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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 maize yield estimation and nitrogen use efficiency. The spectrophotometry, chemical analysis, and mass spectrometry are the main methods for determining the amino acid content. These methods can estim...
release time: 2022 - 09 - 07
Views:2
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:2
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:2
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:3
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:5
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:3
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:68
Application of Resonon Pika L on quantifying leaf-scale chlorophyll, nitrogen and chlorophyll fluorescence parameters in grapevineRapidly and accurately monitoring the physiological and biochemical parameters of grape leaves is the key to controlling the quality of wine grapes. Traditional methods for determining the physiological and biochemical parameters of crops require the collection of a large number of samples, which is time-consuming, labour-intensive and costly. As it is non-destructive and highly efficient, remote sensing-based spectral detection can overcome the limitations of other...
release time: 2021 - 08 - 02
Views:17
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