7-Step checklist for evaluating the right farm management software

Gautam Karajgi
May 14, 2025
7 min read

The use of technology in agriculture started as early as the 1960s with the Green Revolution. The decades that followed brought significant improvements in machines and methods and technology presented novel methods of dealing with the imminent food crisis. But it wasn’t until the post-internet boom that the use of agriculture software and mobile devices entered the world of agriculture technology and ushered in the era of Digital Farming.

Digital Farming is the application of location-based data and other relevant agronomic information to scientifically augment the cultivation process from sowing to harvesting. It encompasses every step in the journey of agriculture. As per a recent research report, the global smart farming market is expected to touch $23.14 billion by 2022, showing a compound annual growth rate of almost 20% from 2017 to 2022

Why digital farming needs to succeed: The need for farm management systems

The benefits of technology in agriculture are more than apparent. While developed countries have been early adopters, the lure of utilizing a more scientific and technologically-aware approach to food production is now seeing widespread adoption in developing countries like India and many others in Asia and Africa.

Digital Farming is a confluence of various advanced agriculture technologies such as remote sensing and earth observation, the Internet of Things, and cloud computing to make farming data-driven and increasingly productive. As one of the key components of Digital Farming, an efficient farm management system can influence the productivity and profitability of a farm or an agribusiness in all the right ways.

There are a number of factors that contribute to making a farm management solution a success story, and the biggest among them is infrastructure. The access to and availability of state-of-the-art infrastructure at different stages of the supply chain is an integral component of successful agricultural digitization.

However, beyond the availability of infrastructure, one of the eminent dilemmas that heralds this discussion of digitization is to make the buy versus build decision: is it ideal to develop the technology in-house or opt for a stable, outsourced farm management software?

While both options do offer significant value in the form of better predictability, improved efficiency, and sustainability, here are some of the factors that can help in making an informed decision while opting to go digital in farm management.

1. Does the solution have the ability to innovate with the industry?

While a number of ERP systems offer solutions that cater to agriculture, their capabilities are not tailor-made for constant innovation in agriculture. A good crop management software is disruptive in every sense and focuses on building over what it already knows. It is not limited to utilizing data to make well-informed decisions in the cultivation process, it also focuses on analyzing and constantly learning from the data to build efficiencies for the future.

2. What are Its integration capabilities with other applications in the agri-ecosystem?

The impact of technology in agriculture is not limited to just one or two stages of the cultivation process. Right from deciding which seeds to plant where and when, to warehousing and storage — technological improvements have impacted every step of the journey.

This often means that there are a number of different applications that need to work together in order to improve overall efficiency and ensure seamless communication between systems. Easily being able to integrate with other farm management systems and applications is a core differentiator while opting for stable farm management solution.

3. Does the farm management software allow high levels of configurability?

There are a huge number of differences in the farming practices between developed and developing nations. Aspects such as digital penetration, availability of infrastructure, and even the size of individual farmlands differ as we go from country to country.

Easily configurable solutions catered towards solving challenges that are unique to a particular segment, environment, or business is a huge differentiator in overcoming the initial hesitation towards adoption.In cases where an agribusiness has multi-country operations and is looking to roll out a global digital strategy with one platform, this is a very important aspect to consider.

4 Is it designed to ensure zero data loss and 100% data security?

One of the biggest challenges while moving to a more evolved Digital Farming solution or farm management software is the fear of losing data that is already stored in the legacy systems. However, advanced farm management systems are designed to easily connect with existing data sources and ensure that none of the data is lost in the process of migration.

Multiple stakeholders collect data during the different stages of crop production and distribution. A mature and stable agriculture software is also geared towards protecting the privacy of each stakeholder and ensures a high level of encryption to prevent even the remotest possibility of data leakage.

5. Does it offer offline functionality?

A poor network connection shouldn’t be an excuse for a field extension team to opt out of an otherwise excellent farm management solution. Although penetration of internet access has improved globally, there still remain numerous “dead zones” where users are still unable to go online.

Offline functionality for a mobile application can go a long way in improving business processes by enabling data collection, however remote the location is.

6. What are the possibilities for localization?

Another obvious advantage of opting for a solution that is solely dedicated to agriculture technology is the extent of localization that is possible. Many farmers, especially in developing economies, are more comfortable with local languages. Offering them a service that is capable of easily integrating local languages ensures a much better experience and thus enhances overall adoption.

7. Does it make room for scalability of business operations?

Agribusinesses, small and large, always have a fairly detailed roadmap for the future. When various heads come together to answer the “what’s next?” in terms of expansion and scaling up of operations, farm management solutions should be the least of their concerns.

A ‘complete’ solution essentially allows an agribusiness to add more crops or crop varieties as and when required, without having to break a sweat. It also allows an organization to expand its business to new regions seamlessly. An expert solution should be dynamic in a way that empowers the agribusiness to take a leap forward with confidence.

Look for farm management solutions that are constantly evolving

Ultimately, what differentiates a good agriculture software from a great one is its ability to use data not just to accurately inform and predict the current outcome, but to use this data to constantly develop newer features that enhance the existing system and build efficiencies for the future.

Like any other industry that is harnessing the power of big data and machine learning to further improve what is already being practiced, technology in agriculture, too, needs to be focused on enhancing overall productivity and making more sustainable decisions to support our planet.

Author Bio

Gautam Karajgi

Gautam Karajgi is the Head of Solutions and Customer Success at Cropin, the world’s largest deployed AI platform for food and agriculture, leveraging over two decades of rich and diverse experience. He has built significant expertise across strategy, impact investing, operations, and innovation in both corporate and development sectors, successfully leading projects globally. Gautam is passionate about the rapid digital transformation in agriculture and plays a pivotal role in helping Cropin’s customers adopt intelligent, data-driven solutions for measurable impact. Known for his consultative approach, he has previously been associated with leading organizations like McKinsey & Co, Innoterra AG, and Syngenta Foundation AG.