Login

Proceedings

Find matching any: Reset
Upadhyaya, P
Upadhyaya, S
Add filter to result:
Authors
Upadhyaya, S
Balakrishnan, P
Pujari, B
Patil, M
Kanannavar, P
Upadhyaya, S
Balakrishnan, P
Pujari, B
Patil, M
Kanannavar, P
Dhillon, R
Udompetaikul, V
Rojo, F
Upadhyaya, S
Slaughter, D
Lampinen, B
Shackel, K
Udompetaikul, V
Upadhyaya, S
Lampinen, B
Slaughter, D
Crawford, K
Upadhyaya, S
Dhillon, R
Rojo, F
Roach, J
Bazzi, C.L
Schenatto, K
Upadhyaya, S
Rojo, F
Upadhyaya, P
Karkee, M
Zhang, X
Kashetri, S
Topics
Spatial Variability in Crop, Soil and Natural Resources
Proximal Sensing in Precision Agriculture
Sensor Application in Managing In-season Crop Variability
Remote Sensing Applications in Precision Agriculture
Decision Support Systems
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2012
2010
2014
2018
2022
Home » Authors » Results

Authors

Filter results7 paper(s) found.

1. Development Of A Sensor Suite To Determine Plant Water Potential

The goal of this research was to develop a mobile sensor suite to determine plant water status in almonds and walnuts. The sensor suite consisted of an infrared thermometer to measure leaf temperature and additional sensors to measure relevant ambient conditions such as light intensity, air temperature, air humidity, and wind speed. In the Summer of 2009, the system was used to study the relationship between leaf temperature, plant water status, and relevant microclimatic information in an almond... V. Udompetaikul, S. Upadhyaya, B. Lampinen, D. Slaughter

2. Impact Of Precision Leveling On Spatial Variability Of Moisture Conservation In Arid Zones Of Karnataka

... S. Upadhyaya, P. Balakrishnan, B. Pujari, M. Patil, P. Kanannavar

3. Laser Leveling Holds a Lot Of Promise in Water Conservation and Saving in Dry Zones (Drought Prone Areas) of Karnataka

... S. Upadhyaya, P. Balakrishnan, B. Pujari, M. Patil, P. Kanannavar

4. Evaluation of the Sensor Suite for Detection of Plant Water Stress in Orchard and Vineyard Crops

A mobile sensor suite was developed and evaluated to predict plant water status by measuring the leaf temperature of nut trees and grapevines. It consists of an infrared thermometer to measure leaf temperature along with relevant ambient condition sensors to measure microclimatic variables in the vicinity of the leaf. Sensor suite was successfully evaluated in three crops (almonds, walnuts and grapevines) for both sunlit and shaded leaves. Stepwise linear regression models developed for shaded... R. Dhillon, V. Udompetaikul, F. Rojo, S. Upadhyaya, D. Slaughter, B. lampinen, K. Shackel

5. 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 to... K. Crawford, S. Upadhyaya, R. Dhillon, F. Rojo, J. Roach

6. Optimal Placement of Proximal Sensors for Precision Irrigation in Tree Crops

In agriculture, use of sensors and controllers to apply only the quantity of water required, where and when it is needed (i.e., precision irrigation), is growing in importance. The goal of this study was to generate relatively homogeneous management zones and determine optimal placement of just a few sensors within each management zone so that reliable estimation of plant water status could be obtained to implement precision irrigation in a 2.0 ha almond orchard located in California, USA. First... C.L. Bazzi, K. Schenatto, S. Upadhyaya, F. Rojo

7. Automated Lag Phase Detection in Wine Grapes

Crop yield estimation, an important managerial tool for vineyard managers, plays a crucial role in planning pre/post-harvest operations to achieve desired yield and improve efficiency of various field operations. Although various technological approaches have been developed in the past for automated yield estimation in wine grapes, challenges such as cost and complexity of the technology, need of higher technical expertise for their operation and insufficient accuracy have caused major concerns... P. Upadhyaya, M. Karkee, X. Zhang, S. Kashetri