Login

Proceedings

Find matching any: Reset
No Group
Farm Animals Health and Welfare Monitoring
Precision Crop Protection
Land Improvement and Conservation Practices
Pros and Cons of Reflectance and Fluorescence-based Remote Sensing of Crop
Remote Sensing Applications in Precision Agriculture
Add filter to result:
Authors
Øvergaard, S
Abu Kassim, F
Al-Gaadi, K.A
Al-Gaadi, K.A
Alchanatis, V
Alchanatis, V
Ali, K
Aliabadi Farahani, H
Altobelli, F
Arif, M
Asenso, E
Balasundram, S.K
Banzragch, B.M
Baret, F
Basso, B
Batzorig, E.M
Berdugo, C.A
Bierman, D
Blackmer, T.M
Bonfil, D.J
Boukhalfa, H
Brikman, R
Buchleiter, G.W
Buchleiter, G.W
Buffet, D
Buri, M.M
Caballero-Novella, J.J
Caballero-Novella, J.J
Cammarano, D
Casanova, J.L
Chen, M
Cohen, A
Cohen, Y
Cohen, Y
D'Errico, A
Damdinpurev, N.M
Dar, Z
De Michele, C
Defourny, P
Dehne, H
Dehne, H
Deng, W
Dong, Y
Dufrasne, I
Fiorentino, C
Fraile, S
Furukawa, T
Gómez, S
Gómez-Candón, D
Gómez-Candón, D
GOWDA, H.H
Garcia-Torres, L
Garcia-Torres, L
Gholizadeh, A
Giselsson, T.M
Giselsson, T.M
Goffart, J
Haley, S
Haley, S
Han-ya, I
Han-ya, I
Herrmann, I
Heuer, B
Holmes, G
Hongo, C
Honma, K
Huang, W
Huang, W.M
Isaksson, T
Ishii, K
Ishii, K
Issaka, F
J�??�?�¸rgensen, R.N
Jørgensen, R.N
Ji, Z
Jiuhao, L
Jones, D.L
Jurado-Expósito, M
Jurado-Expósito, M
Karnieli, A
Kaur, R
Khosla, R
Khosla, R
Khosla, R
Kinast, S
Korsaeth, A
Kyveryga, P.M
López-Granados, F
López-Granados, F
Lebeau, F
Lebeau, F
Lemcoff, H
Leonard, A
Leroux, G.D
Levi, A
Li, C
Li, C.M
Li, M
Longchamps, L
Longchamps, L
Longchamps, L
Longchamps, L
Lopez Lozano, R
Lupia, F
Ma, K
Mackin, S
Mahlein, A
Mahmoudi, S
Maki, M
Makkar, M.S
Maréchal, P
Markovits, T
Massinon, M
McMaster, G.S
McMaster, G.S
Midtiby, H.S
Midtiby, H.S
Mistele, B
Mochizuki, R
Mohd Hanif, A
Mohd Soom, M
Moragues, M
Moragues, M
Mukherjee, J
Mulla, D
Mulla, D
Namdarian, I
Naser, M.A
Naser, M.A
Nigon, T
Nigon, T.J
Nino, P
Noguchi, N
Noguchi, N
Oerke, E
Oerke, E
Oki, K
PATIL, V.C
Panneton, B
Patil, V.C
Peña-Barragán, J.M
Peña-Barragán, J.M
Plum, J
Qian, J
Qiao, S
Quoitin, B
REDDY, K.A
Randhawa, R
Rasooli Sharabian, V
Reich, R
Reich, R
Romo, A
Rosen, C
Rosen, C
Rud, R
Rud, R
SHANWAD, U.K
Saberioon, M
Sani, B
Sanz, J
Schmidhalter, U
Sekhon, B.S
Shapira, U
Sharma, A
Sheka Kanu, A
Shirakawa, H
Sigit, G
Simard, M
Song, X
Sprintsin, M
Steiner, U
Steiner, U
Stephens, P
Su, B
Sun, C
Thind, S.K
Tisseyre, B
Tremblay, N
Vadamalai, G
Valcke, R
Van Den Wyngaert, L
Vanino, S
Vuolo, F
Wang, J
Wang, J.M
Xu, X.M
Xu, Z
Yang, G
Yang, G
Yang, H.M
Yang, X
Yang, X.M
Yongtao, L
Yoshida, K
Zhang, Y
Zhao, C
Zhao, C
Zhao, Z
Zhou, J
Zhou, J
de Solan, B
deCastro, A.I
deCastro, A.I
Topics
Remote Sensing Applications in Precision Agriculture
Precision Crop Protection
Pros and Cons of Reflectance and Fluorescence-based Remote Sensing of Crop
Land Improvement and Conservation Practices
Farm Animals Health and Welfare Monitoring
Type
Poster
Oral
Year
2012
2010
2018
2022
Home » Topics » Results

