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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
#1
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
#2
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
#3
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...
October 19, 2017: 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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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...
September 8, 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
#10
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
#11
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
#12
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
#13
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...
August 22, 2017: Wiley Interdisciplinary Reviews. Developmental Biology
https://www.readbyqxmd.com/read/28771214/energy-efficient-wireless-sensor-networks-for-precision-agriculture-a-review
#14
REVIEW
Haider Mahmood Jawad, Rosdiadee Nordin, Sadik Kamel Gharghan, Aqeel Mahmood Jawad, Mahamod Ismail
Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases...
August 3, 2017: Sensors
https://www.readbyqxmd.com/read/28694843/quantifying-pruning-impacts-on-olive-tree-architecture-and-annual-canopy-growth-by-using-uav-based-3d-modelling
#15
F M Jiménez-Brenes, F López-Granados, A I de Castro, J Torres-Sánchez, N Serrano, J M Peña
BACKGROUND: Tree pruning is a costly practice with important implications for crop harvest and nutrition, pest and disease control, soil protection and irrigation strategies. Investigations on tree pruning usually involve tedious on-ground measurements of the primary tree crown dimensions, which also might generate inconsistent results due to the irregular geometry of the trees. As an alternative to intensive field-work, this study shows a innovative procedure based on combining unmanned aerial vehicle (UAV) technology and advanced object-based image analysis (OBIA) methodology for multi-temporal three-dimensional (3D) monitoring of hundreds of olive trees that were pruned with three different strategies (traditional, adapted and mechanical pruning)...
2017: Plant Methods
https://www.readbyqxmd.com/read/28605605/nanosensor-technology-applied-to-living-plant-systems
#16
REVIEW
Seon-Yeong Kwak, Min Hao Wong, Tedrick Thomas Salim Lew, Gili Bisker, Michael A Lee, Amir Kaplan, Juyao Dong, Albert Tianxiang Liu, Volodymyr B Koman, Rosalie Sinclair, Catherine Hamann, Michael S Strano
An understanding of plant biology is essential to solving many long-standing global challenges, including sustainable and secure food production and the generation of renewable fuel sources. Nanosensor platforms, sensors with a characteristic dimension that is nanometer in scale, have emerged as important tools for monitoring plant signaling pathways and metabolism that are nondestructive, minimally invasive, and capable of real-time analysis. This review outlines the recent advances in nanotechnology that enable these platforms, including the measurement of chemical fluxes even at the single-molecule level...
June 12, 2017: Annual Review of Analytical Chemistry
https://www.readbyqxmd.com/read/28603692/nanotechnology-the-new-perspective-in-precision-agriculture
#17
REVIEW
Joginder Singh Duhan, Ravinder Kumar, Naresh Kumar, Pawan Kaur, Kiran Nehra, Surekha Duhan
Nanotechnology is an interdisciplinary research field. In recent past efforts have been made to improve agricultural yield through exhaustive research in nanotechnology. The green revolution resulted in blind usage of pesticides and chemical fertilizers which caused loss of soil biodiversity and developed resistance against pathogens and pests as well. Nanoparticle-mediated material delivery to plants and advanced biosensors for precision farming are possible only by nanoparticles or nanochips. Nanoencapsulated conventional fertilizers, pesticides and herbicides helps in slow and sustained release of nutrients and agrochemicals resulting in precise dosage to the plants...
September 2017: Biotechnology Reports
https://www.readbyqxmd.com/read/28492480/detection-of-soil-nitrogen-using-near-infrared-sensors-based-on-soil-pretreatment-and-algorithms
#18
Pengcheng Nie, Tao Dong, Yong He, Fangfang Qu
Soil nitrogen content is one of the important growth nutrient parameters of crops. It is a prerequisite for scientific fertilization to accurately grasp soil nutrient information in precision agriculture. The information about nutrients such as nitrogen in the soil can be obtained quickly by using a near-infrared sensor. The data can be analyzed in the detection process, which is nondestructive and non-polluting. In order to investigate the effect of soil pretreatment on nitrogen content by near infrared sensor, 16 nitrogen concentrations were mixed with soil and the soil samples were divided into three groups with different pretreatment...
May 11, 2017: Sensors
https://www.readbyqxmd.com/read/28484343/uncertainty-quantification-and-optimal-decisions
#19
REVIEW
C L Farmer
A mathematical model can be analysed to construct policies for action that are close to optimal for the model. If the model is accurate, such policies will be close to optimal when implemented in the real world. In this paper, the different aspects of an ideal workflow are reviewed: modelling, forecasting, evaluating forecasts, data assimilation and constructing control policies for decision-making. The example of the oil industry is used to motivate the discussion, and other examples, such as weather forecasting and precision agriculture, are used to argue that the same mathematical ideas apply in different contexts...
April 2017: Proceedings. Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28346499/a-farm-level-precision-land-management-framework-based-on-integer-programming
#20
Qi Li, Guiping Hu, Talukder Zaki Jubery, Baskar Ganapathysubramanian
Farmland management involves several planning and decision making tasks including seed selection and irrigation management. A farm-level precision farmland management model based on mixed integer linear programming is proposed in this study. Optimal decisions are designed for pre-season planning of crops and irrigation water allocation. The model captures the effect of size and shape of decision scale as well as special irrigation patterns. The authors illustrate the model with a case study on a farm in the state of California in the U...
2017: PloS One
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