SIKO supports development project for autonomously operating harvesting vehicle in fruit orchards - Autonomous robot for harvesting apples
Measurement and sensor solutions from SIKO are not only found in established industrial applications, SIKO GmbH is also currently supporting an agricultural research and development project with two rotary encoders from its range for mobile machines.
Farmers on the cutting edge of agriculture often use advanced techniques to evaluate their crops. Rather than cutting open fruit and sending the samples to a lab, some farmers have begun using nondestructive methods for quality control.
Previously, Lee relied on hand-held digital and mercury thermometers to monitor the bogs' nighttime temperatures, but he wanted a more autonomous and hierarchical system that allowed for continuous monitoring of multiple variables.
Smart technology can benefit many industries and application areas. IoT (specifically sensors), smart systems used to control and monitor conditions, drones, and predictive analytics are all hugely beneficial, particularly for the vertical farming sector.
By using extensive sensor networks for monitoring crops and growing systems, vertical farms can optimize their workflow by helping operators efficiently pinpoint problems. This would serve to reduce labor complexities and thus manpower required.
Technology breakthroughs and innovative design have resulted in a new way to monitor and control the future of food production. Ensora Systems powers its monitoring and communications with any light - from LED light to sunlight.
New agri-tech vertical farm system is reshaping agriculture to sustain the growing population with high-yield crops
Higher yields can be achieved by artificially increasing the CO2 concentration in the greenhouse, especially for vegetables. This offers greenhouse operators an enormous competitive advantage compared to outdoor cultivation.
CO2, humidity and temperature sensors must provide accurate and reliable measurement results to the climate control system in the greenhouse. Inaccurate or even false readings impact on productivity and, in the worst case, can jeopardize the entire harvest.
When precision is needed to improve the yield of a grow room, consider all the factors that must be controlled. Integrating sensors to monitor these attributes are key to improving the environmental conditions of a grower.
Freight Farms and Sodexo Announce Strategic National Partnership to Grow Food Onsite at School Campuses Across the U.S.
With sustainability and transparency in mind, partnership will enable year-round on-campus food production at university and K-12 educational institutions and other national Sodexo clients.
As the availability and volume of data to help us understand what is happening or will happen in an agricultural field or orchard continues to grow exponentially, the challenge we now face is how to collect, synthesize and use this data.
By positioning sensors, farmers can understand their crops at a micro scale, sustain resources, and reduce environmental impact.
With our B2B commercial model, we have developed automated commercial containers for the cultivation of both medical cannabis, as well as vegetables and herbs.
New HOBOnet Field Monitoring System from Onset Enables Cost-Effective Cloud-based Monitoring of Environmental Conditions across Fields and Greenhouses
HOBOnet gives growers and researchers greater visibility into field conditions with near real-time data from wireless sensors, alert notifications, and access via mobile devices
Records 1 to 15 of 34
Rollon's X-Rail linear rails are a reliable solution in environments susceptible to impurities. Equipped with rolling elements with shaped and flat raceways, they are available in several versions: galvanized, nitrided or stainless-steel sheet metal. The latter version ensures total corrosion resistance, which is critical for hostile environments such as those found in vertical farming. Particularly innovative is the T + U configuration of the X-Rail linear rails, which can compensate for the parallelism errors of mounting surfaces. This simplifies installation and reduces costs.