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Remote Sensing Applications in Precision Agriculture
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Authors
Ahamed, T
Aijima, K
Alchanatis, V
Alchanatis, V
Bellvert, J
Bosak, A
Chen, Z
Cohen, A
Cohen, Y
Cohen, Y
Crawford, K
Dag, A
Denton, A.M
Dhillon, R
Dong, T
Erdle, K
Farahmand, K
Fereres, E
Franzen, D.W
Girona, J
Gonzalez-Dugo, V
Holmes, G
Hongo, C
Lamb, D.W
Li, L
Li, Z
Liu, J
Meng, J
Meng, J
Meng, J
Momsen, E
Nagata, O
Nakagawa, Y
Naor, A
Niwa, K
Nowatzki, J.F
Ohaba, M
Pittman, J
Rahman, M.M
Roach, J
Rojo, F
Rosenberg, O
Sano, M
Saranga, Y
Schmidhalter, U
Shang, J
Shibusawa, S
Shirakawa, T
Sprinstin, M
Stanley, J.S
Sugihara, T
Sugimoto, T
Tamura, E
Tian, L.F
Ting, K.C
Trotter, M.G
Upadhyaya, S
Wakabayashi, K
Wu, B
Xu, J
Xu, X
Yamagishi, K
You, X
Zarco-Tejada, P.J
Zhao, Y
Zipori, I
Topics
Remote Sensing Applications in Precision Agriculture
Type
Oral
Poster
Year
2014
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Topics

Filter results16 paper(s) found.

1. NDVI 'Depression' In Pastures Following Grazing

Pasture biomass estimation from normalized difference vegetation index (NDVI) using ground, air or space borne sensors is becoming more widely used in precision agriculture. Proximal active optical sensors (AOS) have the potential to eliminate the confounding effects of path radiance and target illumination conditions typically encountered using passive sensors. Any algorithm that infers the green fraction of pasture from NDVI must factor in plant morphology and live/dead plant ratio, irrespe... J.S. Stanley, D.W. Lamb, M.G. Trotter, M.M. Rahman

2. Multitemporal Satellite Imaging To Support Near Real-Time Precision Farming

This paper presents a 2014 update on the DMC constellation of optical satellite sensors and how they are exploited for various types of agricultural monitoring. Thousands of farmers around the world are exploiting this powerful data source for the management of crops, enabled by specialist service providers which convert the imagery into meaningful biophysical measurements and spatially variable nitrogen/irrigation recommendations. The paper also looks ahead to future ... G. Holmes

3. Detection Of Fruit Tree Water Status In Orchards From Remote Sensing Thermal Imagery

In deciduous fruit trees there is a growing need of using water status indicators for scheduling irrigation and adopt regulated deficit irrigation (RDI) strategies taking into account spatial variability of orchards. RDI strategies have been successfully adopted for many fruit trees as a means for reducing water use and because yield and quality at harvest are not sensitive to water stress at some developmental stages. Although water status is generally monitored by measuring tr... P.J. Zarco-tejada, V. Gonzalez-dugo, J. Girona, E. Fereres, J. Bellvert

4. An Evaluation Of HJ-CCD Broadband Vegtation Indices For Leaf Chlorophyll Content Estimation

Leaf chlorophyll content is one of the most important biochemical variables for crop physiological status assessment, crop biomass estimation and crop yield prediction in precision agriculture. Vegetation indices were considered effective for chlorophyll content estimation. Although hyperspectral reflectance is proven to be better than multispectral reflectance for leaf chlorophyll content retrieval, the scarcity of available data from satellite hyperspectra... T. Dong, J. Shang, J. Meng, J. Liu

5. Near-Real-Time Remote Sensing And Yield Monitoring Of Biomass Crops

The demand for bioenergy crops production has increased tremendously by the biofuel industry for substitution of traditional fuels due to the economic availability and environmental benefits. Pre-Harvest monitoring of biomass production is necessary to develop optimized instrumentation and data processing systems for crop growth, health and stress monitoring; and to develop algorithms for field operation scheduling. To cope with the problems of missing criti... Y. Zhao, L. Li, K.C. Ting, L.F. Tian, T. Ahamed

6. Evaluating Soil Nutrition Status With Remote Sensing Derived Land Productivity

Available nitrogen is the amount of this nutrient available to plants in the soil and the amount of nitrogen provided by fertilizers. Compared to total nitrogen, nitrogen availability is a more useful tool for determining how much fertilizer you need and when to apply it. Determining the level of nitrogen available in field soil is also a useful method to increase the efficiency of fertilizer. Most soil properties are time-consuming and costly to measure, and also change over ti... Z. Chen, J. Meng, X. You

7. Design, Development And Application Of A Satellite-Based Field Monitoring System To Support Precision Farming

The factual base of precision agriculture (PA) - the spatial and temporal variability of soil and crop factors within or between different fields has been recognized for centuries. Field information on seeding suitability, soil & crop nutrition status and crop mature date is needed to optimize field management. How to acquire the spatially and temporally varied field parameters accurately, efficiently and at affordable cost has always been the focus of the researches in the ... Z. Li, B. Wu, J. Meng

