Gene A Giacomelli

Gene A Giacomelli

Professor, Agricultural-Biosystems Engineering
Professor, Applied BioSciences - GIDP
Professor, Plant Science
Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 626-9566

Work Summary

Gene Giacmomelli's research focus includes controlled environment plant productions systems [greenhouse and growth chamber] research, design, development and applications, with emphases on: crop production systems, nutrient delivery systems, environmental control, mechanization, and labor productivity.

Research Interest

Gene Giacomelli, PhD, is the director of the CEAC, or interdisciplinary education, research and outreach program for greenhouse and other advanced technology systems. Here at the University of Arizona, he teaches Controlled Environment Systems, which is an introduction to the technical aspects of greenhouse design, environmental control, nutrient delivery systems, hydroponic crop production, intensive field production systems, and post-harvest handling and storage of crops. His research interests include controlled environment plant productions systems (greenhouse and growth chamber) research, design, development and applications, with emphases on: crop production systems, nutrient delivery systems, environmental control, mechanization, and labor productivity.

Publications

Giacomelli, G. A., Ling, P. P., & Kole, J. (1998). Determining nutrient stress in lettuce plants with machine vision technology. HortTechnology, 8(3), 361-365.

Abstract:

The rate of change of top projected leaf area (TPLA) of lettuce (Lactuca sativa L.) seedlings was determined with machine vision technology. Differences of TPLA between control and treatment plants were detectable with this technique within 48 hours from the onset of an imposed nutrient stress. The nutrient stress treatments were 0%, 50%, 150% of the control (100%). There were no differences for the 50% and 150% treatments compared to the control plants, even after a 6-day observation period. However, the 0% treatment caused different TPLA expansion within 48 hours and required a recovery period of 3 or 4 days after being returned to normal EC levels before again attaining prestressed growth rates.

Giacomelli, G. A. (1998). Monitoring plant water requirements within integrated crop production systems. Acta Horticulturae, 458, 21-27.

Abstract:

Water management is an essential task for all crop production. However, it is difficult to determine short term plant water needs, as the plant does not exhibit readily detectable indicators of stress until well beyond optimum water conditions. The plant utilizes water in several critical ways, such as, to maintain turgidity, for nutrient uptake, and in photosynthesis, all of which vary in proportion to the environmental conditions. The traditional procedure for supplying plant water needs is to provide a storage of water within the root zone which becomes an immediately available source. Soil or soilless mixes for potted plants have moisture contents which can range from field capacity after watering, to high soil water tensions associated with the onset of wilting conditions of the plant. Alternatively, the root zone volume and storage capacity has for some crops been significantly reduced, requiring a more "on-demand" water feeding schedule. Hydroponic crop production systems, for example, ebb and flood, where there is little or no buffer within the root zone for water, require automated watering schemes which are extremely dependable, reasonably accurate, and uniform in distribution for production of quality crops. In theory, the plant transpires water and thus requires replenishment at rates which are dependent on the plant microclimate (leaf temperature, solar radiation, air humidity, wind speed), as well as, the plant age, morphology, health, and the ease at which the water is available within the root zone. Water requirement can be determined in either of two ways: (1) correlated to plant and its environment with physical or mathematical models, or (2) measured directly with an electronic transducer, such as with stem "sap flow" device. Each has been applied to selected plants species with reasonable success, but generally maintaining some margin of safety, through a water storage buffer within the root zone. The most practical application of each procedure has been in minimizing over-watering and minimizing plant stress while utilizing traditional irrigation techniques. The "speaking plant" approach can provide new opportunities for application of water and nutrients, and ultimately for control of plant growth, but such procedures require that one must "listen" to the speaking plant. Tjie challenge is to focus on the development of sensors to interpret the plant indicators, and then to respond to them within a control system. Machine vision which utilizes the spectral features (by reflectance), or morphological features (physical shape or dynamic growth response) of the plant is one relatively new option for determining the real-time plant condition. Real-time sensors that directly monitor the plant and its water requirements, which are non-intrusive, non-invasive, reliably calibrated, and integrated within a microclimate control system will be necessary for the ultimate success of such systems. In this paper, the plant water requirements, the delivery systems and the potential of automated monitoring of plant water status within integrated crop production systems will be discussed.

Giacomelli, G. A., Giniger, M. S., & Krass, A. E. (1985). UTILIZATION OF THE ENERGY BLANKET FOR EVAPORATIVE COOLING OF THE GREENHOUSE.. Paper - American Society of Agricultural Engineers.

Abstract:

The ability to cool greenhouse air is essential in growing many warm weather greenhouse crops. Present methods, such as fan-and-pad cooling are lacking in both the amount of cooling at high humidity and the uniformity of distribution of cooled air within the greenhouse. One method, a wetted overhead energy-saving blanket, was devised and tested. The blanket (open weave, 55% shading) acted as an evaporative cooling surface when wetted by mist nozzles placed in the greenhouse attic above the blanket. Results have shown good uniformity as well as temperature reduction of up to 8 degree C.

Giacomelli, G. A., Villarreal-Guerrero, . F., Kacira, ., , R., Linker, ., Giacomelli, ., & Kubota, C. (2012). Implementation of a Greenhouse Cooling Strategy with Natural Ventilation and Variable Fogging Rates. Transactions of ASABE.
Chao, K., Ting, K. C., & Giacomelli, G. A. (1997). Foundation class library design for global BLSS models. Paper - American Society of Agricultural Engineers, 1.

Abstract:

The successful modeling of Bioregenerative Life Support Systems (BLSS) for deriving answers to system level questions depends mainly on the systems abstraction. ACE_SYS-oriented analysis is performed to identify the essential component modules for the BLSS as well as the interrelationships among them. The object oriented design for the BLSS is performed based on the outcome of the systems analysis. A set of foundation class library and building blocks for the BLSS models have been developed by translating the object classes and relationships developed during the object oriented design.