Q & A with IntelinAir's CEO, Al Eisaian. While the march of technology continues to accelerate, I'm very excited about three things happening in the ag-tech industry in relation to aerial technology.
Advancements like nutrient monitoring and early disease detection are only possible using precise, repeatable measurements. To generate such measurements, a multispectral camera must be a "narrow band" camera.
The climate controlled farm will be powered by 100% renewable electricity and recycled irrigation water using proprietary methods that yield more than 30 times that of conventional farms, with higher levels of food safety and environmental sustainability.
Because hydroponics, aeroponics and aquaponics do not use soil, they can be established indoors in locations that have cold, severe climates. These growing methods can also be used in localities that have poor, sandy soil.
Fortunately, our ability to provide useful precipitation forecasts beyond the next few hours is not highly dependent on our ability to measure what has actually happened.
A group grid of points (or virtual sensors) are created by an initial model estimate of the conditions at the surface (and above) and that virtual sensor is then nudged by the observations around it to the more accurate value.
Thermal imagery is a game of correlation: we use long-wave infrared radiation to give us insights on the temperature profile of the field, but we can also make correlations to other weather-sensitive metrics such as grain moisture and anaerobic zones.
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Innovative technology and structure changes how produce will be sourced by hotels and restaurants.
The community of approximately 7,000 residents is located in the mountainous barrio of Bartolo, mostly populated by coffee farmers who migrated to the region in the 18th century.
A sensor without the red edge band may still enable the detection of stress and disease, but it may be after there is a chance to recover yield potential which would result in a reduction of profit per acre.
It's the underlying science tools and heroes of the digital agriculture movement - specifically, machine learning and predictive modeling - that are central to the success of delivering a digital transformation.
Multispectral cameras capture spectral signatures much like a thermometer measures the temperature of the human body. Changes in plant reflectance indicate stress, but additional information is required to identify the cause.
Last year recorded groundbreaking technological advances in agriculture, even as the ag giants focused on consolidation. In looking back over the trends that shaped 2017, we can locate the signs pointing to the big stories we anticipate this year.
As the challenges to the agricultural industry continue to evolve, we must pay attention to the impact on farmers. We must support those who feed us by finding new ways to empower farmers, both professionally and personally.
This show is the perfect place to learn about new capabilities and technologies that are transforming the business of agriculture. You can see the next generation of unmanned technology and see how unmanned systems will advance agriculture today and in the future.
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