Relevant bibliographies by topics / Yield mapping

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  2. Dissertations / Theses
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Academic literature on the topic 'Yield mapping'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Yield mapping"

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Konopatzki, M. R. S., E. G. Souza, L. H. P. Nóbrega, M. A. Uribe-Opazo, G. Suszek, S. Rodrigues, and E. F. de Oliveira. "PEAR TREE YIELD MAPPING." Acta Horticulturae, no. 824 (April 2009): 303–12. http://dx.doi.org/10.17660/actahortic.2009.824.36.

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Hollist, Ray R., Ronald H. Campbell, and Robert Campbell. "Yield Mapping of Vegetable Crops." HortScience 32, no. 3 (June 1997): 503D—503. http://dx.doi.org/10.21273/hortsci.32.3.503d.

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Over the past few years, grain yield monitors have gained a significant hold in the market place. While the largest share of production agriculture acres are devoted to producing grain crops, high-value crops such as potatoes, tomatoes, sugarbeets, onions, and many others will benefit considerably by application of site-specific technology. Yield mapping is one of the tools that utilizes GPS technology and allows us to visualize our farms as an array of tiny parcels instead of one uniform aggregate. Yield mapping is simple, accurate measurement of yield at precise positions, the data from which is used to give us a visual report card of each parcel in that field. While yield mapping will not provide the entire basis of site-specific agriculture management, it begins to give a picture of how understanding spatial variation will revolutionize management of high-value crop production acres. The tools necessary to make yield measurements are now available. When combined with Differential GPS, the yield map becomes a powerful tool to identify atypical areas in the field. Without DGPS the process of identifying and treating areas within a field individually would be a nearly impossible task, and certainly cost-prohibitive. Identification of the spatial distribution of yield will contribute significantly to a grower's ability to make informed management decisions.
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Dennis, S. J., A. L. Taylor, K. O'Neill, W. Clarke-Hill, R. A. Dynes, N. Cox, C. Van Koten, and T. W. D. Jowett. "Pasture yield mapping: why & how." Journal of New Zealand Grasslands 77 (January 1, 2015): 41–46. http://dx.doi.org/10.33584/jnzg.2015.77.481.

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Spatial variation in pasture yield within a single paddock can be high. Measuring this variation has many potential benefits. For instance, cost-effective targeted treatments could be applied to low yielding areas resulting in increased pasture yield at a paddock scale with minimal cost. Understanding pasture yield variation requires tools that can measure it, and practical methodologies to guide how and when to use these tools to obtain useful data. The study reported here aimed to develop measurement protocols for using the C-Dax pasture meter to map yields of rotationally grazed pastures. The general principles should be applicable to other measurement tools. The pattern of pasture yield varies throughout the year. Because growing conditions change with the seasons, areas of a paddock that perform well in summer may perform poorly in winter, and vice-versa. Time of year is therefore an important consideration for measurement purposes. The recommended protocol developed from this project to estimate the spatial variation in annual yield on a paddock is to: • map 1 month following peak pasture growth rates; • drive at up to 50 m run spacings, but close enough to cover all features of interest; and • map as close to the grazing event as possible within the final third of the regrowth period. Keywords: Yield mapping, pasture, precision agriculture, pasture height, dairy, spatial management
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Kumar, N., P. L. Kulwal, H. S. Balyan, and P. K. Gupta. "QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat." Molecular Breeding 19, no. 2 (October 25, 2006): 163–77. http://dx.doi.org/10.1007/s11032-006-9056-8.

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Zhang, Tianyi, and Xiaoguang Yang. "Mapping Chinese Rice Suitability to Climate Change." Journal of Agricultural Science 8, no. 6 (May 10, 2016): 33. http://dx.doi.org/10.5539/jas.v8n6p33.

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<p>Climate change has the potential to affect Chinese rice production; however, the rice crop could become more suitable to new climatic conditions because of benefits derived from new agricultural technologies. In this paper, a county-level dataset and crop model were used to analyze actual rice yield suitability by measuring the yield gap and yield stability from 1980 to 2011 in 1561 counties of China. The results showed that the national yield gap between the actual and potential yields was approximately 23.0%, which is close to the threshold for profitable planting. However, a number of counties in the northeastern and southwestern regions showed a 30 to 50% yield gap, which indicates a relatively lower suitability of the rice. The rice yield stability results indicated that the actual stability has exceeded the potential stability in most of the counties of China, thus indicating a high level of suitability. Temporally, a decreasing trend was observed for both the yield gap and stability, suggesting that the suitability of rice in China has improved, which might be associated with the development of agricultural technology. The only noteworthy locations presenting a high yield gap and yield instability were several counties in the northeastern region. Since the northeastern region accounts for a significant proportion of China's rice production, further investigations should be conducted to identify the underlying causes of the yield gaps and determine methods of increasing the yield stability. The implementation of more suitable agricultural technology in the area is also suggested to improve the rice suitability in the region.</p>
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Abramov, N. V. "Yield mapping using satellite navigation systems." IOP Conference Series: Materials Science and Engineering 537 (June 18, 2019): 062022. http://dx.doi.org/10.1088/1757-899x/537/6/062022.

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Auernhammer, H., M. Demmel, T. Muhr, J. Rottmeier, and K. Wild. "GPS for yield mapping on combines." Computers and Electronics in Agriculture 11, no. 1 (October 1994): 53–68. http://dx.doi.org/10.1016/0168-1699(94)90052-3.

