Plant canopy phenology data is acquired using satellite image data on geo-referenced farms. Incorporating spatial variability into a digital farming decision-making model, the data are further analyzed for spectral signatures of early biotic and abiotic stress symptoms. Our services include soil and water stress observation, site-specif
Plant canopy phenology data is acquired using satellite image data on geo-referenced farms. Incorporating spatial variability into a digital farming decision-making model, the data are further analyzed for spectral signatures of early biotic and abiotic stress symptoms. Our services include soil and water stress observation, site-specific nutrition management, and establishing integrated pest management with early detection of biotic stress from fungus, bacteria, and viruses. Additionally, we will provide a mobile farm management platform service to make the digital farm management system more accessible and adaptable for farmers.
Our team is passionate about agricultural innovation and we believe that by working together, we can help create a better and more sustainable future. Remote sensing technology with artificial intelligent(AI) will apply to establish an automated farm management model and the application of our model to variable rate technology(VRT) will
Our team is passionate about agricultural innovation and we believe that by working together, we can help create a better and more sustainable future. Remote sensing technology with artificial intelligent(AI) will apply to establish an automated farm management model and the application of our model to variable rate technology(VRT) will also populate an integrated site-specific farm service such as differential seeding, target fertilizing and spraying, and selective harvesting.
The fight against climate change
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[ScienceDirect] Smart Agricultural Technology
Volume 8, August 2024,100464
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