TECHNOLOGY FOCUS - INSTRUMENTATION AND TESTING - Preferred Components: The system separates the algae fuel organism into lipids, or oil and the remaining discarded materials, where the algae's carbohydrate content can be fermented through anaerobic digestion into bioethanol and biobutanol or many discarded materials can be placed into a bioreactor to produce methane for fueling the electrical generation system that supplies power to the entire system. The volumetric use of this discarded material to make one or the other of the manufactured materials in this process will be controlled by the expert system. The system will take the discarded materials after the separation of algae lipid fuel oil. Anaerobic digestion is a series of processes in which microorganisms break down biodegradable material in the absence of oxygen. The produced algae oil lipids can be transformed into fuel by hydro cracking (which breaks big molecules into smaller ones using hydrogen) or hydrogenation (which adds hydrogen to molecules). One type of algae, Botryococcus braunii produces a different type of oil, as a triterpene, which is transformed into alkanes by a different process. The system comprises many sensors, spectral sensors, motor controllers, pump controllers, electro mechanical controllers and network devices with the expert system. WMN is a communications network made up of many radio nodes organized in a mesh topology that connects many system growth cell modules. The system WMN consists of mesh clients, mesh routers and gateways. The mesh clients are often laptops, cell phones and other wireless devices while the mesh routers forward traffic to and from the gateways which may but need not connect to the expert system and internet. The coverage area of the radio nodes working as a single network is called a mesh cloud. Access to this mesh cloud is dependent on the radio nodes working in harmony with each other to create a radio network. A mesh network is reliable and offers redundancy for network communications in this network. When one node can no longer operate, the rest of the nodes can still communicate with each other, directly or through at least one intermediate node. Failures of components in the system will then be noticed quickly. The expert system can then be trained to self form and self heal by sounding an alarm when failures do occur for maintenance and replacement of failed devices. WMNs can be implemented with various wireless technology including 802.11, 802.16, and/or cellular technologies. A WMN can be seen as a special type of wireless ad-hoc network. All nodes in a WMN are immobile. The mesh routers may be highly mobile. Often the mesh routers are not limited in terms of resources compared to other nodes in the network and thus can be exploited to perform more resource intensive functions. In this way, the WMN differs from an ad-hoc network since all of these nodes are often constrained by resources. The components of this fuel production system depend on the WMN to control and direct many time dependent functions and actions for full process under expert system control. The system comprises many the methane gas produced in the anaerobic digestion process and uses this methane gas in electrical generation equipment to supply electrical power to many system and devices requiring electrical power. The system further comprises: a growth zone monitoring imager for identifying and mapping the growth of plants within the liquid medium contained in the chamber, according to the expert grid cell pattern; and a network communications link between the expert system and a remote terminal which includes a machine/human interface, thus a remotely situated supervisory individual may communicate with and override the expert system and provide control functions outside of the expert system, which supervisory individual retrains the expert system with new values. The interface includes multiple display means for displaying data from the detection and monitoring means, and diagnostic and environmental control determinations from the expert system to multiple repeaters within the system, even including remote wireless machine/human interface. The environmental control means comprises delivery and control systems for each of the environmental parameters. The environmental parameters include temperature, plant nutrients, carbon dioxide and other gases, water and nutrients and comparable data, or volumetric measurements to assess the movement of the biomass through the array cell structure. The expert system adjusts the delivery and control systems based on a comparison of data from the monitoring and detection systems with optimum conditions stored in the plant database, using a heuristic technique that can be modified by the machine/human interface. The expert system controls operation of the illumination means in response to the spatially distributed image data from the plant stress detection means to achieve a spatial, spectral and temporal distribution of illumination within the growth chamber that optimizes uniform plant growth, maximizes yield, and minimizes power consumption would be compared to the plant life maturity profile stored in the expert system and may be modified through the machine/human interface. In the system, periods of light and dark within the chamber are specific and the periods are controlled by the expert system and may also be modified through the machine/human interface. The expert system controls the illumination and spectral frequency so that illumination is distributed to cells that contain biomass. The expert system controls: illumination on a cell by cell basis within the grid cell pattern, so that illumination is concentrated on growth tubes clustered into a cells within which plant stress is detected; and parameters of maturation. The light sources comprise an array blanket surrounding many growth tubes in a collection called a cell, each lighting blanket of OLEDs, which emit light at differing wavelengths on each pixel in the OLED array blanket, which are distributed within each cell of the grid cell pattern according to a predetermined distribution. In the system, when light is being distributed to biomass within a particular cell, the light energy is modulated according to a predetermined temporal pattern controlled by the expert system. The predetermined temporal pattern includes modulating the light energy between first and second intensity levels at a predetermined frequency. The first intensity is zero and the second intensity has a fixed predetermined value. The predetermined frequency is 200-1100 nm and through the machine/human interface as well as upgraded with further ranges as needed in the future such as thermal and middle wave ranges up to and including a spectral frequency of up to 2500 nm. WMNs can distributed to monitor plant growth, movement of nutrients, gases, control of valves, and pumps in the system as given in the figure 1 of the specification. The system (A1) for achieving optimized plant growth, comprises: a liquid growth chamber consisting of cells which contain many growth tubes either in horizontal or vertical configuration which is sealed off from an ambient environment; imaging means for acquiring and monitoring spatially spectral distributed plant growth information within the growth chamber, where the imaging means comprises at least one device of many cells consisting of a multispectral imager, or a hyperspectral imager; environmental monitoring means for acquiring and monitoring data regarding environmental conditions within the liquid growth chamber; illumination and environmental control means for controlling illumination and environmental conditions in the growth chamber; and an expert system that is coupled to the imaging means and the environmental means, where the expert system is trained to analyze and evaluate crop growth conditions within the liquid growth chamber using a heuristic method, and to control the illumination and environmental control means to achieve optimized biomass crop growth and minimum consumption of energy and nutrients. The system (A2) for controlling crop growth within a growth area, comprises: imaging means for monitoring spatially distributed crop growth information according to a predetermined grid cell pattern within the growth area; and illumination means for controlling spatial, temporal and spectral distribution of illumination within individual cells of the grid cell pattern in response to the crop growth and chemical information. The system (A1) further comprises a communications link between the expert system and a remote terminal which includes a machine/human interface, thus a remotely situated individual may communicate with and override the expert system. The illumination means comprises a matrix of individually operable light sources that corresponds to the grid cell pattern; and the light sources include sources that emit light at many preselected wavelengths. The illumination means comprises an expert system that receives crop growth and chemical information from the imaging means, and controls conditions within each cell of the grid cell pattern in response to the crop growth information, and expert system. Expert system has to do with sensory open and closed loop secure systems, monitoring, sensory systems, decision making, and database operation. The expert system controls the illumination so that illumination is concentrated on cells within which plant stress and delayed maturation is detected. Data from the biomass detection means is used for empirical biomass estimation.