全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Sensors  2013 

Sensors in Agriculture and Forestry

DOI: 10.3390/s130912132

Full-Text   Cite this paper   Add to My Lib

Abstract:

Agriculture and Forestry are two broad and promising areas demanding technological solutions with the aim of increasing production or accurate inventories for sustainability while the environmental impact is minimized by reducing the application of agro-chemicals and increasing the use of environmental friendly agronomical practices. In addition, the immediate consequence of this “trend” is the reduction of production costs.

References

[1]  Gmur, S.; Vogt, D.; Zabowski, D.; Moskal, L.M. Hyperspectral Analysis of Soil Nitrogen, Carbon, Carbonate, and Organic Matter Using Regression Trees. Sensors 2012, 12, 10639–10658.
[2]  Wilczek, A.; Szyp?owska, A.; Skierucha, W.; Cie?la, J.; Pichler, V.; Janik, G. Determination of Soil Pore Water Salinity Using an FDR Sensor Working at Various Frequencies up to 500 MHz. Sensors 2012, 12, 10890–10905.
[3]  Skierucha, W.; Wilczek, A.; Szyp?owska, A.; S?awiński, C.; Lamorski, K. A TDR-Based Soil Moisture Monitoring System with Simultaneous Measurement of Soil Temperature and Electrical Conductivity. Sensors 2012, 12, 13545–13566.
[4]  Ry?ak, M.; Bieganowski, A. Using the Image Analysis Method for Describing Soil Detachment by a Single Water Drop Impact. Sensors 2012, 12, 11527–11543.
[5]  Scudiero, E.; Berti, A.; Teatini, P.; Morari, F. Simultaneous Monitoring of Soil Water Content and Salinity with a Low-Cost Capacitance-Resistance Probe. Sensors 2012, 12, 17588–17607.
[6]  Rossi, R.; Pollice, A.; Diago, M.-P.; Oliveira, M.; Millan, B.; Bitella, G.; Amato, M.; Tardaguila, J. Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture. Sensors 2013, 13, 1121–1136.
[7]  Valera, D.L.; Gil, J.; Agüera, J. Design of a New Sensor for Determination of the Effects of Tractor Field Usage in Southern Spain: Soil Sinkage and Alterations in the Cone Index and Dry Bulk Density. Sensors 2012, 12, 13480–13490.
[8]  Agüera, J.; Carballido, J.; Gil, J.; Gliever, C.J.; Perez-Ruiz, M. Design of a Soil Cutting Resistance Sensor for Application in Site-Specific Tillage. Sensors 2013, 13, 5945–5957.
[9]  Lofton, J.; Tubana, B.S.; Kanke, Y.; Teboh, J.; Viator, H.; Dalen, M. Estimating Sugarcane Yield Potential Using an In-Season Determination of Normalized Difference Vegetative Index. Sensors 2012, 12, 7529–7547.
[10]  Diago, M.-P.; Correa, C.; Millán, B.; Barreiro, P.; Valero, C.; Tardaguila, J. Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions. Sensors 2012, 12, 16988–17006.
[11]  Teixidó, M.; Font, D.; Pallejà, T.; Tresanchez, M.; Nogués, M.; Palacín, J. Definition of Linear Color Models in the RGB Vector Color Space to Detect Red Peaches in Orchard Images Taken under Natural Illumination. Sensors 2012, 12, 7701–7718.
[12]  Teixidó, M.; Font, D.; Pallejà, T.; Tresanchez, M.; Nogués, M.; Palacín, J. An Embedded Real-Time Red Peach Detection System Based on an OV7670 Camera, ARM Cortex-M4 Processor and 3D Look-Up Tables. Sensors 2012, 12, 14129–14143.