Topics

Filter results46 paper(s) found.

1. Interest Of 3D Modeling For Lai Retrieval From Canopy Transmittance Measurements: The Cases Of Wheat And Vineyard

Remote sensing techniques are now widely used in agriculture, for cultivar screening as well as for decision making tools. Empirical methods relate directly the remote sensing measured values to crop characteristics. These methods are limited by the important amount of ground data necessary for their calibration. Their validity domain is generally not very well defined as well as the associated uncertainties. Conversely, radiative transfer models allow simulating a wide range of conditions, a... B. De solan, R. Lopez lozano, K. Ma, F. Baret, B. Tisseyre

2. Comparative Performance Of Different Remote Sensing (RS) And Geographic Information System (GIS) Techniques Of Wheat Area And Production Estimates

  The major wheat producing countries in the world are India, China, USA, France, Russia, Canada and Australia. Global demand for wheat is growing @ 1% per year. Crop growth and productivity are determined by a large number of factors such as genetic potential of crop cultivar, soil, weather and management variables, which vary significantly across time and space. Early prediction of crop yield is important for planning and taking various policy decisions. Many countries use th... V.C. Patil, K.A. Al-gaadi

3. SPOT5 Multispectral Data Potentialities To Monitor Potato Crop Nitrogen Status At Specific Field Scale

The many challenges facing European agriculture and farm of tomorrow are such that they increasingly require the setting up of Decision Support Systems (DSS) that favour integrated crop management at farm or regional level. A valuable DSS for management of split fertilizer N applications was developed in Belgium for potato crop. It combines total N recommendation based on field predictive balance-sheet method along with Crop Nitrogen Status (CNS) monitoring through hand-held chlorophyll meter... J. Goffart, A. Leonard, D. Buffet, P. Defourny, L. Van den wyngaert

4. A Comparison Of Spectral Reflectance And Laser-induced Cholorphyll Fluorescence Measurements To Detect Differences In Aerial Dry Weight And Nitrogen Update Of Wheat

       Chlorophyll fluorescence and spectral reflectance analysis are both powerful tools to study the spatial and temporal heterogeneity of plants` biomass and nitrogen status. Whereas reflectance techniques have intensively been tested for their use in precision fertilizer application, laser-induced chlorophyll fluorescence has been tested to a lesser degree, and there are hardly any... B. Mistele, U. Schmidhalter

5. Chlorophyll Fluorescence Approaches To Estimate The Vitality Of Plants

  Chlorophyll fluorescence is a now well-established technique for the analysis of photosynthesis in plants and algae. Fluorescence transients (Kautsky curves), exhibited by photosynthetic organisms under different conditions provide detail information about the structure, conformation and function of the photosynthetic apparatus, especially of photosystem II. The analysis of the so-called OJIP-curve and of the pulsed-aplitude-modulated fluorometry in conjunction with the satur... R. Valcke, D. Bierman

