvironmentUnderstanding the effect of nitrogen (N) rates on hemp (Cannabis sativa) cultivation is crucial for optimizing crop yield and quality. This study evaluated the effectiveness of handheld (active) and drone (passive) sensors in measuring crop reflectance ...
Aditya Singh +2 more
exaly +2 more sources
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 +8 more
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Canadian Journal of Remote Sensing, 2022 Normalized difference vegetation index (NDVI) and normalized difference red-edge index (NDRE) are vegetation indices commonly used in agriculture to provide information on crop’s growth and health. Here, we investigated the sensitivity of both indices to
Charles Marty +5 more
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Frontiers in Plant Science, 2022 Nitrogen (N) is the most limiting nutrient for turfgrass growth. Few tools or soil tests exist to help managers guide N fertilizer decisions. Turf growth prediction models have the potential to be useful, but the lone turfgrass growth prediction model ...
Qiyu Zhou, Douglas J. Soldat
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ANALYSIS ON THE EFFECT OF SPATIAL AND SPECTRAL RESOLUTION OF DIFFERENT REMOTE SENSING DATA IN SUGARCANE CROP YIELD STUDY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Sugarcane is a perennial crop that contributes to nearly 80% of the global sugar-based products. Therefore, sugarcane growers and food companies are seeking ways to address the concerns related to sugarcane crop yield and health. In this study, a spatial
S. Akbarian, C.-Y. Xu, S. Lim
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Using an Active Sensor to Develop New Critical Nitrogen Dilution Curve for Winter Wheat
Sensors, 2020 Critical nitrogen (N) dilution curves (CNDCs) have been developed to describe the dilution dynamic of N and to diagnose N status in plants. In this study, to develop a convenient alternative CNDC determination method, four field experiments involving ...
Jie Jiang +7 more
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Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data
Remote Sensing, 2021 Time series of vegetation indices can be utilized to capture crop phenology information, and have been widely used in land cover and crop classification, phenological feature extraction, and planting structure monitoring.
Yupeng Kang +6 more
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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 +6 more
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Remote Sensing, 2022 Reflectance-based vegetation indices can be valuable for assessing crop nitrogen (N) status and predicting grain yield. While proximal sensors have been widely studied in agriculture, there is increasing interest in utilizing aerial sensors.
Telha H. Rehman +2 more
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