[13]  Andújar, D.; Weis, M.; Gerhards, R. An Ultrasonic System for Weed Detection in Cereal Crops. Sensors 2012, 12, 17343–17357.
[14]  Dworak, V.; Selbeck, J.; Dammer, K.-H.; Hoffmann, M.; Zarezadeh, A.A.; Bobda, C. Strategy for the Development of a Smart NDVI Camera System for Outdoor Plant Detection and Agricultural Embedded Systems. Sensors 2013, 13, 1523–1538.
[15]  Romeo, J.; Guerrero, J.M.; Montalvo, M.; Emmi, L.; Guijarro, M.; Gonzalez-de-Santos, P.; Pajares, G. Camera Sensor Arrangement for Crop/Weed Detection Accuracy in Agronomic Images. Sensors 2013, 13, 4348–4366.
[16]  Fadilah, N.; Mohamad-Saleh, J.; Abdul Halim, Z.; Ibrahim, H.; Syed Ali, S.S. Intelligent Color Vision System for Ripeness Classification of Oil Palm Fresh Fruit Bunch. Sensors 2012, 12, 14179–14195.
[17]  Aroca, R.V.; Gomes, R.B.; Dantas, R.R.; Calbo, A.G.; Gon?alves, L.M.G. A Wearable Mobile Sensor Platform to Assist Fruit Grading. Sensors 2013, 13, 6109–6140.
[18]  Perez-Ruiz, M.; Carballido, J.; Agüera, J.; Rodríguez-Lizana, A. Development and Evaluation of a Combined Cultivator and Band Sprayer with a Row-Centering RTK-GPS Guidance System. Sensors 2013, 13, 3313–3330.
[19]  Rueda-Ayala, V.; Weis, M.; Keller, M.; Andújar, D.; Gerhards, R. Development and Testing of a Decision Making Based Method to Adjust Automatically the Harrowing Intensity. Sensors 2013, 13, 6254–6271.
[20]  Bataller, R.; Campos, I.; Laguarda-Miro, N.; Alca?iz, M.; Soto, J.; Martínez-Má?ez, R.; Gil, L.; García-Breijo, E.; Ibá?ez-Civera, J. Glyphosate Detection by Means of a Voltammetric Electronic Tongue and Discrimination of Potential Interferents. Sensors 2012, 12, 17553–17568.
[21]  Wilson, A.D. Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry. Sensors 2013, 13, 2295–2348.
[22]  Noureldin, A.; Armstrong, J.; El-Shafie, A.; Karamat, T.; McGaughey, D.; Korenberg, M.; Hussain, A. Accuracy Enhancement of Inertial Sensors Utilizing High Resolution Spectral Analysis. Sensors 2012, 12, 11638–11660.
[23]  Sánchez-Hermosilla, J.; González, R.; Rodríguez, F.; Donaire, J.G. Mechatronic Description of a Laser Autoguided Vehicle for Greenhouse Operations. Sensors 2013, 13, 769–784.
[24]  Steen, K.A.; Villa-Henriksen, A.; Therkildsen, O.R.; Green, O. Automatic Detection of Animals in Mowing Operations Using Thermal Cameras. Sensors 2012, 12, 7587–7597.
[25]  Zhang, X.; Liu, F.; He, Y.; Li, X. Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds. Sensors 2012, 12, 17234–17246.
[26]  Kim, G.; Kim, G.H.; Ahn, C.-K.; Yoo, Y.; Cho, B.-K. Mid-Infrared Lifetime Imaging for Viability Evaluation of Lettuce Seeds Based on Time-Dependent Thermal Decay Characterization. Sensors 2013, 13, 2986–2996.
[27]  You, K.Y.; Mun, H.K.; You, L.L.; Salleh, J.; Abbas, Z. A Small and Slim Coaxial Probe for Single Rice Grain Moisture Sensing. Sensors 2013, 13, 3652–3663.
[28]  Giselsson, T.M.; Midtiby, H.S.; J?rgensen, R.N. Seedling Discrimination with Shape Features Derived from a Distance Transform. Sensors 2013, 13, 5585–5602.