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Maltsev, K. A., O. P. Yermolaev, and V. V. Mozzherin. "Suspended sediment yield mapping of Northern Eurasia." Proceedings of the International Association of Hydrological Sciences 367 (March 3, 2015): 326–32. http://dx.doi.org/10.5194/piahs-367-326-2015.

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Abstract. The mapping of river sediment yields at continental or global scale involves a number of technical difficulties that have largely been ignored. The maps need to show the large zonal peculiarities of river sediment yields, as well as the level (smoothed) local anomalies. This study was carried out to create a map of river sediment yields for Northern Eurasia (within the boundaries of the former Soviet Union, 22 × 106 km2) at a scale of 1:1 500 000. The data for preparing the map were taken from the long-term observations recorded at more than 1000 hydrological stations. The data have mostly been collected during the 20th century by applying a single method. The creation of this map from the study of river sediment yield is a major step towards enhancing international research on understanding the mechanical denudation of land due mainly to erosion.
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Kroulík, M., M. Mimra, F. Kumhála, and V. Prošek. "Mapping spatial variability of soil properties and yield by using geostatic method." Research in Agricultural Engineering 52, No. 1 (February 7, 2012): 17–24. http://dx.doi.org/10.17221/4875-rae.

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The&nbsp; Czech University of Agriculture in Prague (CUA) Farm at L&aacute;ny started with precision farming technology several years ago. In the first step the yield and nutrients content were monitored. For precision application development, detailed description of soil conditions and interrelationship will be necessary. Pulling force and soil electric conductivity measurement as indirect measuring methods were used for mapping spatial soil variability. These methods demonstrate other ways for description of complex soil media.
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Panneton, Bernard. "Yield Mapping and GIS for Root Crops." HortScience 33, no. 3 (June 1998): 552b—552. http://dx.doi.org/10.21273/hortsci.33.3.552b.

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I will show how yield mapping data, aerial photography data, and other agronomic data (fertility, soil parameters) can be integrated into a Geographical Information System (GIS) and give a “feel” of the value of these tools to look at crop production as a whole. The capability of GIS in handling and displaying several layers of georeferenced data leads naturally to a decisionmaking process quite similar to the one used in traditional photo interpretation of aerial imagery. This approach can be very valuable for farm managers and consultants in crop production.
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Dissertations / Theses on the topic "Yield mapping"

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Annamalai, Palaniappan. "Citrus yield mapping system using machine vision." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0006901.

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Cox, Graeme J. "A yield mapping system for sugar cane chopper harvesters." University of Southern Queensland, Faculty of Engineering and Surveying, 2002. http://eprints.usq.edu.au/archive/00004617/.

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[Abstract]: Yield maps provide essential information for the spatial analysis and evaluation of crop production management at a within field level. Technology has been developed to conduct yield mapping in various crops including grain, potatoes and forage, but as yet no technology exists for yield mapping sugar cane. The chopper harvester is the most common form ofmechanical harvester for sugar cane. Therefore, the goal of this research is to develop a yield mapping system for the chopper type sugar cane harvester.After a review, it is proposed that a suitable accuracy goal for the sugar cane mass flow sensor would be ‘less than 5% cumulative measurement error, 95% of the time (2 standard deviations), measured over a 100m2 harvest area’.Existing mass flow sensors for other crops are reviewed.Based on this review four potential techniques are proposed to measure the mass flow rate of sugar cane. These were defined as the chopper power, elevator power and feed roller separation and weigh pad. These weretested simultaneously by placing various sensors on a single harvester and comparing the sensor outputs with the mass flow rate as measured by a weigh truck. In this trial, all techniques offered potential but none produced results close to the accuracy goal. A weighing technique, known as the ‘weigh pad’, offered the most potential for improvement and potential to accurately measure the mass flow rate with a single calibration under all conditions. The weigh pad technique suffered from very small load cell sensitivity to flow rate, drift in baseline readings and susceptibility to mechanical noise/acceleration dynamics.An opportunity arose to install a complete yield mapping system on a harvester within a commercial operation. This opportunity was accepted to assess the potential for applying yield maps to the agronomic management of sugar cane. Because the weigh pad sensor required further development at this stage, chopper and elevator power were used as a measure of mass flow rate. A full yield mapping system was developed. Yield mapping, directed soil sampling and variable rate gypsum application was conducted on a case study field. Economic analysis shows a clear economic benefit when compared with standardmanagement.Analysis is conducted on the weigh pad sensor examining its susceptibility to mechanical noise/acceleration dynamics. Theory is developed to mathematically model the effects of acceleration dynamics on the accuracy of weigh pad sensor. Laboratory bench testing supported the mathematical model. From the theoretical and experimental analysis a number of conclusions are drawn:· The weigh pad should be made as light as possible to minimise the error due todynamic conditions.· Electronic analogue filters should be used to reduce the noise due to externalacceleration.· The weigh pad should be as rigid as possible to maximise its natural frequency.A new weigh pad sensor was designed based on these conclusions. Field trials indicated the effects of external accelerations dynamics were significantly reduced. Baseline drift was then found as the next major factor limiting accuracy. The baseline drift was principally caused by the secondary extractor fan of the harvester inducing a negative pressure on the weighpad. A rubber curtain placed between the weigh pad and the secondary extractor fan reduced the negative force on the weigh pad due to the secondary extractor fan by 74% (from 17 N to 4.4 N). Therefore it is recommended the curtain be used to minimise the impact of the secondary extractor fan on the baseline drift of the weigh pad.A yield mapping system has been developed for the sugar cane chopper harvester incorporating the weigh pad sensor, a ground speed sensor, a DGPS receiver, a yielddisplay/monitor and data logger. Three identical systems have been constructed and installed on three harvesters for the 1998 cane harvest season. The results show sugar cane could be yield mapped using standard yield mapping principles.The level of accuracy being achieved by the yield mapping system is less than 16% error, with 95% confidence, over a measurement area of approximately 1400 m2. Although theaccuracy achieved is not to the desired research goal, yield maps were produced with satisfactory detail to make agronomic management decisions. The reliability of the sugar cane yield mapping system under field condition in a commercial operation was satisfactory. However, two techniques are proposed (“auto-zeroing” and “batch weighing” techniques) to improve the accuracy and reliability of the weigh pad readings during wet or adverseharvesting conditions.After note: At the time of writing the NCEA along with Case Austoft (CNH) were continuing to conduct research and development on the system and are intending to make theyield mapping system available as a standard item on new harvesters and a retrofit unit on existing harvesters in the near future (C. Barret, per. comm. 2001). The proposed “autozeroing” and “batch weighing” techniques are being tested.
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Xie, Quan. "Physiological and genetic determination of yield and yield components in a bread wheat × spelt mapping population." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/28998/.

