Early detection of grapevine viral diseases is critical for early interventions in order to prevent the disease from spreading entire vineyard. Hyperspectral remote sensing can potentially detect and quantify a nondestructive manner. This study utilized hyperspectral imagery at plant level identify classify grapevines inoculated with newly discovered DNA virus vein-clearing (GVCV) asymptomatic stages. An experiment was set up test site South Farm Research Center, Columbia, MO, USA (38.92 N,...

Early detection of water stress is critical for precision farming improving crop productivity and fruit quality. To investigate varying rootstock irrigation interactions in an open agricultural ecosystem, different treatments were implemented a vineyard experimental site either: (i) nonirrigated (NIR); (ii) with full replacement evapotranspiration (FIR); or (iii) intermediate (INT, 50% evapotranspiration). In the summers 2014 2015, we collected leaf reflectance factor spectra using field...

Leaf chlorophyll concentration (LCC) is an important indicator of plant health, vigor, physiological status, productivity, and nutrient deficiencies. Hyperspectral spectroscopy at leaf level has been widely used to estimate LCC accurately non-destructively. This study utilized leaf-level hyperspectral data with derivative calculus machine learning sorghum. We calculated fractional (FD) orders starting from 0.2 2.0 order increments. Additionally, 43 common vegetation indices (VIs) were...

Abstract. Early stress detection is critical for proactive field management and terminal yield prediction, can aid policy making improved food security in the context of climate change population growth. Field surveys crop monitoring are destructive, labor-intensive, time-consuming not ideal large-scale spatial temporal monitoring. Recent technological advances Unmanned Aerial Vehicle (UAV) high-resolution satellite imaging with frequent revisit time have proliferated applications this...

Soil salinization is one of the most widespread soil degradation processes on Earth, especially in arid and semi-arid areas. The salinized to Xinjiang Uyghur Autonomous Region China accounts for 31% area cultivated land, thus it pivotal sustainable agricultural development identify reliable cost-effective methodologies monitor spatial temporal variations salinity. This objective was accomplished over study (Keriya River Basin, northwestern China) by adopting technologies that heavily rely...

Reliable assessment of grapevine productivity is a destructive and time-consuming process. In addition, the mixed effects water status scion-rootstock interactions on are not always linear. Despite potential opportunity applying remote sensing machine learning techniques to predict plant traits, there still limitations previously studied for vine due complexity system being adequately modeled. During 2014 2015 growing seasons, hyperspectral reflectance spectra were collected using handheld...

Efficient and accurate methods to monitor crop physiological responses help growers better understand physiology improve productivity. In recent years, developments in unmanned aerial vehicles (UAV) sensor technology have enabled image acquisition at very-high spectral, spatial, temporal resolutions. However, potential applications limitations of very-high-resolution (VHR) hyperspectral thermal UAV imaging for characterization plant diurnal remain largely unknown, due issues related shadow...

In this paper, grid cell based spatial statistics were used to quantify the drivers of land-cover and land-use change (LCLUC) habitat degradation in a tropical rainforest Madagascar. First, spectral database various information was compiled using multi-year field campaign data photointerpretation satellite images. Next, residential areas extracted from IKONOS-2 GeoEye-1 images object oriented feature extraction (OBIA). Then, Landsat Thematic Mapper (TM) Enhanced Plus (ETM+) generate maps...

Abstract Premise There is considerable variation in leaf lobing and size, including among grapevines, some of the most well-studied leaves. We examined relationship between size across grapevine populations which varied extent lobing. Methods used homologous landmarking techniques to measure 2,632 leaves two years 476 unique, genetically distinct grapevines from 5 biparental crosses vary primarily determined what area could explain lobing, vein length, blade ratio. Results Although was...

Abstract Several North American Vitis species are used to breed scions and rootstocks, including V. riparia rupestris. However, the degree which can be distinguished using remote sensing is not well known. Here we explore whether two genotypes growing in a common garden discriminated with leaf canopy hyperspectral reflectance factor data (350-2500 nm) independent t-test derivative analysis. Foliar properties spectral indices of grapevines were evaluated analysis variance (ANOVA) pair-wise...

Grapevine leaves have diverse shapes and sizes which are influenced by many factors including genetics, vine phytosanitary status, environment, leaf age, node position on the shoot. To determine relationship between grapevine shape or size canopy temperature, we examined five seedling populations grown in a vineyard California, USA. The had one parent with compound of Vitis piasezkii type different second non-compound leaves. In previous work, measured collected from these using 21...

Leaf lobing and leaf size vary considerably across within species, including among grapevines (Vitis spp.), some of the best-studied leaves. We examined relationship between area grapevine populations that varied in extent lobing.We used homologous landmarking techniques to measure 2632 leaves 2 years 476 unique, genetically distinct from five biparental crosses primarily lobing. determined what explained variation lobing, vein length, blade ratio.Although was primary source shape we...

The effects of increasing ambient ozone (O3) concentrations on food security has become a major concern as the demand for agricultural productivity is projected to increase significantly over next several decades. In this contribution, responses common soybean genotypes (AK-HARROW, PI88788, DWIGHT, PANA, and WILLIAMS82) O3 are characterized using hyperspectral data foliar biophysical, mineral nutrient yield. Specifically, leaf reflectance spectra measured at different growth stages canopy...

Remotely-sensed identification of ozone stress in crops can allow for selection resistant genotypes, improving yields. This is critical as population, food demand, and background tropospheric are projected to increase over the next several decades. Visual scores common damage have been used identify ozone-stress bio-indicator plants. paper evaluates use a visual scoring metric applied soybeans. The leaves then combined with hyperspectral data spectral indices specific damage. Two genotypes...

We examine the spectral signatures and foliar biophysical biogeochemical properties of different soybean cultivars that are known to be sensitive in varying degrees background concentrations ozone (O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ). Specifically, potential plant variables from leaf reflectance spectra, including chlorophyll index, photochemical area detect O damage is explored. The study was conducted at an agricultural...

Loose deposits may lead to catastrophic landslides and rockslides especially during or after heavy rainfall events. In this paper, we propose a method estimate the volume spatial distribution (VSD) of loose using airborne spaceborne optical remote sensing data Interferometric Synthetic Aperture Radar (InSAR) coherence. The estimated VSD coseismic in Wenchuan, China, epicenter Sichuan Earthquake, is then used predict potential landslides. First, high-resolution digital elevation models (DEMs)...

In this contribution, we examine the potential of using field spectroscopy to discriminate responses five soybean cultivars background ozone concentration. Statistical analysis hyperspectral data including one-way variance (ANOVA) and spectral instability (ISI) were used identify most effective wavelengths in mapping differentiating with different tolerance damage. Our results show several distinctive regions that can be for crop type within species level, quantifying effects damage at leaf...