515-223-5119 info@ineda.com

Editor’s note: Senior Multi-Media Specialist Matt Hopkins has been compiling his list of the best mobile apps in agriculture since 2010. In the slideshow below you’ll find more than 30 apps worthy of downloading in 2025. Inclusion on the list is based on research and evaluation of new or recently updated farming apps available for Androids, iPhones, and iPads. The list also includes several older apps that may have been off your radar but still deserve your attention. In addition, Hopkins shares insight from industry experts on how Artificial Intelligence (AI) is impacting the development and use of agricultural apps.

A new era of mobile app development in agriculture is upon us. Tools like artificial intelligence (AI) and Machine Learning (ML) have given developers the ability to create apps that are more personalized, intuitive, and engaging than ever before.

The real winner here, of course, is the user. Ag professionals now have at their disposal an abundance of AI-based apps that are allowing them to perform their jobs more efficiently. Just browse through this year’s list in the slideshow above and you will find several apps that are powered by AI and/or machine learning. These include AGMRI, xarvio Field Manager, yieldsApp, Orbit, Insights by Prospera, Agtrinsic, BeCrop, Phytech, CropWise AI, Taranis Ag Assistant, and more.

Whether it’s an app that is using machine learning to provide customized crop advice based on past harvest data and current conditions, or one that is incorporating AI to guide farmers on sustainable practices, the number of smart apps putting the power of AI right into the user’s hand continues to grow.

“AI has enabled the effective use of vast amounts of agricultural data, providing mobile app users with actionable insights and the ability to identify root causes for problem solving in-season or to plan for the next crop season,” says Tim Hassinger, President and CEO of Intelinair, which provides agronomic field insights and analytics through its flagship product AGMRI.

In addition, AI has significantly improved agricultural apps by providing more accurate predictive analytics, personalized recommendations, and real-time data processing, says Joshua Ellis, Vice President at yieldsApp, a cutting-edge platform that provides agribusinesses and farmers with precise, data-driven insights.

“Features like dynamic crop management protocols, advanced pest and disease detection, and weather-driven recommendations are just a few examples of how AI has empowered farmers to make more informed decisions and optimize their operations,” he says.

AI has also taken the user experience with apps to another level, says Reinder Prins, Head of Marketing at INCYT, which supports businesses in becoming more efficient through its Operational Insights System.

“AI has helped with UI/UX design, it has helped to speed up development, but it has also allowed app developers to automate certain steps for users,” he says. “For example, instead of having to input a bunch of information into an app for a calculation or to achieve some kind of result for the end user, AI (either through Machine Learning or Deep Learning) is able to figure out what’s needed and do all this work in the background. In the end, this will result in a much better user experience as app users are getting the result of what they’re using the app for a lot quicker than they would have been able to previously.”

AI Trends to Watch in 2025

Where do AI-powered apps go from here? There are several key trends to keep a close eye on this year and beyond, according to experts.

“One significant trend will be the shift from traditional user experiences to more voice and chat capabilities, allowing users to interact with apps in ways that align better with the way they think,” says Intelinair’s Hassinger. “Additionally, collaborations will emerge to integrate diverse data sets helping to address a broader range of user questions.”

INCYT’s Prins agrees, “Most consumers are already used to working with Chat GPT and the like, and increasingly companies are offering their own white-labeled version of these chatbots as well, in scenarios where they are primed with specific background information that pertains to this company’s products or services,” he says. “Both examples (Chat GPT and white-labeled chatbots) show that Gen AI tools are very useful, widely accepted for certain uses, and easily adopted by a large cohort of users. I think we’ll see a lot more aggregating of knowledge in a chatbots in 2025, as this is the ‘low-hanging fruit’ that is easy to achieve.”

Another important trend to watch is the increased ability of technology companies to use Generative AI for processing large, complex, unstructured data sets, says Prins.

“Agriculture is an industry that has a relatively high volume of unstructured data, long product development cycles, and an infinite amount of variables (e.g., soil characteristics, weather, other seasonal influences such as planting dates), so Gen AI holds great promise for the agricultural industry,” he says.

App users should also expect enhancements in automation and autonomy via AI, according to experts.

“With the rise of advanced drones for crop monitoring, next-generation sensors that track air quality, plant tissue analysis and root development, and AI-driven product testing, agriculture is moving toward a fully automated and comprehensive management approach,” says yieldsApp’s Ellis. “Machine learning advancements will further enhance predictive capabilities, allowing for more precise forecasting and personalized agronomic advice. Full automation, from data collection to actionable insights, will significantly reduce manual intervention, optimizing efficiency across the entire farm cycle.”

Prins agrees: “The next step is for AI to autonomously start making decisions for farmers (instead of just informing them) and tasking equipment with executing on these decisions. I don’t think that’s happening anywhere yet, although I’m convinced that this will be huge in years to come.”

2025 List of Apps for Agriculture

I’ve once again researched and evaluated the newest farming apps available for Androids, iPads, iPhones, and more. The apps listed in the slideshow – many of which are AI-powered – were either introduced or significantly updated in 2024. I’ve also included several older apps that may have been off your radar but are still worthy of downloading. Here’s a breakdown of what you can expect to find in the slideshow, which will receive updates throughout the year.

  • Total Apps Featured: 33
  • Number of AI-Based Apps: 13
  • Most Common Type: Precision Ag, Farm Management, Customer Service

Want more agriculture apps? Be sure to check out these other lists. If you have a favorite new app that is on my list or one that is not, tell me about it at matt@croplife.com or post a comment below.