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A substantial increase in wheat yield is needed for global food security. This requires a comprehensive understanding of the physiological and genetic basis of yield determination. The present study aimed to dissect yield physiologically and genetically in a recombinant inbred line mapping population derived from bread wheat × spelt. A total of 201 traits were investigated in the field and glasshouse across three years, and these traits formed five themes: genetic variation in yield and yield components, and the usefulness of spelt as a genetic resource; tillering dynamics; biomass accumulation; flowering time and subsequent leaf senescence; and grain filling processes. Large genetic variation in all traits was found, and spelt showed many desirable traits and alleles independent of low threshability, so it can be used to broaden genetic diversity for yield improvement in bread wheat, while maintaining the free-threshing habit. Quantitative trait loci for tiller production and survival were identified, which were also affected by light environment under the canopy: low red:far red ratio (R:FR) led to early tillering cessation, few total shoots, high infertile shoot number and shoot abortion, probably resulting from an assimilate shortage due to early and enhanced stem growth induced by low R:FR. More fertile tillers normally contributed to plant yield and grain number, but reduced individual grain weight, partly because of smaller carpels and fewer stem water soluble carbohydrates at anthesis. In addition, preanthesis biomass accumulation increased yield and yield components. For grain weight, slightly early anthesis and delayed but fast leaf senescence were associated with larger grains. Carpel size at anthesis, grain dry matter and water accumulation, as well as grain morphological expansion, determined final grain weight, because of pleiotropy or tight gene linkages. These findings provide deeper insight into yield determination in wheat, and facilitate trait-based physiological and molecular breeding.
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Martinez, Ascanio Ana Karine <1979&gt. "Fine Mapping of qroot-yield-1.06, a QTL for Root, Plant Vigor and Yield in Maize." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7160/.

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Root-yield-1.06 is a major QTL affecting root system architecture (RSA) and other agronomic traits in maize. The effect of this QTL has been evaluated with the development of near isogenic lines (NILs) differing at the QTL position. The objective of this study was to fine map qroot-yield-1.06 by marker-assisted searching for chromosome recombinants in the QTL interval and concurrent root phenotyping in both controlled and field conditions, through successive generations. Complementary approaches such as QTL meta-analysis and RNA-seq were deployed in order to help prioritizing candidate genes within the QTL target region. Using a selected group of genotypes, field based root analysis by ‘shovelomics’ enabled to accurately collect RSA information of adult maize plants. Shovelomics combined with software-assisted root imaging analysis proved to be an informative and relatively highly automated phenotyping protocol. A QTL interval mapping was conducted using a segregating population at the seedling stage grown in controlled environment. Results enabled to narrow down the QTL interval and to identify new polymorphic markers for MAS in field experiments. A collection of homozygous recombinant NILs was developed by screening segregating populations with markers flanking qroot-yield-1.06. A first set of lines from this collection was phenotyped based on the adapted shovelomics protocol. QTL analysis based on these data highlighted an interval of 1.3 Mb as completely linked with the target QTL but, a larger safer interval of 4.1 Mb was selected for further investigations. QTL meta-analysis allows to synthetize information on root QTLs and two mQTLs were identified in the qroot-yield-1.06 interval. Trascriptomics analysis based on RNA-seq data of the two contrasting QTL-NILs, confirmed alternative haplotypes at chromosome bin 1.06. qroot-yield-1.06 has now been delimited to a 4.1-Mb interval, and thanks to the availability of additional untested homozygous recombinant NILs, the potentially achievable mapping resolution at qroot-yield-1.06 is c. 50 kb.
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Sukumaran, Sivakumar. "Genomic mapping for grain yield, stay green, and grain quality traits in sorghum." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/15084.

