Results 91 to 100 of about 2,900 (227)
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
Surface-canopy forming kelps (Macrocystis pyrifera and Nereocystis luetkeana) can be monitored along the Northeast Pacific coast using remote sensing. These kelp canopies can be submerged by tides and currents, making it difficult to accurately determine
Brian Timmer +5 more
doaj +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
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
Simulation-based inference advances water quality mapping in shallow coral reef environments
Human activities are altering coral reef ecosystems worldwide. Optical remote sensing via satellites and drones can offer novel insights into where and how coral reefs are changing.
Pirta Palola +11 more
doaj +1 more source
Abstract Turfgrass management faces challenges related to water scarcity, making it essential to explore innovative technologies, such as remote sensing and machine learning (ML), to monitor turf quality (TQ) and soil moisture levels effectively. The objective of this study was to develop ML models using unmanned aerial vehicle and imagery technology ...
Haoguang Yang +3 more
wiley +1 more source
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
Abstract Natural regeneration is essential for maintaining functionally diverse and resilient plant communities in human‐modified landscapes. To design and implement successful conservation and restoration initiatives in these landscapes, research on the environmental and anthropogenic drivers of natural regeneration must be scaled up beyond ...
Luc Schmid +2 more
wiley +1 more source
Hyperspectral imaging combines spectroscopy with imaging, thus capturing both spectral and spatial features. This makes it a useful technology in several application areas such as remote sensing and smart agriculture.
Shah Faisal +4 more
doaj +1 more source