6. Evaluation Of The Multiplex® Fluorescence Sensor For The Assessment Of Corn Nitrogen Status

The Multiplex® is a new hand-held optical fluorescence sensor for non-destructive measurement of about 20 parameters descriptive of plant physiological status. The Multiplex is of potential value for in-season assessment of crop nitrogen status, but no evaluation has been released for that matter as of yet. An experiment was therefore conducted which consisted of four nitrogen fertilization treatments with 0, 20, 5... Y. Zhang, N. Tremblay

7. Maturity Grape Indicators Obtained By Means Of Earth Observation Techniques

Wine producers often need to buy grapes from growers. A good selection of grapes allows obtaining the desired wine quality. This paper presents a procedure to obtain by means of earth observation techniques indices and parameters used in the Spanish vineyards to monitor the state of the grapes. In this way is possible to monitor the ripeness of the grapes or the best time to harvest in such a way that growers can get the highest quality grapes, while producers of wine can select the most appr... J. Sanz, A. Romo, J.L. Casanova, S. Fraile

8. Spectral Models for Estimation of Chlorophyll Content, Nitrogen, Moisture Stress and Growth of Wheat Crop

  Field  experiments  were  conducted  during  2009-10  and  2010-11 at  research  farm  of the department of Farm Machinery and Power Engineering, Punjab Agricultural university, Ludhiana.  Three w... B.S. Sekhon, J. Mukherjee, A. Sharma, S.K. Thind, R. Kaur, M.S. Makkar

9. Use of Non-Invasive Sensors to Detect Beneficial Effects of Fungicides on Wheat Physiology

Delay of leaf senescence is a beneficial side effect of fungicides several times studied on cereal crops. Strobilurins have been shown to extend the green leaf area duration (GLAD) for more than one week compared to untreated plants. The use of non-invasive sensors which allow to detect early changes in canopy pigmentation is an excellent method to assess the effect of fungicides on plant senescence. The objective of this study was to evaluate the effect of fungicides on wheat physiology by u... C.A. Berdugo, U. Steiner, E. Oerke, H. Dehne, A. Mahlein

10. Estimating the Plant Stem Emerging Points (PSEPS) of Sugar Beets at Early Growth Stages

Successful intra-row mechanical weed control of sugar beet (beta vulgaris) in early growth stages requires precise knowledge about location of crop plants. A computer vision system for locating Plant Stem Emerging Point (PSEP) of sugar beet in early growth stages was developed and tested. The system is based on detection of individual leaves; each leaf location is described by center of mass and petiole location. After leaf detection the true PSEP locations were annotated manually an... T.M. Giselsson, R.N. Jørgensen, H.S. Midtiby

11. Exploiting the Dmc Satellite Constellation for Applications in Precision Agriculture

This paper presents the unique capabilities of the DMC constellation of optical sensors, and examples of how a number of organisations around the world are exploiting this powerful data source for applications in precision farming. The DMC consists of five satellites built in the UK by Surrey Satellite Technology Ltd, each carrying a wide swath (650km) optical sensor. It is an international programme of satellite ownership and groundstations, with joint campaigns being coordinated c... P. Stephens, S. Mackin, G. Holmes

12. Potential of Visible and Near Infrared Spectroscopy for Prediction of Paddy Soil Physical Properties

A fast and convenient soil analytical technique is needed for soil quality assessment and precision soil management. The main objective of this study was to evaluate the ability of Visible (Vis) and Near-infrared Reflectance Spectroscopy (NIRS) to predict paddy soil physical properties in a typical Malaysian paddy field. To assess the utility of spectroscopy for soil physical characteristics prediction, we used 118 soil samples for laboratory analysis and optical measurement in the Vis-NIR re... A. Gholizadeh, M. Saberioon, M. Mohd soom

13. Can Active Sensor Based NDVI Consistently Classify Wheat Genotypes?

ABSTRACT ... M.A. Naser, R. khosla, S. Haley, R. Reich, L. Longchamps, M. Moragues, G.W. buchleiter, G.S. Mcmaster