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Doctor of Philosophy
Department of Agronomy
Jianming Yu
Knowledge of the genetic bases of grain quality traits will complement plant breeding efforts to improve the end use value of sorghum (Sorghum bicolor (L.) Moench). The objective of the first experiment was to assess marker-trait associations for 10 grain quality traits through candidate gene association mapping on a diverse panel of 300 sorghum accessions. The 10 grain quality traits were measured using the single kernel characterization system (SKCS) and near-infrared reflectance spectroscopy (NIRS). The analysis of the accessions through 1,290 genome-wide single nucleotide polymorphisms (SNPs) separated the panel into five subpopulations that corresponded to three major sorghum races (durra, kafir, and caudatum), one intermediate race (guinea-caudatum), and one working group (zerazera/caudatum). Association analysis between 333 SNPs in candidate genes/loci and grain quality traits resulted in eight significant marker-trait associations. A SNP in starch synthase IIa (SSIIa) gene was associated with kernel hardness (KH) with a likelihood ratio–based R[superscript]2 (R[subscript]L[subscript]R[superscript]2) value of 0.08. SNPs in starch synthase (SSIIb) gene (R[subscript]L[subscript]R[superscript]2 = 0.10) and loci pSB1120 (R[subscript]L[subscript]R[superscript]2 = 0.09) was associated with starch content. Sorghum is a crop well adapted to the semi arid regions of the world and my harbor genes for drought tolerance. The objective of second experiment was to identify quantitative trait loci (QTLs) for yield potential and drought tolerance. From a cross between Tx436 (food grain type) and 00MN7645 (drought tolerant) 248 recombinant inbred lines (RILs) was developed. Multi-location trials were conducted in 8 environments to evaluate agronomic performance of the RILs under favorable and drought stress conditions. The 248 RILs and their parents were genotyped by genotyping-by-sequencing (GBS). A subset of 800 SNPs was used for linkage map construction and QTL detection. Composite interval mapping identified a major QTLs for grain yield in chromosome 8 and QTL for flowering time in chromosome 9 under favorable conditions. Three major QTLs were detected for grain yield in chromosomes 1, 6, and 8 and two flowering time QTLs on chromosome 1 under drought conditions. Six QTLs were identified for stay green: two on chromosome 4; one each on chromosome 5, 6, 7, and 10 under drought conditions.
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Tomaszewski, Celine. "Fine mapping of biomass yield quantitative trait loci in Lolium perenne L." Thesis, University of Leicester, 2012. http://hdl.handle.net/2381/10827.

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Biomass yield is a complex quantitative trait controlled by many environmental and genetic factors. Therefore its study relies on QTL mapping. In a precursor study, a genetic map of L. perenne was constructed on an inbred-derived F2 population and three major biomass QTL have been found on linkage groups (LGs) 2, 3 and 7. In this study, a fine map of the QTL positions was developed by mapping additional ryegrass specific SSR, rice Sequence Tagged Site and Diversity Array Technology markers. A total of 153 markers were added to the existing map leading to a map density of 3.5 cM. The QTL positions were recalculated for dry weight, fresh weight, dry matter and leaf width and in accordance to the preliminary analysis biomass QTL were localized on LGs 2, 3 and 7 but despite the fine map the QTL intervals were not reduced. In order to analyze the QTL regions, the screening of a L. perenne BAC library was performed using the markers flanking the QTL and several clones were isolated. After analysis using the AFLP fingerprinting method, five clones were send for full sequencing to perform a gene prediction and annotation using the Ab initio approach. The annotation revealed for one of the gene structures predicted homology to the lg1- like gene and four other showed homology to regions flanking genes of interest suggesting the possible presence of the genes within the biomass QTL region. The four genes were: L. perenne heading date (Hd1) gene, Avena strigosa beta-amyrin synthase (Sad1) and cytochrome P450 CYP51H10 (Sad2) genes and Lolium multiflorum gene for cold responsive protein.
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Nasrallah, Ali. "Crop mapping and yield estimation of wheat in the Bekaa plain of Lebanon." Thesis, Paris, AgroParisTech, 2019. http://www.theses.fr/2019AGPT0005.

