Results 81 to 90 of about 8,406 (209)
Quantitative inversion is a major topic in remote sensing science. The development of visible light-based hyperspectral reconstruction techniques has opened novel prospects for low-cost, high-precision remote sensing inversion in agriculture.
Weiguang Yang +5 more
doaj +1 more source
Abstract The United Nations Sustainable Development Goals (UN SDGs) were defined to improve the quality of life of the global population particularly regarding social and economic aspects, with a major focus on environmental sustainability. The incorporation of digital technologies into the agri‐food sector has become a key enabler in increasing the ...
Daniel Cozzolino, Louwrens C Hoffman
wiley +1 more source
The Promise of Low‐Cost Metal‐Oxide Semiconductor Gas Sensors for Precision Agriculture
Low‐cost MOS (metal‐oxide semiconductor) gas sensors are redefining smart farming. This review explores their role across soil monitoring, crop health assessment, and post‐harvest management. By addressing challenges of selectivity, signal drift, and data fusion, this work envisions MOS gas sensors as pivotal tools for intelligent, data‐driven, and ...
Ali Ahmad +5 more
wiley +1 more source
Real-time local anomaly detection needs to be performed simultaneously with hyperspectral image acquisition. However, the discussion on the scope of using existing data, mainly focuses on line-by-line data acquisition methods and does not address pixel ...
Shihui Liu, Meiping Song
doaj +1 more source
Abstract Solanum tuberosum L. (potato) is the world's most important vegetable crop, and developing improved cultivars is paramount for global food security. The efficacy of the genomic prediction models that accelerate breeding and genome‐wide association studies (GWAS) depends on large, high‐quality phenotypic datasets, which are often associated ...
Trine Aalborg +5 more
wiley +1 more source
Prediction and mapping of tobacco yield with fresh leaf mass using hyperspectral sensing data
Tobacco yield is important for agricultural management and policy making. Hyperspectral remote sensing has advantages in predicting and mapping crop yield, providing both yield values and the spatial distribution of yield.
Junying Li +6 more
doaj +1 more source
Hyperspectral remote sensing (HSRS) is becoming more and more attractive. Recent advances in sensor technologies enabled numerous applications of this imaging modality. HSRS research has been conducted at TUBITAK UZAY since 2012. This paper provides a short survey of these research and development activities ranging from hyperspectral remote sensing ...
Sakarya, Ufuk +8 more
openaire +2 more sources
Estimating Plant Species Richness With Sentinel and Landsat Data Across Ecosystems in China
438 field plots were used to estimate plant diversity across ecosystems; 18 spectral indices were derived from Sentinel and Landsat data; EVI, DVI, PSRI, NDVI, PRI, GNDVI, and GMEVI were identified as powerful indicators for predicting plant alpha diversity.
Keman Wang +4 more
wiley +1 more source
Normalized flow potential connectivity analysis for water deer (a), wild boar (b) except buffer zone (100 m), and changed predicted area for both the species according to the reclassified level of connectivity (c) for crop rotation within the mountain area.
Wonhyeop Shin +5 more
wiley +1 more source