14. Variation in Nitrogen Use Efficiency for Multiple Wheat Genotypes across Dryland and Irrigated Cropping Systems

ABSTRACT ... M.A. Naser, R. Khosla, R. Reich, S. Haley, L. longchamps, M. Moragues, G.W. buchleiter, G.S. Mcmaster

15. Automatic Remote Image Processing For Agriculture Uses Through Specific Software

Abstract ... D. Gómez-candón, J.J. Caballero-novella, J.M. Peña-barragán, M. Jurado-expósito, F. López-granados, L. Garcia-torres, A.I. Decastro

16. Position Error of Input Prescription Map Delineated From Remote Images

     The spatial variability of biotic fact... D. Gómez-candón, J.J. Caballero-novella, J.M. Peña-barragán, M. Jurado-expósito, L. Garcia-torres, F. López-granados, A.I. Decastro

17. Comparing Sensing Platforms for Crop Remote Sensing

Remote sensing offers the possibility to obtain a rapid and non-destructive diagnosis of crop health status. This gives the opportunity to apply variable rates of fertilizers to meet the actual crop needs at every locations of the field. However, the commonly used normalized difference vegetation index (ND... R. Khosla, L. Longchamps

18. Development of a Quick Diagnosis Method to Target Fields with Better Potential for Site-Specific Weed Management

Site-specific weed management appears as an innovative way of saving herbicides in crop while maintaining yield. This can potentially lead economic and ecological benefits. However, it was reported in the literature that savings range from 1 % to 94 % from one field to the other. This implies that certain ... B. Panneton, M. Simard, G.D. Leroux, L. Longchamps

19. Comparison and Evaluation of Spray Characteristics of Three Types of Variable-Rate Spray

For the present developing direction of "low-input sustainable agriculture", variable-rate technology is increasingly concerned in agricultural engineering field. The technology of variable-rate precision chemical application is the typical of variable-rate technology. In China, agro-chemical production technology has reached the international advanced level, but the chemical applic... C. Zhao, J. Zhou, W. Deng

20. Estimation of Soil Moisture from RADARSAT-2 Multi-Polarized SAR Data over Wheat Fields

Guijun Yanga... G. Yang

21. Estimation of Rice Yield from MODIS Data in West Java, Indonesia

Chiharu Hongo1*, Takaaki Furukawa1, Gunardi Sigit2, Masayasu Maki3, Koki Honma3,... C. Hongo, T. Furukawa, G. Sigit, M. Maki, K. Honma, K. Yoshida, K. Oki, H. Shirakawa

22. Ground Level Hyperspectral Imagery For Weeds Detection In Wheat Fields

Weeds are a severe pest in agriculture resulting in extensive yield loss. Applying precise weed control has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to automatically locate and identify weeds in order to allow precise control. The objective of the current work is to detect ... D.J. Bonfil, U. Shapira, A. Karnieli, I. Herrmann, S. Kinast

23. Estimation of Leaf Nitrogen Concentration in Barley with In Situ Hyperspectral Measurements

Leaf nitrogen concentration (LNC), a good indicator of nitrogen status in crop, is of special significance to diagnose nutrient stress and guide nitrogen fertilization in fields. Due to its non-destructive and quick advantages, hyperspectral remote sensing plays a unique r... J.M. Wang, C.M. Li, X.M. Yang, W.M. Huang, H.M. Yang, X.M. Xu

24. Applications for Precision Agriculture: the Italian Experience of SIRIUS Project

    This paper reports the results of the project SIRIUS (Sustainable Irrigation water management and River-ba... P. Nino, S. Vanino, F. Lupia, F. Altobelli, F. Vuolo, I. Namdarian, C. De michele

25. Appropriate Wavelengths for Winter Wheat Growth Status Based On Multi-Spectral Crop Reflectance Data

One of the applications of remote sensing in agriculture is to obtain crop status for estimation and management of variable rate of inputs in the crop production. In order to select the appropriate wavelengths relat... I. Han-ya, K. Ishii, N. Noguchi, V. Rasooli sharabian