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Avec une production mondiale dépassant 750 millions de tonnes en 2017, le blé est considéré comme un aliment de base pour la population mondiale. Sa cartographie et sa surveillance pourraient alors se révéler être un outil très efficace pour atteindre les objectifs de développement durable (ODD2-Faim zéro). Au Liban, en vue d’assurer la sécurité alimentaire nationale, le blé reçoit un soutien financier et technique du gouvernement. Cependant, de nombreuses erreurs dans l'estimation de la superficie en blé à travers le pays sont dues principalement aux déclarations peu fiables des agriculteurs. De plus, le choix du système de culture basé sur le blé (en termes de type de rotation et de pratiques agricoles) peut avoir un impact considérable sur la productivité du système (protéines et rentabilité), l'efficacité d'utilisation des ressources (efficacité d'utilisation de l'eau et utilisation de l’azote), ainsi que sur le risque économique pour les agriculteurs. La présente étude menée dans la plaine de la Bekaa au Liban a pour objectif d'utiliser la télédétection et la modélisation de la croissance des cultures pour fournir aux décideurs politiques et aux utilisateurs finaux les informations dont ils ont besoin sur le blé d’hiver.La première partie évalue le potentiel des images optiques pour la cartographie du blé d'hiver précoce en permettant le transfert de connaissances d'une année à l'autre (2016 et 2017) Les résultats montrent que, lorsque l'approche développée est appliquée à la série chronologique Sentinel-2 de 2017, en utilisant les données de vérité au sol 2016, la précision globale atteint 87,0%, tandis que, lorsqu'elle est mise en œuvre avec les données de vérité au sol 2017, elle est de 82,6% en 2016. Les classifications pour distinguer le blé d'hiver de céréales similaires (orge et triticale) sont réalisées jusqu'à six semaines avant la récolte.La deuxième partie examine la capacité des images radar en bande C du nouveau satellite Sentinel-1 à surveiller la culture de blé d'hiver en identifiant les stades phénologiques économiquement importants qui ne peuvent pas être détectés en utilisant uniquement les indices issus de l’optique (Sentinel-2). Les résultats montrent que la polarisation VV (incidence de 32°-34°) et VH (incidence de 43°-45°) sont respectivement préférables pour estimer les stades de l'épiaison et de pâteux mou. De plus, le rapport VV/VH (incidence de 32°-34°) est préférable pour détecter la germination et la récolte.La troisième partie a pour objectif de vérifier si la rotation blé-féverole, nécessitant des intrants agricoles extensifs (eau et azote), a une performance nettement meilleure que la rotation intensive blé-blé en termes de productivité, d’utilisation rationnelle des ressources, et de minimisation du risque économique à l’échelle parcellaire. Le modèle de croissance des cultures «CropSyst» a été adopté après avoir été calibré et validé sur notre zone d'étude. Les résultats montrent qu’il n’existe pas un scénario de système de culture optimal permettant d’assurer une productivité élevée, de réduire le risque économique et d’obtenir une efficacité élevée de l’utilisation de l’eau et de l’azote. Cependant, le scenario de rotation blé-féverole sans fertilisation du blé semble être un meilleur substitut à la rotation blé-blé en termes de production de protéines. Pour un sol avec une faible capacité de rétention, la production de protéines est de 0,93 t/ha et de 0,8 t/ha respectivement pour les rotations blé-féverole et blé-blé. Pour un sol avec capacité de rétention élevée, la production de protéines est de 1,34 t/ha pour blé-féverole contre 1,17 t/ha pour blé-blé. De plus, ce système de culture blé-féverole pourrait générer un bénéfice net plus élevé que celui du blé-blé. Enfin, la rotation blé-pomme de terre peut générer des bénéfices nets très élevés (8640 US DOLL./ha et 12170 US DOLL./ha) mais avec une faible efficacité des intrants et un risque économique élevé
With global production exceeding 750 million tons in 2017, wheat is considered a staple food for the world's population. Wheat mapping and monitoring could then be a very effective tool for achieving the Sustainable Development Goals (SDG2-Zero Hunger). In Lebanon, wheat receives technical and financial support, yet many errors occur in estimating the wheat acreage due to absence of reliable agricultural census and lack of wheat mapping using satellite images. In addition, identifying the best rotation type and agricultural practices leads to identify the most efficient wheat-based cropping system in terms of productivity (protein production and net profit), efficiency (water and nitrogen use), as well as the economic risk on the farmer. Thus, The aim of the current study, which is conducted in the Bekaa plain of Lebanon, is to utilize remote sensing technology and crop modelling for supporting policy makers and end-users in making strategic decisions regarding one of the most food security-driving crop in the Mediterranean (i.e. winter wheat).The first part of the thesis evaluates the potential of optical data for early winter wheat mapping by allowing the transfer of knowledge from one year to another (2016 and 2017 in this study). For its high spatial and temporal resolutions, Sentinel-2 data are employed. Results show that when the developed approach was applied on Sentinel-2 time series of 2017 in using 2016 ground truth data, the overall accuracy reaches 87.0%, whereas, when implemented using 2017 ground truth data, the overall accuracy is 82.6% on 2016 data. The outputs are executed up to six weeks before harvest, as well as distinguishing winter wheat from similar cereals (barley and triticale).The second part of the thesis examines the ability of the SAR (Synthetic Aperture Radar) C-band data of the new radar satellite (Sentinel-1) regarding its ability to monitor winter wheat crop by identifying the economically important phenological phases that cannot be detected relying solely on NDVI derived from optical satellite Sentinel-2. Results show that VV polarization at incidence angle of 32°-34° is best for predicting heading, VH polarization at incidence angle of 43°-45° for predicting soft dough, and the ratio VV/VH at incidence angle of 32°-34° for predicting germination and harvesting.The third part of the thesis is dedicated to test, in contrasted biophysical and management conditions, the hypothesis that promoting wheat-fava bean rotation leads to a significantly better productivity and resources use efficiency, as well as, reducing economic risk than the promoted intensive wheat-wheat and wheat-potato rotations. The cropping simulation model “CropSyst” is used after being calibrated and validated by using experimental data for different wheat-based rotations combining different soil, climate and management options. The results show that there is no particular optimal scenario that can simultaneously ensure high productivity, reduce economic risk, and achieve high wheat- water- and nitrogen-use efficiency. However, the wheat-fava bean rotation cultivated with no wheat fertilization appears to be a better substitute to the wheat-wheat rotation in terms of protein production in both (low and high) Water Holding Capacity (WHC) soils (0.93 t/ha versus 0.8 t/ha in low WHC and 1.34 t/ha versus 1.17 t/ha in high WHC). This cropping system could achieve a higher net profit, showing high resource-use efficiency and good economic sustainability. Moreover, a very high profit could only be attained with the wheat-potato rotation (8640 US DOLL./ha and 12170 US DOLL./ha), yet with low input-efficiency and high economic risk
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Maguire, Seamus. "Bale weighing, crop moisture content measurement and yield mapping systems for large rectangular balers." Thesis, Cranfield University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443752.

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Bassi, Filippo Maria. "Radiation Hybrid Fine Mapping of Two Fertility-Related Genes: Marking the Path to Wheat Hybrids." Diss., North Dakota State University, 2012. https://hdl.handle.net/10365/26535.

