Posted in | News | Bionanotechnology

Nano Labs Introduces Automated Technology to Improve Crop Yields

Nano Labs Corp. today announced yet another high-tech advance relating to greenhouse (GH) farming and agriculture, this being automated technology to control the dynamics of GH CO2 for improved crop yields, reduced energy consumption, and decreased environmental hazards.

Designed to replace conventional manual control systems, the new technology holds promise to increase efficiencies in GH CO2 use by 20%, improve crop yields by up to 25%, and reduce energy consumption by up to 20%, the Company reported.

"Benefits of the new automated technology depend on the type and size of the greenhouse crops, but our analysis shows significant improvements across the board for increased control efficiencies, crop yields, and energy savings for greenhouse farming and agriculture encompassing many billions of dollars of revenue in North America alone," said Dr. Victor Castano, CEO of Innovation at Nano Labs.

Dr. Castano explained that carbon dioxide plays a vital role in greenhouse operations – and in cycles of all plant life on Earth - in that it is necessary to photosynthesis, which basically is a chemical process that uses energy from light to convert CO2 and water into plant sugars. He said conventional manual CO2 enrichment in intensive greenhouse production is a routine procedure that nonetheless involves problematic elements, which Nano Labs' innovations are designed to address.

"Since CO2 is normally obtained from the burning of carbon-based fuels such as natural gas, propane, and kerosene - or directly from tanks of pure CO2 - greenhouse technologists face a dilemma because each CO2 source has disadvantages. The burning of natural gas, propane or kerosene produces not only CO2, but heat that may have a localized effect on temperature and the incidence of plant disease. This is in addition to problems associated with the release of CO2 into the outside atmosphere. Accordingly, we have developed a technology for understanding on a case-by-case basis how CO2 behaves in greenhouses and then, how it can be controlled for better results," Dr. Castano stated.

From a technical standpoint, Dr. Castano explains Nano Labs' automation employs external CO2, solar radiation, exterior temperature, wind speed, and humidity as input variables, creating a unique methodology for optimizing greenhouse operations and production in practically any climate condition with the aim of increasing plant yields, decreasing energy consumption, and reducing CO2 emissions into the outside air. An important feature of the technology is that it can be adapted to specific types of plants and geographical locations.

The international target markets for the Company's technology include big greenhouse growers, manufactures of greenhouses, and farms that use CO2. The advantages include computer control of the CO2 in the greenhouses (instead of an empirical, manual control, which is the normally used), more efficient use of CO2 (up to 20%), less energy consumption depending on size, type of crop, etc., (where preliminary tests indicated savings up to 20 and 30 %), and more efficiency of the crop yield (depending on the plant, preliminary tests indicate up to 25%).

The Company is currently in discussions with a leading agriculture co-op to begin pilot facility testing in Q1 2013. The Company intends to continue to report to industry on the findings and parties interested in learning more are invited to contact Mr. Stephan Licari, Director Global Business Opportunities.

Source: http://nanolabs.us/

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.