Results 231 to 240 of about 35,844 (297)
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
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
A Uav-based multisensor framework for legal industrial Cannabis monitoring and open-access dataset development. [PDF]
Rexha G +5 more
europepmc +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
ABSTRACT Net photosynthetic rate (Pn) serves as a key indicator for evaluating plant growth and yield. In order to explore an effective method for monitoring winter rapeseed Pn using unmanned aerial vehicle (UAV) multispectral technology, the winter rapeseed was taken as the research object and the multispectral images were obtained through UAVs in ...
ChengYang Ni +7 more
wiley +1 more source
A Review of the Role of Sensor in the Vertical Farms: Superiority and Prospects
Sensor networks in vertical farms This study comprehensively reviews the current application status of sensors in vertical agriculture, discovers and deeply analyzes their benefits in enhancing agricultural production efficiency, ensuring the quality of agricultural products, and promoting eco‐friendly practices in vertical farms.
Yixiao Guo +4 more
wiley +1 more source
Advanced Spectroscopic, Imaging, and Nanotechnology Tools for Diagnosing Fungal Diseases in Fruits
Schematic presentation shows various techniques applied for the detection of fungal diseases in fruits. ABSTRACT Fruits are a critical component of the human diet, as they provide essential dietary nutrients that play an important role in the functioning of the human body and maintaining health.
Vanshika Adiani, Archana Mishra
wiley +1 more source
A multimodal imaging dataset for quality grading of Canadian wild rice kernels using RGB and VNIR hyperspectral data. [PDF]
Sikiru Y, Erkinbaev C.
europepmc +1 more source

