scholarly journals Nitrogen Status and Canopy Density Detection of Vegetation Using Multispectral Data

2021 ◽  
Vol 186 (2) ◽  
pp. 156-165
Author(s):  
Oluwole John Pelemo ◽  
Sadioluwa Afolabi ◽  
Maureen Ogoliegbune ◽  
Monisola Awosusi
Keyword(s):  
Heat Stress ◽  
National Park ◽  
Nitrogen Concentration ◽  
Active Area ◽  
Plant Water ◽  
Nitrogen Status ◽  
Canopy Density ◽  
Plant Water Stress ◽  
Multispectral Data ◽  
Percent Nitrogen

The use of ground-based multispectral data for the evaluation of plant water stress and nitrogen status in Old Oyo national Park, Nigeria was conducted and classification was performed. The active area of nitrogen concentration in hectares was between 0.0 and 0.4. This active area was expressed in hectares (ha) and percentages (%) respectively. From the assessment, 53.52 ha (69%) and 24.29 ha (31%) were recorded at 0.2-0.4 and 0.0-0.2 ha, respectively. Heat stress takes place when the regular temperature is above 30 °C, which could slow down plant growth and lead to the threat of deficiency. The heat stress reached a maximum of 40 °C in this analysis between February and May. The research concluded that the sustainability of crops and trees requires a certain quantity of 69 percent nitrogen and a certain level of wetness for their growth which is between 400 mm and 800 mm rainfall.

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

scholarly journals Stem Water Potential and Apple Size

1995 ◽  
Vol 120 (4) ◽  
pp. 577-582 ◽  
Author(s):  
Amos Naor ◽  
Isaac Klein ◽  
Israel Doron
Keyword(s):  
Water Stress ◽  
Stomatal Conductance ◽  
Water Potential ◽  
Fruit Size ◽  
Plant Water ◽  
Stem Water Potential ◽  
Plant Water Stress ◽  
Stem Water ◽  
Irrigation Treatments ◽  
Highly Correlated

The sensitivity of leaf (ψleaf) and stem (ψstem) water potential and stomatal conductance (gs) to soil moisture availability in apple (Malus domestics Borkh.) trees and their correlation with yield components were studied in a field experiment. Two drip irrigation treatments, 440 mm (H) and 210 mm (L), were applied to a `Golden Delicious' apple orchard during cell enlargement stage (55-173 days after full bloom). Data collected included ψstem, y leaf, gs, and soil water potential at 25 (ψsoil-25) and 50 cm (ψsoil-50). No differences in midday ψleaf's were found between irrigation treatments. Stem water potential was higher in the H treatment than in the L treatment in diurnal measurements, and at midday throughout the season. Stomatal conductance of the H treatment was higher than the L treatment throughout the day. Stomatal conductance between 0930 and 1530 hr were highly correlated with ψstem. The H treatment increased the percentage of fruit >65 mm, and increased the proportion of earlier harvested fruit reaching marketable size compared to the L treatment. Fruit size in the first harvest and the total yield were highly correlated with ψstem. The degree of correlation between plant water stress indicators and yield component decreased in the following order: ψstem>ψsoil-25,>ψsoil-50>ψleaf. The data suggest that midday ψstem may serve as a preferable plant water stress indicator with respect to fruit size.

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