26. A Non-Destructive Method of Estimating Red Tip Disease in Pineapple

Red Tip disease typically reduces pineapple yields by up to 50%. At present, the causal agent of Red Tip disease is still unconfirmed. B... F. Abu kassim, G. Vadamalai, A. Mohd hanif, S.K. Balasundram

27. Assessment of Land Use Changes in Dirab Region of Saudi Arabia Using Remotely Sensed Imageries

A thorough knowledge of land use changes is important for planning and management activities of land resources.  Moreover, it is considered ... K.A. Al-gaadi

28. Modeling and Decision Support System for Precision Cucumber Protection in Greenhouses

The plant disease... X. Yang, C. Sun, J. Qian, Z. Ji, S. Qiao, M. Chen, C. Zhao, M. Li

29. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models

Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which a... T. Isaksson, A. Korsaeth, S. Øvergaard

30. Soil Resource Appraisal towards Land use Planning Using Satellite Remote Sensing and GIS – A Case Study in Medak Nala Watershed in Northern Karnataka, India

In precision farming, knowledge of spatial variability in soil properties is important. The soil map shows soil series and phases like stoniness, gravelliness, salinity, sodicity... V.C. Patil, H.H. Gowda, K.A. Reddy, U.K. Shanwad

31. Thermography as Sensor for Downy Mildew on Roses

Downy mildew caused by Peronospora sparsa is considered one of the most important diseases affecting cut roses under glass in the tropic. Under f... E. Oerke, H. Dehne, U. Steiner, S. Gómez

32. Remote Sensing Imagery Based Agricultural Land Pattern Extraction around Miyajimanuma Wetland

This research aimed to extract agricultural land use pattern around the Miyajimanuma wetland, Hokkaido, Japan. By combining the image segmentation technology - watershed transform and image classification technology- particle swarm optimization (PSO)-k-means based minimum distance classifier, a new method for extracting the agricultural land use information ... R. Mochizuki, I. Han-ya, N. Noguchi, B. Su, K. Ishii

33. Estimating Crop Leaf Area Index from Remotely Sensed Data: Scale Effects and Scaling Methods

Leaf area index (LAI) of crop canopies is significant for growth condition monitoring and crop yield estimation, and estimating LAI based on remote sensing observations is the normal way to assess regional crop growth. However, the scale effects of LAI make multi-scale observations harder to be fully and effectively utilized for LAI estimation. A systematical statistical str... Y. Dong , J. Wang , C. Li , G. Yang, X. Song, W. Huang

34. Monitoring Drought Stress Index in Wheat Field of Mongolia Using Remote Sensing

Water stress during crop growth, even during short periods of a couple of weeks, is a major cause of yield reduction. The complexity in defining the magnitude of such water stress is due to diversity of crops grown in a given location, variability in soil type and conditions, spatial variability of rainfall, delay in timely of agriculture, and diversity in crop management practices. The problem associated with drought ... B.M. Banzragch, N.M. Damdinpurev, E.M. Batzorig

35. Precision Tools to Evaluate Alternative Weed Management Systems in Soybean

... T.M. Blackmer, P.M. Kyveryga

36. The Effect of Leaf Orientation on Spray Retention on Blackgrass

Spray application efficiency depends on the pesticide application method as well as target properties. A wide range of drop impact angles exists during the spray application process because of drop trajectory and the variability of the leaf orientation. As the effect of impact angle on retention is still poorly documented, laboratory studies were conducted... F. Lebeau, M. Massinon, P. Maréchal, H. Boukhalfa

37. Hyperspectral Imagery for the Detection of Nitrogen Stress in Potato for In-season Management

... T.J. Nigon, C. Rosen, D. Mulla, Y. Cohen, V. Alchanatis, R. Rud

38. Evaluating Water Status in Potato Fields Using Combined Information from RGB and Thermal Aerial Images

Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to ev... Y. Cohen, V. Alchanatis, B. Heuer, H. Lemcoff, M. Sprintsin, C. Rosen, D. Mulla, T. Nigon, Z. Dar, A. Cohen, A. Levi, R. Brikman, T. Markovits, R. Rud

