Archive for March, 2014

What grapevines do when everybody is sleeping?

Posted: March 30, 2014 by vineyardofthefuture in About the project, News, Research Paper

New study shows results of night-time water losses for grapevines.

By Sigfredo Fuentes



Night-time water uptake (Sn) mainly corresponds to stem and organ rehydration and transpiration, the latter through stomata and cuticle. Nocturnal transpiration is uncoupled from photosynthesis, therefore it contributes to reduce water use efficiency (WUE). Night-time grapevine physiology was measured on field grown grapevines (cv. Shiraz) under partial root-zone drying (PRD) and deficit irrigation (Exp 1), on potted vines (cv. Tempranillo) (Exp. 2) and on potted vines (cv. Cabernet Sauvignon) on a progressive drought treatment in the glasshouse (Exp. 3). Sap flow probes using the compensated heat pulse method (cHP) were installed in vines (Exp. 1 and 3). Night-time gas exchange measurements were performed for Exp. 3. Other vine water status monitoring methods used were: midday stem water potential (Ψs) for all experiments, and abscisic acid (ABA) concentration monitored from leaf sap for Exp. 3. Results showed that Sn was parabolically correlated to Ψs measured on the previous day for all treatments and cultivars. Two distinct zones where vines exhibit different night-time behaviour within the Ψs vs Sn parabolic relationships were identified for all experiments. The differences between the two identified areas were related to the water status conditions of the vines:  i) non-water stress conditions (0 < Ψs < -1.0 MPa); ii) water stress conditions (-1.0 MPa < Ψs < -2.0 MPa). Furthermore, levels of water stress were negatively correlated to concentrations of leaf sap ABA, which helped to explain the parabolic curve found for cv. Cabernet Sauvignon.

Link to full article, click NighttimeVines

By: Sigfredo Fuentes

Presentation given at the Matlab tour 2013, Melbourne – Australia

To view proceedings CLICK HERE














Climate change related phenomena like higher temperatures, increased carbon dioxide concentration in the atmosphere, and more frequent and intensive climatic anomalies, such as heat waves and floods, have placed great pressure on agricultural production around the world. In this scenario, agriculture research and production requires more intensive spatial and temporal monitoring of critical variables to assess the effects of climate change on plant physiology, growth, and fruit quality. Image analysis is becoming an important component in modern agriculture and horticulture. It allows the use of inexpensive devices to acquire meaningful information on crop growth, water status, and quality. In the past, these kinds of technology and analysis were too expensive and required specific know how, which was not readily available to growers. This presentation describes the tools used to solve this problem, such as automated analysis of RGB images and video of plant material, scanned images, and infrared thermal images of canopies to assess plant growth and canopy architectural parameters, leaves and fruit development and plant water status. Results from proposed analysis tools have shown similar outcomes in accuracy and robustness compared to more established techniques. The presenter has developed automated image and video analysis codes using the following MATLAB tools: Image Acquisition Toolbox™, Image Analysis Toolbox™, and Statistical Toolbox™.


Posted: March 12, 2014 by vineyardofthefuture in About the project, News

Viticopter from the Vineyard of the future. The University of Talca (CITRA) – Chile













We have been working in DIY technology to be applied as part of The Vineyard of The Future and it has been picked up by The University of Melbourne to develop easy to do and DIY laboratory kits. Now, students are able to access cheap and robust instrumentation organised as DIY kits, so they can assemble it, program it and acquire different kind of data from crops. This enable student to understand different physiological processes and how to monitor them for practical applications into:

Disease diagnosis

Plant water status for irrigation management

Vigour monitoring and fertiliser use

Spatial and temporal monitoring of physiological parameters using unmanned aerial and terrestrial vehicles (UAV & UTV).


See full video at: