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https://www.readbyqxmd.com/read/29584703/abs-smartcomagri-an-agent-based-simulator-of-smart-communication-protocols-in-wireless-sensor-networks-for-debugging-in-precision-agriculture
#1
Iván García-Magariño, Raquel Lacuesta, Jaime Lloret
Smart communication protocols are becoming a key mechanism for improving communication performance in networks such as wireless sensor networks. However, the literature lacks mechanisms for simulating smart communication protocols in precision agriculture for decreasing production costs. In this context, the current work presents an agent-based simulator of smart communication protocols for efficiently managing pesticides. The simulator considers the needs of electric power, crop health, percentage of alive bugs and pesticide consumption...
March 27, 2018: Sensors
https://www.readbyqxmd.com/read/29563961/estimation-of-vegetation-indices-for-high-throughput-phenotyping-of-wheat-using-aerial-imaging
#2
Zohaib Khan, Vahid Rahimi-Eichi, Stephan Haefele, Trevor Garnett, Stanley J Miklavcic
Background: Unmanned aerial vehicles offer the opportunity for precision agriculture to efficiently monitor agricultural land. A vegetation index (VI) derived from an aerially observed multispectral image (MSI) can quantify crop health, moisture and nutrient content. However, due to the high cost of multispectral sensors, alternate, low-cost solutions have lately received great interest. We present a novel method for model-based estimation of a VI using RGB color images. The non-linear spatio-spectral relationship between the RGB image of vegetation and the index computed by its corresponding MSI is learned through deep neural networks...
2018: Plant Methods
https://www.readbyqxmd.com/read/29491881/detection-of-bacterial-infection-in-melon-plants-by-classification-methods-based-on-imaging-data
#3
Mónica Pineda, María L Pérez-Bueno, Matilde Barón
The bacterium Dickeya dadantii is responsible of important economic losses in crop yield worldwide. In melon leaves, D. dadantii produced multiple necrotic spots surrounded by a chlorotic halo, followed by necrosis of the whole infiltrated area and chlorosis in the surrounding tissues. The extent of these symptoms, as well as the day of appearance, was dose-dependent. Several imaging techniques (variable chlorophyll fluorescence, multicolor fluorescence, and thermography) provided spatial and temporal information about alterations in the primary and secondary metabolism, as well as the stomatal activity in the infected leaves...
2018: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29481952/engineered-chitosan-based-nanomaterials-bioactivity-mechanisms-and-perspectives-in-plant-protection-and-growth
#4
REVIEW
R V Kumaraswamy, Sarita Kumari, Ram Chandra Choudhary, Ajay Pal, Ramesh Raliya, Pratim Biswas, Vinod Saharan
Excess use of agrochemicals for enhancing crop production and its protection posed environmental and health concern. Integration of advanced technology is required to integrate that realizes the concept of precision agriculture by minimizing the input of pesticides and fertilizers per unit while improving the crop productivity. Notably, chitosan based biodegradable nanomaterials (NMs) including nanoparticles, nanogels and nanocomposites have eventually proceeded as a key choice in agriculture due to their inimitable properties like antimicrobial and plant growth promoting activities...
February 23, 2018: International Journal of Biological Macromolecules
https://www.readbyqxmd.com/read/29393921/specim-iq-evaluation-of-a-new-miniaturized-handheld-hyperspectral-camera-and-its-application-for-plant-phenotyping-and-disease-detection
#5
Jan Behmann, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp, Matheus T Kuska, Jouni Jussila, Harri Salo, Anne-Katrin Mahlein, Uwe Rascher
Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instance, hyperspectral sensors are implemented for stress detection in plant phenotyping processes or in precision agriculture. Up to date, a variety of non-imaging and imaging hyperspectral sensors is available. The measuring process and the handling of most of these sensors is rather complex...
