Results 91 to 100 of about 298,041 (302)
Chlorophyll breakdown and chlorophyll catabolites in leaves and fruit [PDF]
Chlorophyll metabolism probably is the most visible manifestation of life. Total annual turnover of chlorophyll has been estimated to involve more than 1000 million tons. Surprisingly, chlorophyll catabolism has remained an enigma until less than twenty years ago, when a colorless chlorophyll catabolite from senescent plant leaves was identified and ...
openaire +2 more sources
Agronomic and Nutritional Perspectives on Vegetable Crops in Africa
Vegetable production plays a key role in food security, nutrition, and livelihoods across Africa. Moreover, African indigenous vegetables emerge as underutilized yet highly valuable crops, rich in macro‐ and micronutrients, as well as bioactive compounds with an array of health benefits.
Đorđe Vojnović +4 more
wiley +1 more source
Is Precision Agriculture Technology Adoption Persistently Overestimated?
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone +5 more
wiley +1 more source
This paper presents the results of a study of the spectral characteristics of the green leaves of houseplants, «enriched» with silver nanoparticles. The dimensions of nanoparticles corresponded to 80 nm, the shape — spherical.
K.М. Makhanov +4 more
doaj
The dataset consists of chlorophyll-a concentration data collected from 33 sites using AP-7000 sensors.
Youliang Chen (13925427)
core +1 more source
Chlorophyll-a, -b and -c at niskin bottle station ANTARES-IV_070
Chlorophyll-a, -b and -c at niskin bottle station ANTARES ...
Michel Fiala (7886531), Fiala, Michel
core +1 more source
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
wiley +1 more source
This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil +4 more
wiley +1 more source
Multimodal Mixed Reality for In‐Field Visualization of RGB‐Based Vegetation Indices
Evaluating crop physiological health in field environments remains constrained by offline data processing or static 2D displays, limiting real‐time spatial interpretation. This paper presents a novel mixed reality framework that calculates, normalizes, and visualizes 20 RGB‐based vegetation indices directly in agricultural fields using consumer‐grade ...
Caio Mucchiani, Konstantinos Karydis
wiley +1 more source
The data and results of the UK second application of the OSPAR Common Procedure (COMP) for eutrophication were used as a case study to develop a generic system (i) to evaluate an observational network from a multi-variable point of view, (ii) to ...
Luz María García-García +5 more
doaj +1 more source