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Over one billion people, more than 1/9th of the global population, are undernourished. Feeding the ever increasing population has to be the most important goal of plant sciences. Since cultivated areas are not likely to increase, I will need to produce more with what is available. This can be summarized in one word: yield. Unfortunately, wheat?s yield is expected to increase only 1.13% by 2019, a prediction that if converted into reality will likely indicate that I failed to cope with the world demographic increase. A new strategy to revolutionize wheat production is required, and some believe that this change might be represented by wheat hybrids. Achieving adequate commercial production of wheat hybrids has the potential to nearly double the yield of one of the world?s most important staple food. The first fundamental step toward this goal is to develop feasible methodologies to sterilize the male part of the complete wheat flowers. Two fertility-related genes are the primary target of this study, namely the species cytoplasm specific on chromosome 1D, and the desynaptic locus on chromosome 3B. This dissertation summarizes the important achievements obtained toward the cloning of the two loci by means of radiation hybrid functional analysis. Radiation hybrid is a technique that employs radiation to create genetic diversity along the targeted chromosome. Chapter 1 explains in details how this methodology can be applied to plants. The use of radiation hybrid mapping permitted creating a comprehensive map of wheat chromosome 3B, as discussed in Chapter 2, and then expanded the mapping information to identify the 2 Mb location of the desynaptic locus desw2, as discussed in Chapter 3. A similar approach on chromosome 1D allowed first to pinpoint the location of the species cytoplasm specific gene to a region of 2 Mb, as discussed in Chapter 4, and then ultimately to find a strong candidate for this locus, as discussed in Chapter 5. Now that the molecular locations of these genes have been unraveled by this study, their sequence can be streamlined into transformation to ultimately produce female wheat plants, and consequently hybrids.
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Onpraphai, Thaworn, and n/a. "Information systems for regional sugar cane production forecasting and localised yield estimation: a Thailand perspective." University of Canberra. Resource, Environmental & Heritage Sciences, 2004. http://erl.canberra.edu.au./public/adt-AUC20060517.142422.

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Sugar is an important global agricultural commodity and a significant input to the advanced industrialised world. Annual average global sugar production is around 120 million tonnes, with consumption around 118 million tonnes. Sugar is produced under a broad range of climatic conditions in some 120 countries and is one of the most heavily traded agricultural commodities (FAO, 2001). Plants produce sugar as a storehouse of energy that is used as required. Approximately 70% of sugar is produced from sugar cane while the remaining 30% is produced from sugar beet (Sugar Knowledge International, 2001). Thailand's cane and sugar industry is now one of the major sources of foreign income for the country. The value of sugar exports (around 35 billion baht or AUD $1.5 billion per annum) ranks among the top ten exported commodities of the Thai economy. Approximately 9.2% of annual global sugar production is exported from Thailand (WTO, 2001). The sugar industry is extremely complex and comprises individual links and components in the supply and demand chain that are more delicately in balance than with most other commodity based industries. Thailand's sugar production has been characterized by greater extremes of variability than in most other sugar producing countries. A unique combination of pests, disease, climate, soils, problems with plant available moisture and the low technology basis of crop management has increased production risk and uncertainty for the crop. Total tonnage of cane and sugar is notoriously difficult to predict during the growing season and for a mature crop before the harvest. Accordingly, the focus of this research is on the development and testing of methods, algorithms, procedures and output products for Sugar Cane Crop Forecasting and Yield Mapping. The resulting spatial and temporal information tools have the potential to provide the basis of a commercially deployable decision support system for Thailand's sugar industry. The scope of this thesis encompasses several levels within a geographical hierarchy of scales; from regional, district, farm, and plot within a study area in northeastern Thailand. Crop forecasting at regional level will reduce production risk uncertainty while yield mapping and yield estimation at local, farm and plot scales will enable productivity to be improved by identifying, diagnosing the cause of and reducing yield variability. The research has three main objectives. These are to: Develop statistical analysis procedures and empirical algorithms expressing the relationship between yield potential and spectral response of sugar cane yield as a basis for mapping, monitoring, modeling, forecasting and management of sugar production in Thailand. Evaluate the validity of a technology based versus conventional approach to crop forecasting and yield mapping, commencing with a series of testable null-hypotheses and culminating in procedures to calibrate and validate empirical models against verifiable production records. Outcomes are used to review and evaluate existing and potential future approaches to regional crop forecasting, localised yield mapping and yield estimation tools for operational use within Thailand's sugar industry. Identify, evaluate and establish performance benchmarks in relation to the practicality, accuracy, timeliness, cost effectiveness and value proposition of a satellite based versus conventional approach to crop forecasting and yield mapping. The methodology involved time series analysis of recorded sugar cane yields and production outcomes paired with spectral response statistics of crops derived from satellite imagery and seasonal rainfall records over a three year period within four provinces, forty five component districts and 120 representative farms. Spectral statistics were derived fiom raw multi-spectral satellite imagery (multitemporal SPOT- VI at regional scale and Landsat 7 ETM+ imagery at local scale) acquired during the 1999 to 2001 sugar cane seasons. Crop area and production statistics at regional scale were compiled and furnished by the provincial sugar mill and verified through government agencies within Thailand. Selective cutting at sample sites within nominated fields owned by collaborating growers was undertaken to validate localised differences in productivity and to facilitate yield variance mapping. Acquisition, processing, analysis and statistical modeling of remotely sensed satellite spectral data, rainfall records and production outcomes were accomplished using an empirical approach. Resulting crop production forecasting algorithms were systematically evaluated for reliability by assessing accuracy, spatial and temporal variability. Long term rainfall and district sugar cane yield and production records were used to account for district and season specific differences between estimated and recorded yields, to generate error probability functions and to improve the accuracy and applicability of empirical models under more extreme conditions. Limitations on finding and length of records constrained the number of seasons and the area for which satellite imagery with contrasting levels of spatial and spectral resolution could be acquired. The absence of verifiable long term production records combined with limitations on the duration and area able to be covered by field trips meant that time series analysis of paired data was necessarily constrained to a three year period of record coinciding with the author's period of candidature. Accordingly, although a comprehensive set of well correlated district and month specific yield forecasting algorithms was able to be developed, temporal restrictions on data availability constrained the extent to which they could be subjected to thorough accuracy and reliability analysis and extended with confidence down to farm and field scale. A variety of approaches, using different parameter combinations and threshold values, was used to combine individual districts and component farms into coherent groups to overcome temporal data constraints and to generate more robust production forecasting algorithms, albeit with slightly lower levels of apparent accuracy and reliability. The procedures adopted to optimise these district groupings are systematically explained. Component differences in terrain, biophysical conditions and management approaches between district groupings are used to explain differences in production outcomes and to account for apparent differences between forecast versus actual yields between districts both within and between different groups. The outcomes of this research - particularly the data acquisition and analysis procedures, empirical modeling, error assessment and adjustment techniques, and the optimisation procedures used to facilitate grouping of districts - provide a practical basis for the deployment of an operational sugar cane production forecasting and yield mapping information system to facilitate planning and logistical management of production, harvesting, transportation, processing, domestic marketing and export of sugar from northeastern Thailand. At the local and farm level, yield maps and plot based yield estimates will assist users to improve productivity by recognising, identiwing and responding to potential causes of within and between field spatial variability. However, before such an information system can be confidently deployed, additional resources will be required to obtain paired production records, spectral data fiom satellite imagery and biophysical input data over a longer period to ensure that the empirical models are operationally robust and to validate their accuracy under a wider range of conditions by comparing forecasts with actual outcomes over larger areas during the next few seasons.
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Books on the topic "Yield mapping"