8. Creation Of Prescription For Optimal Nitrogen Fertilization Through Evaluation Of Soil Carbon Amount Using Remotely Sensed Data

    In these years, drastic increase of agricultural production costs has been induced, which was triggered by the sharp rise of costs relating to agricultural production materials such as fertilizers and oil. In Japan, the substantial negative influence is anticipated to spread over to management of the farmers particularly  in Hokkaido, the northern part of Japan. As one of the measures against this influence, a plan of effective fertilizer application and ... E. Tamura, K. Aijima, K. Niwa, O. Nagata, K. Wakabayashi, C. Hongo

9. Study On Plant Health Condition Monitoring Using Acoustic Radiation Force

In recent years, irrigation method using the negative pressure difference attracts attention from the point of view of water saving. In addition, it is proved that this technique is effective in upbringing of the plant as well as saving of water. By measuring water distribution of soil, active irrigation control will be performed In our previous study, we confirmed that the resonance frequency of a leaf is influenced by the water stress to the plant. Thus the vibration measureme... Y. Nakagawa, M. Sano, T. Shirakawa, K. Yamagishi, T. Sugihara, M. Ohaba, S. Shibusawa, T. Sugimoto

10. Spectral High-Throughput Assessments Of Phenotypic Differences In Spike Development, Biomass And Nitrogen Partitioning During Grain Filling Of Wheat Under High Yielding Western European Conditions

Single plant traits such as green biomass, spike dry weight, biomass and nitrogen (N) transfer to grains are important traits for final grain yield. However, methods to assess these traits are laborious and expensive. Spectral reflectance measurements allow researchers to assess cultivar differences of yield-related plant traits and translocation parameters that are affected by different genetic material and varying amounts of available N. In a field experiment, six high-yielding wheat c... U. Schmidhalter, K. Erdle

11. Monitoring Ratio Of Leaf Carbon To Nitrogen In Winter Wheat Based On Hyperspectral Measurements

The metabolic status of carbon (C) and nitrogen (N) as two essential elements of crop plants has significant influence on the ultimate formation of yield and quality in crop production. Leaf is the major organ of plant photosynthesis and physiological activity, and in leaf tissues the ratio of carbon to nitrogen (C/N), defined as the ratio of LCC (leaf carbon concentration) to LNC (leaf nitrogen concentration), can... X. Xu

12. An Inexpensive Aerial Platform For Precise Remote Sensing Of Almond And Walnut Canopy Temperature

Current irrigation practices depend largely on imprecise applications of water over fields with varying degrees of heterogeneity. In most cases, the amount of water applied over a given field is determined by the amount the most water-stressed part of the field needs. This equates to over-watering most of the field in order to satisfy the needs of one part of the field. This approach not only wastes resources, but can have a detrimental effect on the value of that crop. A system t... K. Crawford, S. Upadhyaya, R. Dhillon, F. Rojo, J. Roach

13. Automatic Detection And Mapping Of Irrigation System Failures Using Remotely Sensed Canopy Temperature And Image Processing

Today there is no systematic way to identify and locate failures of irrigation systems mainly because of the labor costs associated with locating the failures. The general aim of this study was to develop an airborne thermal imaging system for semi - automatic monitoring and mapping of irrigation system failures, specifically, of leaks and clogs. Initially, leaks and clogs were simulated by setting controlled trials in table grapes vineyards and olive groves. Airborne ther... V. Alchanatis, Y. Cohen, M. Sprinstin, A. Cohen, I. Zipori, A. Dag, A. Naor

14. Are Thermal Images Adequate For Irrigation Management?

Thermal crop sensing technologies have potential as tools for monitoring and mapping crop water status, improving water use efficiency and precisely managing irrigation. As thermal sensors and imagers became more affordable, various platforms were examined to allow for canopy- and field-scale acquisitions of canopy temperature and to extract maps of water status variability. Various canopy temperature statistics and crop water stress index (CWSI) were used to estimate water stat... O. Rosenberg, V. Alchanatis, Y. Saranga, A. Bosak, Y. Cohen

15. Estimation of Vegetative Biomass Using On-the-Go Mobile Sensors

Non-destructive methods for estimation of vegetative biomass have been developed using several remote sensing strategies as well as physical measurement techniques. An effective method for estimating biomass must be at least as accurate as the accepted standard for destructive removal measurement techniques such as a forage harvester or quad harvest strategies. In large part vegetative biomass is considered a function of canopy or plant height. Subsequently, a method o... J. Pittman

16. Use Of Quality And Quantity Information Towards Evaluating The Importance Of Independent Variables In Yield Prediction

Yield predictions based on remotely sensed data are not always accurate.  Adding meteorological and other data can help, but may also result in over-fitting.  Working with American Crystal Sugar, we were able to demonstrate that the relevance of independent variables can be tested much more reliably when not only yield but also quality attributes are known, such as the sugar content and the s... E. Momsen, J. Xu, D.W. Franzen, J.F. Nowatzki, K. Farahmand, A.M. Denton