
How Technology Reinvents Agriculture: Top 8 Software Solutions to Watch
Discover how cutting-edge software solutions – from autonomous robots to drone-powered crop analysis – are transforming agriculture for good.
Technology is transforming the software for the agriculture industry from AI-powered analytics to autonomous tractors with digital tools enabling a shift toward more data-driven farming practices. This evolution – precision agriculture (PA) – represents a multi-level approach that uses real-time data to optimize every aspect of agricultural production.
The smart agriculture market is a rapidly developing area that is estimated to expand from $16.25 billion in 2024 to $28.44 billion in 2029, driven by a 11.6% year-over-year growth. In this article, we explored eight of the most innovative software solutions like UAVs drones, water and soil sensors, yield monitoring systems, and more that shape the future of agriculture today.
1. Smart Land Monitoring and Management
Corteva Agriscience’s land management application provides farmers and agronomists with a 360-degree view of their operations, including field ownership status, land quality, and both real-time and historical data on cultivated crops. A solution developed by Infopulse, part of Tietoevry Create, is built on remote sensing and AI capabilities and functions as a centralized platform for managing the entire farming cycle – from fertilization to harvest.
Key features include real-time field status checks, hyperlocal weather forecasting, and precise irrigation planning. These tools allow users to adjust workflows, optimize field conditions, and increase efficiency across growing seasons.
Screens of the land management application
2. Autonomous Farm Technology and Data Analysis
Agricultural drones, self-driving tractors, robot seed planters, and other smart machines are set to drive the industry forward by automating key processes, eliminating human error, and decreasing labor shortages. FJ Dynamics, a robotics company focused on automation, is at the forefront of this shift, combining smart machinery with advanced data analytics to boost both productivity and sustainability.
Built on Microsoft Azure, the company’s cloud-based platform supports a wide range of IoT applications. It enables farmers to make informed decisions on planting, irrigation, chemical use, and harvesting, all guided by data collected through sensor-equipped machines. These machines also create detailed 3D farm models to guide autonomous operations with high precision. By handling hazardous tasks like pesticide spraying, FJ Dynamics’ robotic systems not only increase efficiency and yields but also improve safety and reduce environmental impact.
3. Drone-based Field Analysis
In the age of smart agriculture, drones are no longer a novelty. Remote control helicopters for crop spraying have already been used for a few decades. However, this technology is always evolving, and the new generation of drones is smarter and more versatile.
Planting seeds in remote locations, surveying crops over vast areas, analyzing field conditions to deliver nutrients and pesticides where the crops most need them – drones are becoming indispensable in agriculture. And their estimated impact is growing exponentially. According to DJI Agriculture Annual Report, over 300,000 drones are operating globally, treating more than 500 million hectares of farmland.
A leader among smart machines, DJI’s P4 multispectral drone has been widely implemented in China for precise agricultural cotton production. Its capabilities allow farmers to enhance crop scouting efficiency, lower chemical usage, and increase yield.
A case in point: during a 25-minute flight, the multispectral drone is able to capture 45 hectares of imagery that is later processed in DJI Terra software to create an RGB map. With this map in place, workers can divide fields into growth zones and strategically place sampling locations for further inspection. The drone leverages this map to execute spraying with utmost accuracy, while boosting the growth of weaker regions and improving the homogeneity of the field.
The results of implementing spraying drones are impressive: farmers report chemical usage reduced by 30% and increased cotton yield by 450 kg per hectare. The precision versus efficiency ratio significantly exceeded expectations.
4. Smart Silage Usage Optimization
Another solution owned by Corteva Agriscience digitizes paper-based process of silage analysis used by promoters and sales agents. The mobile app collects and leverages data to generate hyper-personalized products and services for farmers – all based on their specific silage needs.
Agriculture promoters can access a list of preplanned farms with routes and maps as well as customize silage data like density, temperature, pH levels, and more. Such digitalization is set to significantly optimize promoters’ workflows and increase data accuracy.
The app features user-friendly data collection forms that work offline and includes separate field options for adding contact data and attaching photos.
5. Livestock Welfare Monitoring
Precision Livestock Farming (PLF) is an emerging area in digitized agriculture focused on using advanced computer vision technologies to improve animal production and farm management.
CattleEye is a leading solution in cow welfare and performance monitoring. This system uses security cameras to capture animals in real time and uploads the footage to the cloud for analysis. Using computer vision tools, CattleEye identifies every cow on the farm, analyzes their appearance, gait, and behavior, and based upon that data helps select animals for hoof trimming — all to detect and quickly manage injuries in the herd.
The analysis is sent directly to a farmer’s phone or tablet, which allows for rapid intervention and significant cost and resource savings. Thus, the system is reported to save an average farmer $120 per cow annually and reduce the carbon footprint by 0.57 tons per cow per year.
6. Smart Irrigation
Water consumption optimization has always been a challenge across industries. Advances in technology have made smart irrigation a leading solution for more efficient water management. The global smart irrigation market is valued at $2.5 billion in 2025. In agriculture specifically, the adoption of soil moisture sensors and automated irrigation controllers is expected to grow at a CAGR of 16–18% over the next five years.
Water shortages and waste significantly harm crop production. FarmConnect is an example of how modern agriculture IT solutions combine smart sensors and cloud analytics. Its solution utilizes connected devices, smart sensors, and cloud-based analytics software to monitor soil conditions in real time and automatically manage irrigation schedules, optimizing both timing and water use while requiring minimal maintenance.
This intelligent system helps farmers to maximize crop yield and enhance water-use efficiency.
7. Autonomous Harvesting
Crop harvesting is one of the most labor-intensive tasks for farmers. It’s not limited to fields, but also covers plantations, orchards, and vineyards. Automation in harvesting offers resource optimization and higher efficiency in crop gathering.
Saga Robotics’ modular platform, Thorvald, addresses this challenge as an autonomous multi-purpose farm robot that performs complex tasks, including harvesting vegetables and fruits and protecting plants from powdery mildew diseases. Not only does the robot improve efficiency and optimize resources, Thorvald also enhances risk management by reducing farmer exposure to hazards, such as snake bites and other field dangers. Its modular design allows easy customization for diverse tasks across all farming environments, such as open fields, greenhouses, vineyards, and tunnels.
8. Automatic Farmland Diagnostics
Farmland diagnostics is a growing aspect of smart farming, enabling agronomists to detect weeds and plant diseases early on to minimize crop losses. Gamaya’s advanced solutions leverage remote sensing technologies to achieve this.
Their system collects airborne and satellite-based imaging data as well as historical climate and weather information to create detailed digital maps. These data-rich maps help highlight and address key agronomic challenges like nutrient deficiencies, disease infections, water stress, soil compaction, and pest infestations.
A Final Note
Technology is transforming agriculture – from data-driven crop management and smart irrigation to real-time livestock monitoring and drone-assisted field analysis – with rapid innovation showing no signs of slowing.
We’ve highlighted just a fraction of the growing ecosystem of agribusiness software solutions driving sustainability and progress, but this list will continue to grow as new technologies emerge.
Some agriculture software can be implemented immediately, while others require customization. Keep this in mind when selecting a technology partner. Tietoevry Create experts will tailor agritech solutions to your needs.