February 2, 2018: Sensors
https://www.readbyqxmd.com/read/29382177/research-on-the-effects-of-drying-temperature-on-nitrogen-detection-of-different-soil-types-by-near-infrared-sensors
#6
Pengcheng Nie, Tao Dong, Yong He, Shupei Xiao
Soil is a complicated system whose components and mechanisms are complex and difficult to be fully excavated and comprehended. Nitrogen is the key parameter supporting plant growth and development, and is the material basis of plant growth as well. An accurate grasp of soil nitrogen information is the premise of scientific fertilization in precision agriculture, where near infrared sensors are widely used for rapid detection of nutrients in soil. However, soil texture, soil moisture content and drying temperature all affect soil nitrogen detection using near infrared sensors...
January 29, 2018: Sensors
https://www.readbyqxmd.com/read/29295536/a-low-cost-approach-to-automatically-obtain-accurate-3d-models-of-woody-crops
#7
José M Bengochea-Guevara, Dionisio Andújar, Francisco L Sanchez-Sardana, Karla Cantuña, Angela Ribeiro
Crop monitoring is an essential practice within the field of precision agriculture since it is based on observing, measuring and properly responding to inter- and intra-field variability. In particular, "on ground crop inspection" potentially allows early detection of certain crop problems or precision treatment to be carried out simultaneously with pest detection. "On ground monitoring" is also of great interest for woody crops. This paper explores the development of a low-cost crop monitoring system that can automatically create accurate 3D models (clouds of coloured points) of woody crop rows...
December 24, 2017: Sensors
https://www.readbyqxmd.com/read/29207510/a-combined-approach-of-sensor-data-fusion-and-multivariate-geostatistics-for-delineation-of-homogeneous-zones-in-an-agricultural-field
#8
Annamaria Castrignanò, Gabriele Buttafuoco, Ruggiero Quarto, Carolina Vitti, Giuliano Langella, Fabio Terribile, Accursio Venezia
To assess spatial variability at the very fine scale required by Precision Agriculture, different proximal and remote sensors have been used. They provide large amounts and different types of data which need to be combined. An integrated approach, using multivariate geostatistical data-fusion techniques and multi-source geophysical sensor data to determine simple summary scale-dependent indices, is described here. These indices can be used to delineate management zones to be submitted to differential management...
December 3, 2017: Sensors
https://www.readbyqxmd.com/read/29186057/development-of-spectral-disease-indices-for-flavescence-dor%C3%A3-e-grapevine-disease-identification
#9
Hania Al-Saddik, Jean-Claude Simon, Frederic Cointault
Spectral measurements are employed in many precision agriculture applications, due to their ability to monitor the vegetation's health state. Spectral vegetation indices are one of the main techniques currently used in remote sensing activities, since they are related to biophysical and biochemical crop variables. Moreover, they have been evaluated in some studies as potentially beneficial for detecting or differentiating crop diseases. Flavescence Dorée (FD) is an infectious, incurable disease of the grapevine that can produce severe yield losses and, hence, compromise the stability of the vineyards...
November 29, 2017: Sensors
https://www.readbyqxmd.com/read/29080499/visible-and-near-infrared-spectroscopy-coupled-to-random-forest-to-quantify-some-soil-quality-parameters
#10
Felipe Bachion de Santana, André Marcelo de Souza, Ronei Jesus Poppi
This study evaluates the use of visible and near infrared spectroscopy (Vis-NIRS) combined with multivariate regression based on random forest to quantify some quality soil parameters. The parameters analyzed were soil cation exchange capacity (CEC), sum of exchange bases (SB), organic matter (OM), clay and sand present in the soils of several regions of Brazil. Current methods for evaluating these parameters are laborious, timely and require various wet analytical methods that are not adequate for use in precision agriculture, where faster and automatic responses are required...
