5 AgTech trends to watch in 2024

5 AgTech trends to watch in 2024

In 2023 the agricultural industry faced challenges from extreme weather to supply chain issues. To address these issues and meet the goal of feeding a growing population, researchers and engineering teams developed smart AgTech tools, improving efficiency and yields.

In 2023 the agricultural industry faced challenges from extreme weather to supply chain issues. To address these issues and meet the goal of feeding a growing population, researchers and engineering teams developed smart AgTech tools, improving efficiency and yields. Ron Baruchi, CEO of Agmatix, outlines the key trends anticipated in the agricultural industry over the coming year.

#1: Generative Artificial Intelligence in AgTech

Of all the 2024 trends in digital agriculture, the role played by Gen AI, or generative AI, is likely to be one of the most significant. The potential of Gen AI on the global economy is already being calculated in trillions of dollars. There is a historic opportunity to optimize processes, cut costs, and importantly, fuel innovations through improved modelling to fuel decision-making.

Companies are already using Gen AI through Digital Crop Advisors, allowing agronomists to distill agronomic data into actionable recommendations for farmers. These tools enhance crop management by analyzing big agronomic data, providing AI-supported insights to optimize production practices. This helps farmers understand patterns affecting the performance of crop varieties and production on their specific farms, and tracks climate trends to help farmers become more resilient to the changing climate. 

#2: Using Digital Twins to Optimize Field Trials

An interesting 2024 trend is increased integration of digital twins into field tests and field test planning. A digital twin is a digital model or a virtual representation of an actual physical product, system, or process. These allow researchers and designers to experiment as though they were handling its physical counterpart, reducing the need for expensive and time-consuming field trials. 

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Photo by 愚木混株 cdd20 on Unsplash

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