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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
Soil properties and substrate quality determine the priming of soil organic carbon during vegetation successionSoil organic matter (SOM), the largest carbon (C) pool in terrestrial ecosystems, is extremely vulnerable to climate and human disturbances. Even a small change in SOM can greatly influence atmosphere CO2 concentration and C balance. Fresh organic matter (FOM), e.g., leaf litter and root exudate, contributes considerably to SOM formation, but can also modify SOC mineralization through the priming effect (PE). While many studies have shown that plant derived C entering the soil would i...
release time: 2022 - 05 - 06
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
In recent decades, massively increasing nutrient discharge from soil erosion, agricultural activity, and anthropogenic sewage has resulted in the significant deterioration and eutrophication of freshwater ecosystems, becoming a pressing environmental problem in many countries. Eutrophication results in undesirable ecological consequences. Phosphorus is an essential bio-limiting nutrient responsible for eutrophication and water quality deterioration, thereinto particulate phosphorus (PP) serves as an important potential source of phosphorus for the growth of phytoplankton and bacteria, thereby ...
release time: 2022 - 04 - 25
Arbuscular mycorrhizal fungi alleviate elevated temperature and nitrogen deposition- induced warming potential by reducing soil N2O emissions in a temperate meadowNitrous oxide (N2O) is one of the most important greenhouse gases and plays an important role in global warming (IPCC, 2013). N2O emissions contribute nearly 10% of anthropogenic climate warming because of their higher global warming potential. The emission of N2O has been influenced by many global changes, including elevated temperature, drought, and nitrogen (N) deposition. Arbuscular mycorrhizal (AM) fungi form mutualist...
release time: 2022 - 04 - 21
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
Estimation of biomass and nutritive value of grass and clover mixtures by analyzing spectral and crop height data using chemometric methods Accurate estimation of forage characteristics is needed to guide decision making on fertilization and harvesting schedules for farmers. It is a common practice to estimate forage nutritive value by laboratory analysis, which limits in-field decision making. Field spectroscopy offers a nondestructive approach to obtain crop biochemical information by measuring and analyzing canopy spectral reflectance (CSR). Crop height is an important agronomic parame...
release time: 2022 - 01 - 24
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
Soil CO2 and CH4 emissions and their carbon isotopic signatures linked to saturated and drained states of the Three Gorges Reservoir of ChinaIncreased CO2 and CH4 emissions are the main causes of global warming (IPCC, 2013), with approximately 44% and 60% of CO2 and CH4 emissions being emitted into the atmosphere by anthropogenic activities. Human activities such as dams disturb the structure and function of wetlands, triggering large soil CO2 and CH4 emissions. However, controls over field CO2 and CH4 emissions and their carbon isotopic signatures in reservoir wetlands are not yet fully under...
release time: 2022 - 01 - 18
PROSDM: Applicability of PROSPECT model coupled with spectral derivatives and similarity metrics to retrieve leaf biochemical traits from bidirectional reflectanceLeaf biochemical traits provide valuable information on understanding plant photosynthetic function, dynamic growth, nutrient cycling, and primary production. Leaf chlorophyll content (Cab), carotenoid content (Cxc), water content (Cw), and dry matter content (Cm) are considered as four main important leaf biochemical traits, which are connected to plant healthy and growth status, such as photosynthesis, nitrogen, stresses, and senes...
release time: 2021 - 12 - 03
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
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