The Role of AI and Machine Learning in Advancing Sustainable Biologicals in Agriculture
AI and machine learning solutions can help identify new microbial strains with beneficial agricultural properties, marking them as good candidates to improve biologicals such as biopesticides, biofertilizers, and biostimulants.
2021 Top Article - Advancements in Precision Agricultural Insights
In five to 10 years we will see more aerial and ground robots operating alongside the farmers. And farmers will be able to proactively manage their farms using modern AI capabilities and generate better yields and profits-with optimum sustainability.
What Roles Will AI And Machine Learning Have In Feeding The World?
Models and data analytics not only recap what is already occurring between water and plants across expansive rows of corn, they can actually predict what will come in the hours, days and weeks ahead.
How Machine Learning Plus Weather Information Can Help Us Feed The World
Even if we had perfect weather data everywhere all the time, there are many more uncertainties in a lot of the weather-driven agronomic models that attempt to predict crop stage, disease pressure, and crop performance
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From the Farm to Your Table: How Optics Are Transforming Agrifood Industry
Agriculture is one of the pillars of our economy, providing jobs, revenue, raw materials and essential food products. However, the agricultural sector is facing many challenges, including the impact of climate change, the shortage of skilled labour and the need to produce more efficiently and sustainably. To tackle the problem, the agricultural world is undergoing a transformation thanks to new technologies and innovations based on optical technologies. In this 20-page e-book, we present how optical technologies are changing agrifood industry and the applications it now makes possible from the farm to your table.