1

Faechner, Ty. Evaluation of GPS yield mapping technology at reclaimed industrial sites in Alberta. Edmonton: Alberta Environment, 2006.

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Khan, Mobushir Riaz. Crops from space: Improved earth observation capacity to map crop areas and to quantify production. Enschede: ITC, 2011.

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Traore, Abdoulaye. Quantitative trait locus mapping of yield and yield components in barley (Hordeum vulgare L.). 1993.

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Vegetationskartierung und Untersuchungen zum landwirtschaftlichen Ertrag im MaB6-Gebiet Davos =: Vegetation mapping and investigations of the agricultural yield in the MaB6-test area of Davos. [Zürich: Geobotanisches Institut der ETH, Stiftung Rübel], 1986.

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Miller, Henry. Petitioning and Demonstrating. Edited by David Brown, Gordon Pentland, and Robert Crowcroft. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198714897.013.14.

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Despite being the most popular and accessible form of political activity among ordinary people, petitioning has received remarkably little attention from modern British historians. This chapter focuses on what gains in understanding such attention might yield. First, the historical study of petitions and demonstrations underlines the fact that popular politics was not always coterminous with party or electoral politics. Second, petitions provide a way to break down the barriers between high and low or elite and popular politics and offer a lens through which to study the transnational and imperial dimension of British political culture. Finally, the chapter looks to future directions and argues that quantitative and geographic mapping techniques offer the potential to inject a new, and long overdue, quantitative rigour into the study of modern British political history.
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Alcorn, Rhona, Joanna Kopaczyk, Bettelou Los, and Benjamin Molineaux, eds. Historical Dialectology in the Digital Age. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474430531.001.0001.

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Drawing on the resources created by the Institute of Historical Dialectology at the University of Edinburgh (now the Angus McIntosh Centre for Historical Linguistics), such as eLALME (the electronic version A Linguistic Atlas of Late Medieval English), LAEME (A Linguistic Atlas of Early Middle English) and LAOS (A Linguistic Atlas of Older Scots), this volume illustrates how traditional methods of historical dialectology can benefit from new methods of corpus data-collection to test out theoretical and empirical claims. In showcasing the results that these digital text resources can yield, the book highlights novel methods for presenting, mapping and analysing the quantitative data of historical dialects, and sets the research agenda for future work in this field. Bringing together a range of distinguished researchers, the book sets out the key corpus-building strategies for working with regional manuscript data at different levels of linguistic analysis including syntax, morphology, phonetics and phonology. The chapters also show the ways in which the geographical spread of phonological, morphological and lexical features of a language can be used to improve our assessment of the geographical provenance of historical texts.
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Roberts, Michael C. Field sampling and mapping strategies for balancing nitrogen to variable soil water across landscapes. 1991.

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Butz, Martin V., and Esther F. Kutter. Multisensory Interactions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0010.

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This chapter shows that multiple sensory information sources can generally be integrated in a similar fashion. However, seeing that different modalities are grounded in different frames of reference, integrations will focus on space or on identities. Body-relative spaces integrate information about the body and the surrounding space in body-relative frames of reference, integrating the available information across modalities in an approximately optimal manner. Simple topological neural population encodings are well-suited to generate estimates about stimulus locations and to map several frames of reference onto each other. Self-organizing neural networks are introduced as the basic computation mechanism that enables the learning of such mappings. Multisensory object recognition, on the other hand, is realized most effectively in an object-specific frame of reference – essentially abstracting away from body-relative frames of reference. Cognitive maps, that is, maps of the environment are learned by connecting locations over space and time. The hippocampus strongly supports the learning of cognitive maps, as it supports the generation of new episodic memories, suggesting a strong relation between these two computational tasks. In conclusion, multisensory integration yields internal predictive structures about spaces and object identities, which are well-suited to plan, decide on, and control environmental interactions.
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Book chapters on the topic "Yield mapping"

1

Pierce, F. J., N. W. Anderson, T. S. Colvin, J. K. Schueller, D. S. Humburg, and N. B. McLaughlin. "Yield Mapping." In The State of Site Specific Management for Agriculture, 211–43. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1997.stateofsitespecific.c11.

