Search
Search Results
-
Spectral Reflectance Measurements
This chapter provides a methodology for evaluating plant health and leaf characteristics using spectral reflectance. It provides a step-by-step guide...
-
Characterizing Diploid and Tetraploid Potato Cultivars with Reflectance Spectroscopy
Characterizing potato cultivars is essential for diagnosing the specific production and management requirements. Employing techniques that facilitate...
-
Evaluating potential of leaf reflectance spectra to monitor plant genetic variation
Remote sensing of vegetation by spectroscopy is increasingly used to characterize trait distributions in plant communities. How leaves interact with...
-
Early detection of bacterial wilt in bananas caused by Ralstonia solanacearum using reflectance spectroscopy
Bacterial wilt is one of the most important vascular diseases that generate high worldwide losses. The main strategy to control it involves early...
-
Reflectance spectroscopy as a promising tool for ‘sensing’ metals in hyperaccumulator plants
Main conclusionThe VNIR reflectance spectra of nickel hyperaccumulator plant leaves have spectral variations due to high nickel concentrations...
-
Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing
BackgroundVegetation spectral reflectance obtained with hyperspectral imaging (HSI) offer non-invasive means for the non-destructive study of their...
-
Spectral reflectance and fluorescence is a rapid, non-destructive tool for drought tolerance monitoring in Withania somnifera (L.) Dunal
Withania somnifera plants were exposed to drought stress for 23 days. Relative water content (RWC), gaseous exchange, fluorescence parameters, and...
-
Reflectance-based non-destructive assessment of total carotenoids in tomato fruits
Carotenoids in tomato fruit are major antioxidants and they serve as an important nutritional constituent for human diet. Non-destructive method for...
-
Reflectance based non-destructive assessment of tomato fruit firmness
Tomato fruit firmness is an important quality parameter as it plays decisive role in its preference and acceptability by the consumers. So,...
-
Leaf chlorophyll fluorescence and reflectance of oakleaf lettuce exposed to metal and metal(oid) oxide nanoparticles
BackgroundMost nanoparticles (NPs) have a significant impact on the structure and function of the plant photosynthetic apparatus. However, their...
-
A predictive model of wheat grain yield based on canopy reflectance indices and theoretical definition of yield potential
Predicting crop yields through simple methods would be helpful for crop breeding programs and could be deployed at farm level to achieve accurate...
-
Assessing the Effectiveness of Reflectance Spectroscopy Analysis to Determine Ploidy in Potato
While potato is an immensely important crop worldwide, its highly heterozygous, autotetraploid nature limits breeding progress. Converting potato to...
-
Improved retrieval of phylogenetic signals from normalized foliar reflectance spectra in Neotropical forest gaps
Distinct data pre-processing techniques affect features derived from spectral data, such as the occurrence of phylogenetic signals in the foliar...
-
Estimation of Iron Content Using Reflectance Spectroscopy in a Complex Soil System After a Loss-on-Ignition Pre-treatment
Reflectance spectroscopy across the 400–2500 nm region is an important source of data for the approximation of soil attributes. Modeling is based on...
-
Reflectance Based Models for Non-Destructive Prediction of Lycopene Content in Tomato Fruits
Lycopene is a pigment present in tomato fruits with multiple health benefits. Thereby, non-destructive and simple methods of lycopene estimation are...
-
Hyperspectral reflectance imaging for water content and firmness prediction of potatoes by optimum wavelengths
This article presents a method for nondestructively determining water content and firmness of potatoes using hyperspectral imaging (HSI) in the...
-
Discrimination of plant pathogenic fungi using attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics
Plant pathogenic fungi are the main causative agents of diseases associated with significant productivity and economic losses in agriculture. Thus,...
-
A Non-invasive Stem Water Potential Monitoring Method Using Proximate Sensor and Machine Learning Classification Algorithms
This chapter introduces a novel method for non-invasive monitoring of stem water potential using proximate sensors and machine learning...
-
Chickpea leaf water potential estimation from ground and VENµS satellite
Chickpea ( Cicer arietinum L.) is a major grain legume grown worldwide as a staple protein source. Traditionally, it is a rain-fed crop, but...
-
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat
Water is one of the essential factors for crop growth and development. Rapid and non-destructive monitoring of winter wheat water status is crucial...
