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Miteran, J
Sheridan, A
Nadav, I
Nargund, V.B
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Authors
Sheridan, A
Sudduth, K.A
Kitchen, N.R
Cointault, F
Marin, A
Journaux, L
Miteran, J
Martin, R
Nadav, I
Reddy, S
Biradar, D.P
Patil, V.C
Desai, B.L
Nargund, V.B
Patil, P
Desai, V
Tulasigeri, V
Channangi, S.M
John, W
G, S
Biradar, D.P
Desai, B.L
Patil, V.C
Patil, P
Nargund, V.B
Desai, V
John, W
Channangi, S.M
Tulasigeri, V
Goldwasser, Y
Alchanati, V
Goldshtein, E
Cohen, Y
Gips, A
Nadav, I
Topics
Sensor Application in Managing In-season Crop Variability
Modeling and Geo-statistics
Drainage Optimization and Variable Rate Irrigation
Applications of Unmanned Aerial Systems
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Type
Poster
Oral
Year
2010
2018
2022
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Filter results6 paper(s) found.

1. Canopy Reflectance Sensing As Impacted By Corn Hybrid Growth

  Detection of physical and chemical properties within the growing season could help predict the overall health and yield of a corn crop. Little research has been done to show differences of corn hybrids on canopy reflectance sensing. This study was conducted to examine these potential differences during the early- to mid-vegetative growth stages of corn on three different soil types in Missouri. Canopy sensing (Crop Circle) and SPAD chlorophyll meter... A. Sheridan, K.A. Sudduth, N.R. Kitchen

2. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context

... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin

3. Elimination of Spatial Variability Using Variable Rate Drip Irrigation (VRDI) in Vineyards

Vineyards worldwide are subjected to spatial variability, which can be exhibited in both low and high yield areas meaning that the vineyard is not achieving his full yield potential. In addition, the grapes quality is not uniformed leading to different wine qualities from the same plot. The assumption is that a variability in available water for the plant due to soil variability leads to the observed yield variability. A variable rate drip irrigation (VRDI) concept was developed to reduce such... I. Nadav

4. Prototype Unmanned Aerial Sprayer for Plant Protection in Agricultural and Horticultural Crops

Aerial application of pesticides has the potential to reduce the amount of pesticides required as chemicals are applied where needed. A prototype Unmanned Aerial Sprayer with a payload of 20 kg; a spraying rate of 6 liters per minute; a spraying swathe of 3 meters, coverage rate of 2 to 4 meters per second and 10 minutes of flight time was built using state of the art technologies. The project is a joint development by University of Agricultural Sciences, Dharwad, KLE Technological University,... S. Reddy, D.P. Biradar, V.C. Patil, B.L. Desai, V.B. Nargund, P. Patil, V. Desai, V. Tulasigeri, S.M. Channangi, W. John

5. Prototype Unmanned Aerial Sprayer for Plant Protection in Agricultural and Horticultural Crops

Aerial application of pesticides has the potential to reduce the amount of pesticides required as chemicals are applied where needed. A prototype Unmanned Aerial Sprayer with a payload of 20 kg; a spraying rate of 6 liters per minute; a spraying swathe of 3 meters, coverage rate of 2 to 4 meters per second and 10 minutes of flight time was built using state of the art technologies. The project is a joint development by University of Agricultural Sciences, Dharwad, KLE Technological University,... S. G, D.P. Biradar, B.L. Desai, V.C. Patil, P. Patil, V.B. Nargund, V. Desai, W. John, S.M. Channangi, V. Tulasigeri

6. The Use of Spatial and Temporal Measures to Enhance the Sensitivity of Satellite-based Spectral Vegetation Indices to (Water) Stress in Maize Fields

Climate change and water scarcity are reducing the available irrigation water for agriculture thus turning it into a limited resource. Today calculating and estimating crop water requirements are achieved through the ETc FAO-56 model where the effect of climate on crop water requirement is determined through the water evaporation from the soil and plant (ETref), and a calendar crop coefficient (Kc). Models that... Y. Goldwasser, V. Alchanati, E. Goldshtein, Y. Cohen, A. Gips, I. Nadav