Detection of Plant Water Stress Using Leaf Temperature and Microclimatic Measurements in Almond, Walnut, and Grape Crops

2014 ◽  
pp. 297-304
Keyword(s):  
Water Stress ◽  
Leaf Temperature ◽  
Plant Water ◽  
Plant Water Stress

Plant Water Stress Detection Using Leaf Temperature and Microclimatic Information

2011 ◽  
Author(s):  
Vasu Udompetaikul ◽  
Shrini K Upadhyaya ◽  
David C Slaughter ◽  
Bruce D Lampinen ◽  
Ken A Shackel
Keyword(s):  
Water Stress ◽  
Leaf Temperature ◽  
Plant Water ◽  
Stress Detection ◽  
Plant Water Stress

Development of a Continuous Leaf Monitoring System to Predict Plant Water Status

2017 ◽  
Vol 60 (5) ◽  
pp. 1445-1455 ◽  
Author(s):  
Rajveer S. Dhillon ◽  
Shrini K. Upadhaya ◽  
Francisco Rojo ◽  
Jed Roach ◽  
Robert W. Coates ◽  
...  
Keyword(s):  
Water Stress ◽  
Data Collection ◽  
Water Status ◽  
Irrigation Scheduling ◽  
Leaf Temperature ◽  
Plant Water Status ◽  
Mesh Network ◽  
Plant Water ◽  
Plant Water Stress ◽  
Precision Irrigation

Abstract. There is increased demand for irrigation scheduling tools that support effective use of the limited supply of irrigation water. An efficient precision irrigation system requires water to be delivered based on crop needs by measuring or estimating plant water stress. Leaf temperature is a good indicator of water stress. In this study, a system was developed to monitor leaf temperature and microclimatic environmental variables to predict plant water stress. This system, called the leaf monitor, monitored plant water status by continuously measuring leaf temperature, air temperature, relative humidity, ambient light, and wind conditions in the vicinity of a shaded leaf. The system also included a leaf holder, a solar radiation diffuser dome, and a wind barrier for improved performance of the unit. Controlled wind speed and consistent light conditions were created around the leaf to reduce the effect of nuisance variables on leaf temperature. The leaf monitor was incorporated into a mesh network of wireless nodes for sensor data collection and remote valve control. The system was evaluated for remote data collection in commercial orchards. Experiments were conducted during the 2013 and 2014 growing seasons in walnut () and almond () orchards. The system was found to be reliable and capable of providing real-time visualization of the data remotely, with minimal technical problems. Leaf monitor data were used to develop modified crop water stress index (MCWSI) values for quantifying plant water stress levels. Keywords: Almonds, CWSI, Infrared sensor, Irrigation scheduling, Leaf temperature, Nut crops, Plant water stress, Precision irrigation, Stem water potential, Walnuts, Wireless mesh network.

Plant Water Stress, Leaf Temperature, and Spider Mite (Acari: Tetranychidae) Outbreaks in California Vineyards

2010 ◽  
Vol 39 (4) ◽  
pp. 1232-1241 ◽  
Author(s):  
Menelaos C. Stavrinides ◽  
Kent M. Daane ◽  
Bruce D. Lampinen ◽  
Nicholas J. Mills
Keyword(s):  
Water Stress ◽  
Spider Mite ◽  
Leaf Temperature ◽  
Plant Water ◽  
Plant Water Stress

Detection of Plant Water Stress Using Leaf Temperature Measurements for Vineyard and Nut Crops

2012 ◽  
Author(s):  
Rajveer Dhillon ◽  
Vasu Udompetaikul ◽  
Francisco Rojo ◽  
Jedediah Roach ◽  
Shrini Upadhyaya ◽  
...  
Keyword(s):  
Water Stress ◽  
Leaf Temperature ◽  
Temperature Measurements ◽  
Plant Water ◽  
Plant Water Stress

scholarly journals Leaf compatible “eco-friendly” temperature sensor clip for high density monitoring wireless networks

2017 ◽  
Vol 4 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Valeria Palazzari ◽  
Paolo Mezzanotte ◽  
Federico Alimenti ◽  
Francesco Fratini ◽  
Giulia Orecchini ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Stress ◽  
Temperature Sensor ◽  
Irrigation System ◽  
Fuel Oil ◽  
Plant Water ◽  
Temperature Differential ◽  
Water Pump ◽  
Plant Water Stress ◽  
System A

This paper describes the design, realization, and application of a custom temperature sensor devoted to the monitoring of the temperature differential between the leaf and the air. This difference is strictly related to the plant water stress and can be used as an input information for an intelligent and flexible irrigation system. A wireless temperature sensor network can be thought as a decision support system used to start irrigation when effectively needed by the cultivation, thus saving water, pump fuel oil, and preventing plant illness caused by over-watering.

scholarly journals Reducing the Excessive Evaporative Demand Improved the Water-use Efficiency of Greenhouse Cucumber by Regulating the Trade-off between Irrigation Demand and Plant Productivity

HortScience ◽  
2018 ◽  
Vol 53 (12) ◽  
pp. 1784-1790 ◽  
Author(s):  
Dalong Zhang ◽  
Yuping Liu ◽  
Yang Li ◽  
Lijie Qin ◽  
Jun Li ◽  
...  
Keyword(s):  
Water Stress ◽  
Water Use Efficiency ◽  
Water Flow ◽  
Water Use ◽  
Plant Productivity ◽  
Plant Water ◽  
Evaporative Demand ◽  
Plant Water Stress ◽  
Irrigation Demand ◽  
Use Efficiency

Although atmospheric evaporative demand mediates water flow and constrains water-use efficiency (WUE) to a large extent, the potential to reduce irrigation demand and improve water productivity by regulating the atmospheric water driving force is highly uncertain. To bridge this gap, water transport in combination with plant productivity was examined in cucumber (Cucumis sativus L.) grown at contrasting evaporative demand gradients. Reducing the excessive vapor pressure deficit (VPD) decreased the water flow rate, which reduced irrigation consumption significantly by 16.4%. Reducing excessive evaporative demand moderated plant water stress, as leaf dehydration, hydraulic limitation, and excessive negative water potential were prevented by maintaining water balance in the low-VPD treatment. The moderation of plant water stress by reducing evaporative demand sustained stomatal function for photosynthesis and plant growth, which increased substantially fruit yield and shoot biomass by 20.1% and 18.4%, respectively. From a physiological perspective, a reduction in irrigation demand and an improvement in plant productivity were achieved concomitantly by reducing the excessive VPD. Consequently, WUE based on the criteria of plant biomass and fruit yield was increased significantly by 43.1% and 40.5%, respectively.

Is the Keetch–Byram drought index (KBDI) directly related to plant water stress?

2006 ◽  
Vol 234 ◽  
pp. S27 ◽  
Author(s):  
Gavriil Xanthopoulos ◽  
Georgios Maheras ◽  
Vassiliki Gouma ◽  
Markos Gouvas
Keyword(s):  
Water Stress ◽  
Drought Index ◽  
Plant Water ◽  
Plant Water Stress
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