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https://www.readbyqxmd.com/read/28985063/personalized-medicine-for-crops-opportunities-for-the-application-of-molecular-recognition-in-agriculture
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
https://www.readbyqxmd.com/read/28289423/automated-method-to-determine-two-critical-growth-stages-of-wheat-heading-and-flowering
#16
Pouria Sadeghi-Tehran, Kasra Sabermanesh, Nicolas Virlet, Malcolm J Hawkesford
Recording growth stage information is an important aspect of precision agriculture, crop breeding and phenotyping. In practice, crop growth stage is still primarily monitored by-eye, which is not only laborious and time-consuming, but also subjective and error-prone. The application of computer vision on digital images offers a high-throughput and non-invasive alternative to manual observations and its use in agriculture and high-throughput phenotyping is increasing. This paper presents an automated method to detect wheat heading and flowering stages, which uses the application of computer vision on digital images...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28134822/superframe-duration-allocation-schemes-to-improve-the-throughput-of-cluster-tree-wireless-sensor-networks
#17
Erico Leão, Carlos Montez, Ricardo Moraes, Paulo Portugal, Francisco Vasques
The use ofWireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable topology to build wide-scale WSNs. Despite some of its known advantages, including timing synchronisation and duty-cycle operation, cluster-tree networks may suffer from severe network congestion problems due to the convergecast pattern of its communication traffic...
January 27, 2017: Sensors
https://www.readbyqxmd.com/read/27994607/multicolor-fluorescence-imaging-as-a-candidate-for-disease-detection-in-plant-phenotyping
#18
María L Pérez-Bueno, Mónica Pineda, Francisco M Cabeza, Matilde Barón
The negative impact of conventional farming on environment and human health make improvements on farming management mandatory. Imaging techniques are implemented in remote sensing for monitoring crop fields and plant phenotyping programs. The increasingly large size and complexity of the data obtained by these techniques, makes the implementation of powerful mathematical tools necessary in order to identify informative parameters and to apply them in precision agriculture. Multicolor fluorescence imaging is a useful approach for the study of plant defense responses to stress factors at bench scale...
2016: Frontiers in Plant Science
https://www.readbyqxmd.com/read/27973404/crop-phenology-detection-using-high-spatio-temporal-resolution-data-fused-from-spot5-and-modis-products
#19
Yang Zheng, Bingfang Wu, Miao Zhang, Hongwei Zeng
Timely and efficient monitoring of crop phenology at a high spatial resolution are crucial for the precise and effective management of agriculture. Recently, satellite-derived vegetation indices (VIs), such as the Normalized Difference Vegetation Index (NDVI), have been widely used for the phenology detection of terrestrial ecosystems. In this paper, a framework is proposed to detect crop phenology using high spatio-temporal resolution data fused from Systeme Probatoire d'Observation de la Tarre5 (SPOT5) and Moderate Resolution Imaging Spectroradiometer (MODIS) images...
December 10, 2016: Sensors
https://www.readbyqxmd.com/read/27941704/node-deployment-with-k-connectivity-in-sensor-networks-for-crop-information-full-coverage-monitoring
#20
Naisen Liu, Weixing Cao, Yan Zhu, Jingchao Zhang, Fangrong Pang, Jun Ni
Wireless sensor networks (WSNs) are suitable for the continuous monitoring of crop information in large-scale farmland. The information obtained is great for regulation of crop growth and achieving high yields in precision agriculture (PA). In order to realize full coverage and k-connectivity WSN deployment for monitoring crop growth information of farmland on a large scale and to ensure the accuracy of the monitored data, a new WSN deployment method using a genetic algorithm (GA) is here proposed. The fitness function of GA was constructed based on the following WSN deployment criteria: (1) nodes must be located in the corresponding plots; (2) WSN must have k-connectivity; (3) WSN must have no communication silos; (4) the minimum distance between node and plot boundary must be greater than a specific value to prevent each node from being affected by the farmland edge effect...
December 9, 2016: Sensors
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