[29]  Busemeyer, L.; Mentrup, D.; M?ller, K.; Wunder, E.; Alheit, K.; Hahn, V.; Maurer, H.P.; Reif, J.C.; Würschum, T.; Müller, J.; Rahe, F.; Ruckelshausen, A. BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding. Sensors 2013, 13, 2830–2847.
[30]  Navarro, P.J.; Fernández, C.; Weiss, J.; Egea-Cortines, M. Development of a Configurable Growth Chamber with a Computer Vision System to Study Circadian Rhythm in Plants. Sensors 2012, 12, 15356–15375.
[31]  Yao, X.; Yao, X.; Jia, W.; Tian, Y.; Ni, J.; Cao, W.; Zhu, Y. Comparison and Intercalibration of Vegetation Indices from Different Sensors for Monitoring Above-Ground Plant Nitrogen Uptake in Winter Wheat. Sensors 2013, 13, 3109–3130.
[32]  Fernandez-Jaramillo, A.A.; Duarte-Galvan, C.; Contreras-Medina, L.M.; Torres-Pacheco, I.; Romero-Troncoso, R.J.; Guevara-Gonzalez, R.G.; Millan-Almaraz, J.R. Instrumentation in Developing Chlorophyll Fluorescence Biosensing: A Review. Sensors 2012, 12, 11853–11869.
[33]  López, O.; Rach, M.M.; Migallon, H.; Malumbres, M.P.; Bonastre, A.; Serrano, J.J. Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies. Sensors 2012, 12, 15801–15819.
[34]  Yang, J.-G.; Wang, F.-L.; Chen, D.-X.; Shen, L.-L.; Qian, Y.-M.; Liang, Z.-Y.; Zhou, W.-C.; Yan, T.-H. Development of a One-Step Immunocapture Real-Time RT-PCR Assay for Detection of Tobacco Mosaic Virus in Soil. Sensors 2012, 12, 16685–16694.
[35]  Krzyzanowska, D.; Obuchowski, M.; Bikowski, M.; Rychlowski, M.; Jafra, S. Colonization of Potato Rhizosphere by GFP-Tagged Bacillus subtilis MB73/2, Pseudomonas sp. P482 and Ochrobactrum sp. A44 Shown on Large Sections of Roots Using Enrichment Sample Preparation and Confocal Laser Scanning Microscopy. Sensors 2012, 12, 17608–17619.
[36]  Rach, M.M.; Gomis, H.M.; Granado, O.L.; Malumbres, M.P.; Campoy, A.M.; Martín, J.J.S. On the Design of a Bioacoustic Sensor for the Early Detection of the Red Palm Weevil. Sensors 2013, 13, 1706–1729.
[37]  García-Ramos, F.J.; Vidal, M.; Boné, A.; Malón, H.; Aguirre, J. Analysis of the Air Flow Generated by an Air-Assisted Sprayer Equipped with Two Axial Fans Using a 3D Sonic Anemometer. Sensors 2012, 12, 7598–7613.
[38]  Gil, E.; Llorens, J.; Llop, J.; Fàbregas, X.; Gallart, M. Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying. Sensors 2013, 13, 516–534.
[39]  Martínez-Martínez, V.; Baladrón, C.; Gomez-Gil, J.; Ruiz-Ruiz, G.; Navas-Gracia, L.M.; Aguiar, J.M.; Carro, B. Temperature and Relative Humidity Estimation and Prediction in the Tobacco Drying Process Using Artificial Neural Networks. Sensors 2012, 12, 14004–14021.
[40]  Paradis, N.; Auty, D.; Carter, P.; Achim, A. Using a Standing-Tree Acoustic Tool to Identify Forest Stands for the Production of Mechanically-Graded Lumber. Sensors 2013, 13, 3394–3408.
[41]  Lin, Y.; Puttonen, E.; Hyypp?, J. Investigation of Tree Spectral Reflectance Characteristics Using a Mobile Terrestrial Line Spectrometer and Laser Scanner. Sensors 2013, 13, 9305–9320.
[42]  RHEA. Robot Fleets for Highly Effective Agriculture and Forestry Management. Available online: http://www.rhea-project.eu/ (accessed on 5 September 2013).

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133