February 15, 2018: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/29053591/real-time-monitoring-of-water-content-in-sandy-soil-using-shear-mode-piezoceramic-transducers-and-active-sensing-a-feasibility-study
#11
Qingzhao Kong, Hongli Chen, Yi-Lung Mo, Gangbing Song
A quantitative understanding of soil water content or soil water status is of great importance to many applications, such as landslide monitoring, rockfill dam health monitoring, precision agriculture, etc. In this paper, a feasibility study was conducted to monitor the soil water content in real time using permanent embedded piezoceramic-based transducers called smart aggregates (SAs). An active sensing approach using a customized swept acoustic wave with a frequency range between 100 Hz and 300 kHz was used to study the wave attenuation in the soil in correlation to soil moisture levels...
October 20, 2017: Sensors
https://www.readbyqxmd.com/read/29048392/terahertz-spectroscopy-for-proximal-soil-sensing-an-approach-to-particle-size-analysis
#12
Volker Dworak, Benjamin Mahns, Jörn Selbeck, Robin Gebbers, Cornelia Weltzien
Spatially resolved soil parameters are some of the most important pieces of information for precision agriculture. These parameters, especially the particle size distribution (texture), are costly to measure by conventional laboratory methods, and thus, in situ assessment has become the focus of a new discipline called proximal soil sensing. Terahertz (THz) radiation is a promising method for nondestructive in situ measurements. The THz frequency range from 258 gigahertz (GHz) to 350 GHz provides a good compromise between soil penetration and the interaction of the electromagnetic waves with soil compounds...
October 19, 2017: Sensors
https://www.readbyqxmd.com/read/28985063/personalized-medicine-for-crops-opportunities-for-the-application-of-molecular-recognition-in-agriculture
#13
Emily Mastronardi, Carlos Monreal, Maria C DeRosa
This perspective examines the detection of rhizosphere biomarkers, namely root exudates and microbial metabolites, using molecular recognition elements such as molecularly imprinted polymers, antibodies, and aptamers. Tracking these compounds in the rhizosphere could provide valuable insight into the status of the crop and soil in a highly localized way. The outlook and potential impact of the combination of molecular recognition and other innovations such as nanotechnology and precision agriculture and the comparison to advances in personalized medicine are considered...
October 6, 2017: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/28961254/statistical-modelling-for-precision-agriculture-a-case-study-in-optimal-environmental-schedules-for-agaricus-bisporus-production-via-variable-domain-functional-regression
#14
Efstathios Panayi, Gareth W Peters, George Kyriakides
Quantifying the effects of environmental factors over the duration of the growing process on Agaricus Bisporus (button mushroom) yields has been difficult, as common functional data analysis approaches require fixed length functional data. The data available from commercial growers, however, is of variable duration, due to commercial considerations. We employ a recently proposed regression technique termed Variable-Domain Functional Regression in order to be able to accommodate these irregular-length datasets...
2017: PloS One
https://www.readbyqxmd.com/read/28924448/comparison-of-visible-imaging-thermography-and-spectrometry-methods-to-evaluate-the-effect-of-heterodera-schachtii-inoculation-on-sugar-beets
#15
Samuel Joalland, Claudio Screpanti, Frank Liebisch, Hubert Vincent Varella, Alain Gaume, Achim Walter
BACKGROUND: Phenotyping technologies are expected to provide predictive power for a range of applications in plant and crop sciences. Here, we use the disease pressure of Beet Cyst Nematodes (BCN) on sugar beet as an illustrative example to test the specific capabilities of different methods. Strong links between the above and belowground parts of sugar beet plants have made BCN suitable targets for use of non-destructive phenotyping methods. We compared the ability of visible light imaging, thermography and spectrometry to evaluate the effect of BCN on the growth of sugar beet plants...
