The emergence of new technologies has brought forth a wave of disruption that has paralleled the agricultural value chain, induced by altered land usage, sustainability, increased land turnover and changing customer preference. But the major question still remains— how to come up with new ways to revolutionize agriculture technology for good? Coincidentally the agriculture technology—or simply called AgTech— landscape has evolved from niche opportunities to legitimate technology assets with investment allocations. With the maturing of AgTech investment, the market is witnessing an increased appetite for artificial intelligence platforms to make a leap from precision to “predictive” agriculture. As key products in seed and chemistry have changed with disruptive technology, so has the wave of consolidation for innovation and cost efficiency. To establish AgTech excellence, the focus is on novel chemistries, adoption of biotechnology, imaging technologies, smart robots, and other emerging technologies to shape the investment in this space.
A connected farm is a key to the future. With the explosion of interest in the internet and accurate sensors, the agriculture industry could definitely use a good boost of data accumulation. But then again, there is no point in accumulating large amounts of data when we are unable to make sense of it. That is where artificial intelligence (AI) and machine learning come in. By spotting underlying patterns and an enhanced processing power, this superior technology allows for accurate modeling and simulations to effectively test and study agricultural practices in a virtual environment before its actual implementation.
Choosing the apt startup partner is a needle in a haystack for CIOs worldwide. Eliminating the malady, a distinguished panel of CEOs, CIOs, and agriculture analysts has narrowed down on the AgTech startups that exhibit competence in delivering innovation in agriculture technology.
We present to you StartupCity’s “15 Most Promising AgTech Startups - 2018.”