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Birrell, Stuart J., Steven C. Borgelt, and Kenneth A. Sudduth. "Crop Yield Mapping: Comparison of Yield Monitors and Mapping Techniques." In Site-Specific Management for Agricultural Systems, 15–31. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c2.

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Colvin, T. S., D. L. Karlen, J. R. Ambuel, and F. Perez-Munoz. "Yield Monitoring for Mapping." In Site-Specific Management for Agricultural Systems, 1–14. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c1.

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Rawlins, Stephen L., Gaylon S. Campbell, Ronald H. Campbell, and John R. Hess. "Yield Mapping of Potato." In Site-Specific Management for Agricultural Systems, 59–68. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c5.

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Fulton, John, Elizabeth Hawkins, Randy Taylor, and Aaron Franzen. "Yield Monitoring and Mapping." In Precision Agriculture Basics, 63–77. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2018. http://dx.doi.org/10.2134/precisionagbasics.2016.0089.

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Ahmad, Latief, and Syed Sheraz Mahdi. "Yield Monitoring and Mapping." In Satellite Farming, 139–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03448-1_11.

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Blackmore, B. S., and C. J. Marshall. "Yield Mapping; Errors and Algorithms." In Proceedings of the Third International Conference on Precision Agriculture, 403–15. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1996.precisionagproc3.c44.

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Jaynes, D. B., T. S. Colvin, and J. Ambuel. "Yield Mapping by Electromagnetic Induction." In Site-Specific Management for Agricultural Systems, 383–94. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c26.

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Missotten, B., G. Strubbe, and J. De Baerdemaeker. "Accuracy of grain and straw yield mapping." In Proceedings of the Third International Conference on Precision Agriculture, 713–22. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1996.precisionagproc3.c85.

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Colaço, A. F., R. G. Trevisan, F. H. S. Karp, and J. P. Molin. "Yield mapping methods for manually harvested crops." In Precision agriculture '15, 225–32. The Netherlands: Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-814-8_27.

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Conference papers on the topic "Yield mapping"

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Luiz A. Balastreire, John K. Schueller, J.R. Amaral, J.C.G. Leal, and F.H.R. Baio. "Coffee Yield Mapping." In 2002 Chicago, IL July 28-31, 2002. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.9158.

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Borgelt, Steven C. "Yield Monitoring and Mapping." In Proceedings of the 1992 Crop Production and Protection Conference. Iowa State University, Digital Press, 1994. http://dx.doi.org/10.31274/icm-180809-452.

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Trevisan, R. Gonçalves, L. S. Shiratsuchi, D. S. Bullock, and N. F. Martin. "Improving yield mapping accuracy using remote sensing." In 12th European Conference on Precision Agriculture. The Netherlands: Wageningen Academic Publishers, 2019. http://dx.doi.org/10.3920/978-90-8686-888-9_111.

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Yule, I.J., Lawrence, H.G., and Murray, and R.I. "Yield Mapping to Improve Dairy Farm Production." In 2005 Tampa, FL July 17-20, 2005. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.18849.

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Palaniappan Annamalai and Won Suk Lee. "Citrus Yield Mapping System Using Machine Vision." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13701.

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Dr.ir. J.W. Hofstee and Dr.ir. G.J. Molema. "Machine Vision Based Yield Mapping of Potatoes." In 2002 Chicago, IL July 28-31, 2002. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.9699.

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Shchegrin, M. N. "YIELD MAPPING IN THE PRECISION FARMING SYSTEM." In TOPICAL ISSUES OF AGRICULTURAL DEVELOPMENT. Komi Republican Academy of Public Service and Management, 2021. http://dx.doi.org/10.19110/93206-022-33.

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Hassan Khalilinezhad, Seyyed, Akram Reza, and Midia Reshadi. "Yield modeling and yield-aware mapping for application specific networks-on-chip." In 2011 NORCHIP. IEEE, 2011. http://dx.doi.org/10.1109/norchp.2011.6126733.

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Jenane, Chakib, and Leonard L. Bashford. "Yield Mapping of Soybeans and Corn Using GPS." In International Off-Highway & Powerplant Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/952112.

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GopalaPillai, Sreekala, Lei Tian, and Donald Bullock. "Yield Mapping with Digital Aerial Color Infrared (CIR) Images." In International Off-Highway & Powerplant Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-2847.

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Reports on the topic "Yield mapping"

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Saha, Malay C., E. Charles Brummer, Shawn Kaeppler, and Hem S. Bhandari. Deciphering Natural Allelic Variation in Switchgrass for Biomass Yield and Quality Using a Nested Association Mapping Population. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1330376.

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Froehlich, D. P., and J. A. Schumacher. Develop a field grid system for yield mapping and machine control. Quarterly report, January 1, 1995--March 31, 1995. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/33081.

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Hart, F., and J. Windish. Develop a field grid system for yield mapping and machine control. Quarterly report, July 1, 1995--September 30, 1995. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/108125.

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Froehlich, D. P., and J. A. Schumacher. Develop a field grid system for yield mapping and machine control. Quarterly report, April 1, 1995--June 30, 1995. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/87079.

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Develop a field grid system for yield mapping and machine control. Final report, Invention 544. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/172129.

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