39. BrainWeed - Teach-In System for Adaptive High Speed Crop / Weed Classification and Targeting

Conducting inter row mechanical weeding requires the precise location of each individual crop plant is known. One technique is to record the global position of each seed when sown using  RTK-GPS systems. An... R.N. JÃ???Ã??Ã?¸rgensen, H.S. Midtiby, T.M. Giselsson

40. Monitoring Soybean Root Development under Till-System Management (TSM) at Dry-Farming Conditions

Root system development is very importance for highest soybean (Glycine max L.) grain yield, especially under arid and semiarid conditions. In order to tillage system management (TSM) for achieved to the optimum yield of soybean in dry-farming cond... H. Aliabadi farahani, B. Sani

41. Understanding Spatial and Temporal Variability of Wheat Yield: An Integrated System Approach

Spatial variation in soil water and nitrogen are often the causes of crop yield spatial variability due to their influence on the uniformity of plant stand at emergence and for in-season stresses. Natural and acquired variability in production capacity or potential within a field causes uniform agronomic management practices for the field to be correct in some parts and inappropriate in others. To ... B. Basso, C. Fiorentino, D. Cammarano, A. D'errico

42. Spectral Characterization to Discriminate Grass Weeds from Wheat Crop Using Remote Sensing and GIS for Precision Agriculture and Environmental Sustainability

Kaur, Ramanjit, Mahey RK, Mahal JS, Kingra PK and Kaur Pukhraj ... R. Randhawa

43. Organic Nitrogen Uptake: A Novel Pathway to Improve Nitrogen Use Efficiency and Crop Productivity

Formulation of amino acid N fertilizer and uptake of organic N by plants has the ability not only to ensure N availability to plants particularly in N-limiting environments but also can manipulate the environmental hazards associated with over inorganic N fertilization. To support this view, clear experimental evidence is still lacking. In addition, the current experiments aimed to evaluate the uptake of organic N (Amino acid based N fertilizer) by plants in comparison with inorganic fertiliz... K. Ali, D.L. Jones, M. Arif

44. Characterization of Soil Properties, Nutrient Distribution and Rice (Oryza Sativa.) Productivity As Influenced by Tillage Methods in a Typical Gleysols

Global emphasis and interest in conservation Tillage in agricultural soils has tremendously increased in the last few years, especially no tillage with its potential to improve soil physicochemical properties, reduce nutrient leaching as well as improve crop productivity in a more sustainable manner.  Several questions still exist with regard to the true role of no tillage in improving soil fertility. A two year field study was conducted to characterize the effects of different tillage m... F. Issaka, L. Yongtao, L. Jiuhao, M.M. Buri, E. Asenso, A. Sheka kanu, Z. Zhao

45. Detect Estrus in Sows Using a Lidar Sensor and Machine Learning

Accurate estrus detection of sows is labor intensive and is crucial to achieve high farrowing rate. This study aims to develop a method to detect accurate estrus time by monitoring the change in vulvar swollenness around estrus using a light detection and ranging (LiDAR) camera. The measurement accuracy of the LiDAR camera was evaluated in laboratory conditions before it was used in monitoring sows in a swine research facility. In this study, twelve multiparous individually housed sows were c... J. Zhou, Z. Xu

46. Use of Watering Hole Data As a Decision Support Tool for the Management of a Grazing Herd of Cattle

Establish grazing practices would improve the welfare of the animals, allowing them to express more natural behaviours. However, free-range reduces the ability to monitor the animals, thus increase the time needed to intervene in the event of a health problem. To ease the adoption of grazing, farmer would benefit from autonomously collected indicators at pasture that identify abnormal behaviours possibly related to a health problem in a bovine. These indicators must be individualised and coll... J. Plum, B. Quoitin, I. Dufrasne, S. Mahmoudi, F. Lebeau