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Cherry tomato (Solanum lycopersicum) is popular with consumers over the world due to its special flavor. Soluble solids content (SSC) and firmness are two key metrics for evaluating the product qualities. The existing measuring techniques relying upon chemistry reactions can derive the SSC value accurately. However, the destructive methods can not be applied in high volume measurements. Moreover, there are significant variations so that sampling can be inefficient and inaccurate. Hyperspectral imaging technology can simultaneously detect the two-dimensional spatial information and 1D spectral information, therefore combine image and spectral characteristics. It has been widely used for nondestructive testing in various fields, such as detection of plant disease stress, industrial food pack...
release time: 2022 - 12 - 30
Views:0
Cherry tomato (Solanum lycopersicum) is popular with consumers over the world due to its special flavor. Soluble solids content (SSC) and firmness are two key metrics for evaluating the product qualities. The existing measuring techniques relying upon chemistry reactions can derive the SSC value accurately. However, the destructive methods can not be applied in high volume measurements. Moreover, there are significant variations so that sampling can be inefficient and inaccurate. Hyperspectral imaging technology can simultaneously detect the two-dimensional spatial information and 1D spectral ...
release time: 2022 - 12 - 30
Views:0
The pine wood nematode (Bursaphelenchus xylophilus) is a dangerous invasive species that causes pine wilt disease (PWD), which has already destroyed enormous areas of pine forest in China. Therefore, early-stage PWD detection is crucial for a prompt management response. Hyperspectral RS uses data from hundreds of bands and continuous wavelengths, and these bands can capture physiological changes in infested trees, which help detect early-stage pest and diseases infestations. Unmanned aerial vehicle (UAV)-based hyperspectral images (HSI) can detect tree-level changes and are thus an effective t...
release time: 2022 - 11 - 30
Views:1
Application of Resonon Pika L Hyperspectral Imaging on Individual tree segmentation and tree species classification in subtropical broadleaf forestsAccurate information on tree species is essential in sustainable forest management, ecosystem service assessment, biodiversity monitoring, and ecological environment protection. Therefore, efficient, and cost-effective ways for classifying individual tree species are highly desirable. Traditional ground survey of tree species is time-consuming, labor-intensive, and expensive, which is hard to implement in large area. Remote sensing can acquire feat...
release time: 2022 - 11 - 04
Views:3
Application of Resonon Pika L Hyperspectral Imaging on the estimation of amino acid contents in maize leavesMaize is one of the most important crops in the world. In maize growth, nitrogen (N) is one of the most important nutrient elements. The nitrogen translocation in maize leaves was mainly in the form of glutamine. The maize yield is correlated well with the amino acids in leaves, such as glutamine, glutamate, alanine, aspartate, and asparagine at the grain filling stage. Therefore, accurate, and rapid estimation of amino acid contents in maize leaves is of great significance in improving ...
release time: 2022 - 09 - 07
Views:4
Hyperspectral remote sensing to assess weed competitiveness in maize farmland ecosystemsWeeds are plants that crowd out maize crops, which affect the normal growth of maize by competing for nutrients, sunlight, space, and water. However, maintaining appropriate weed diversity has ecological functions such as controlling agricultural pests, maintaining soil, and promoting nutrient cycling. To better control weed damage, the competitive roles between weeds and crops are identified for differentiated ecological weed management. After the three-leaf stage, maize relies on the absorption of nutrien...
release time: 2022 - 08 - 04
Views:5
The crop harvest index (HI) is an important biological parameter to evaluate the level of crop yield and cultivation effectiveness, and it is an important determinant of further improvement of crop yield. It is of great significance for research on the application of crop variety breeding, crop growth simulation, crop management in precision agriculture and crop yield estimation, among other topics. In recent years, Remote sensing has gradually become an effective technical means for obtaining largescale crop HIs because of its advantages in speed, accuracy and coverage area. And unmanned aeri...
release time: 2022 - 05 - 09
Views:10
WinRoots: A High-Throughput Cultivation and Phenotyping System for Plant Phenomics Studies Under Soil StressStress due to soil composition, such as salinity, heavy metals, and nutrient deficiency, is a primary cause for crop yield reduction. Crop soil stress tolerance is a complex trait that involves the regulation of a variety of genetic and non-genetic factors such as plant morphology, metabolism, and gene regulatory networks. Traditional crop phenotyping is generally carried out in the field, which is time-consuming and labor-intensive, suffers from low throughput, and can routinely be affe...
release time: 2022 - 05 - 01
Views:9
Application of Resonon Pika XC2 on Differentiating Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.)As an emerging cash crop, industrial hemp (Cannabis sativa L.) grown for cannabidiol (CBD) has spurred a surge of interest in the United States. Cultivar selection and harvest timing are important to produce CBD hemp profitably and avoid economic loss resulting from the tetrahydrocannabinol (THC) concentration in the crop exceeding regulatory limits. Hence there is a need for differentiating CBD hemp cultivars and growth stages to aid in cultivar and...
release time: 2022 - 04 - 20
Views:4
Application of Resonon Pika L on winter wheat yield estimationCrop yield is one of the most critical issues affecting national economic development and food security. Accurate and timely crop yield estimation is essential for precision agriculture and sustainable development, and can provide strong support for agricultural decision-making and management. Traditional crop yield estimation heavily depends on ground field surveys, which are costly, time consuming and prone to large errors. The rapid development of unmanned aerial vehicles (UAVs) offers a new approach to acquire high spatio-tempor...
release time: 2022 - 01 - 20
Views:17
A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level Pine wilt disease (PWD) is caused by the pine wood nematode (PWN, Bursaphelenchus xylophilus) and is spread through the insect vector pine sawyer beetle (Monochamus spp.). It is a global destructive threat to forests, having caused extreme damage in China. Currently, PWD management countermeasures are mostly based on the control of dead trees after the onset of an outbreak by fumigation, burning, and tree-felling operations. Therefore, the development of a more e...
release time: 2021 - 08 - 10
Views:70
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