2017: Plant Methods
https://www.readbyqxmd.com/read/28923297/quick-analysis-of-organic-matter-in-soil-by-energy-dispersive-x-ray-fluorescence-and-multivariate-analysis
#16
Franslley Morona, Felipe R Dos Santos, André M Brinatti, Fábio L Melquiades
The rapid, simple and accurate determination of soil quality indicators is fundamental for improvements in precision agriculture and consequently in production efficiency. The objectives of this study were to determine the organic matter (OM) and total organic carbon (TOC) concentrations in agricultural soil and to discriminate soil provenance by energy-dispersive X-ray fluorescence (EDXRF) combined with principal component analysis and partial least square regression. The conventional methods used for the determination of OM and TOC concentrations are the gravimetric and Walkley-Black methods, respectively...
December 2017: Applied Radiation and Isotopes
https://www.readbyqxmd.com/read/28906428/spatial-scale-gap-filling-using-an-unmanned-aerial-system-a-statistical-downscaling-method-for-applications-in-precision-agriculture
#17
Leila Hassan-Esfahani, Ardeshir M Ebtehaj, Alfonso Torres-Rua, Mac McKee
Applications of satellite-borne observations in precision agriculture (PA) are often limited due to the coarse spatial resolution of satellite imagery. This paper uses high-resolution airborne observations to increase the spatial resolution of satellite data for related applications in PA. A new variational downscaling scheme is presented that uses coincident aerial imagery products from "AggieAir", an unmanned aerial system, to increase the spatial resolution of Landsat satellite data. This approach is primarily tested for downscaling individual band Landsat images that can be used to derive normalized difference vegetation index (NDVI) and surface soil moisture (SSM)...
September 14, 2017: Sensors
https://www.readbyqxmd.com/read/28877196/predicting-active-layer-soil-thickness-using-topographic-variables-at-a-small-watershed-scale
#18
Aidi Li, Xing Tan, Wei Wu, Hongbin Liu, Jie Zhu
Knowledge about the spatial distribution of active-layer (AL) soil thickness is indispensable for ecological modeling, precision agriculture, and land resource management. However, it is difficult to obtain the details on AL soil thickness by using conventional soil survey method. In this research, the objective is to investigate the possibility and accuracy of mapping the spatial distribution of AL soil thickness through random forest (RF) model by using terrain variables at a small watershed scale. A total of 1113 soil samples collected from the slope fields were randomly divided into calibration (770 soil samples) and validation (343 soil samples) sets...
2017: PloS One
https://www.readbyqxmd.com/read/28835103/nanofertilizer-for-precision-and-sustainable-agriculture-current-state-and-future-perspectives
#19
Ramesh Raliya, Vinod Saharan, Christian Dimkpa, Pratim Biswas
The increasing food demand due to the rising global population has prompted the large-scale use of fertilizers. Due to resource constraints and low use efficiency of fertilizers, the cost to the farmer is increasing dramatically. Nanotechnology offers a great potential to tailor fertilizer production with the desired chemical composition, improve the nutrient use efficiency that may reduce environmental impact and boost the plant productivity. Furthermore, controlled release and targeted delivery of nanoscale active ingredients can realize the potential of sustainable and precision agriculture...
August 23, 2017: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/28834395/charting-the-genotype-phenotype-map-lessons-from-the-drosophila-melanogaster-genetic-reference-panel
#20
REVIEW
Trudy F C Mackay, Wen Huang
Understanding the genetic architecture (causal molecular variants, their effects, and frequencies) of quantitative traits is important for precision agriculture and medicine and predicting adaptive evolution, but is challenging in most species. The Drosophila melanogaster Genetic Reference Panel (DGRP) is a collection of 205 inbred strains with whole genome sequences derived from a single wild population in Raleigh, NC, USA. The large amount of quantitative genetic variation, lack of population structure, and rapid local decay of linkage disequilibrium in the DGRP and outbred populations derived from DGRP lines present a favorable scenario for performing genome-wide association (GWA) mapping analyses to identify candidate causal genes, polymorphisms, and pathways affecting quantitative traits...
January 2018: Wiley Interdisciplinary Reviews. Developmental Biology
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