An interesting point came up recently, whilst walking the coffee fields with a producer, talking about coffee harvesters. “The problem with technology” he mused, “is that we are the first to use it and have to pay for the mistakes that we make.” The price for the machine we were discussing was $80,000.
Not cheap, but then this was a tractor-drawn harvester used to pick coffee in Brazil. Not a top of the range either, like the drive-in ones with sealed cabins (in case you run over a bee’s nest), cameras, and a host of other gadgets.
What was interesting here is what the limitations were, where improvements would come, and why, if Brazil is leading the way in coffee harvesting technology, is it often viewed as a bad thing and not an innovative leap forward?
In most coffee producing countries, farmers have gradually got older while their children have lost interest in farming. Those that haven’t are up against farms being split and shared between offspring, increasing costs and reducing profits. For those that lost interest, they might retain the farm as a link to their heritage or maybe sell it to fund a new life in a city somewhere. Of course, there are plenty that have just changed industries completely to something that is seen as more profitable and secure.
This evolving dynamic presents a critical challenge for the sustainability of coffee production. Labour shortages, limited access to capital, and the growing impact of climate change and crop disease are compounding pressures on producers. Yet, amid these challenges, technological innovation is emerging as a powerful tool to mitigate risk, enhance productivity, and secure the future of coffee farming.
Despite its transformative potential, technology in coffee agriculture is often underrepresented in mainstream marketing narratives. However, the sector has witnessed a wave of innovation—from mechanised harvesting and precision agriculture to satellite monitoring and AI-driven soil diagnostics. These advancements are not only addressing immediate operational constraints but are also laying the groundwork for long-term resilience and profitability.
Mechanical Harvester, Brazil
From Prototype to Practice: The Origins of Coffee Mechanisation
The evolution of mechanised coffee harvesting began in Brazil during the 1970s, when Japanese émigré mechanic Shunji Nishimura developed the first prototypes of what would become the Jacto coffee harvester. After field trials with the K1 and K2 models between 1975 and 1978, the K3 was released commercially in 1979, marking a significant milestone in coffee production technology. Despite this early innovation, widespread adoption didn’t happen overnight. As one farmer in Cabo Verde noted, mechanical harvesters only began appearing on farms around 1996, and it wasn’t until 2008 that they gained real traction among producers.
Today, mechanical harvesters are recognised as a solution to labour shortages and operational inefficiencies in areas where the topography allows for it. Whether trailed or self-propelled, these machines operate on a similar principle: straddling the coffee trees, they use fibreglass-reinforced rods to shake branches and dislodge cherries. The intensity of this vibration can be adjusted via what is often referred to as a ‘wobble box’, alongside speed controls for spindle rotation.
Inside a coffee harvesting machine
Once detached, cherries fall onto a fishplate conveyor and are transferred to a holding bin. While manufacturers differ in design details, the core mechanics remain consistent across models. Operational variables such as speed, vibration strength, and machine stability must be carefully managed to avoid damaging trees and ensure effective cherry collection. Terrain remains a limiting factor; although terracing can improve stability, steep slopes still pose challenges. The model we were discussing during the field visit offered a 19cm vertical adjustment range for the wheels, which, while helpful, could still miss lower-hanging fruit—an area ripe for future innovation.
Although the daily operating costs of mechanical harvesters may not yet undercut manual labour, at least in the farm we were on, their value lies in addressing the increasingly urgent issue of workforce scarcity. Coffee, as a tree crop, offers long-term productivity, but adapting field layouts to accommodate machinery through changes in spacing, density, and terracing requires time and investment. Nevertheless, some producers in São Paulo are already preparing for the next wave of innovation, aligning their crops in anticipation of GPS-guided harvesters. A strong trunk that may not grow exactly vertical, though, is an additional hurdle to overcome. Whether these actually materialise is to be seen.
While mechanised harvesting is most commonly associated with Brazil, its reach is expanding. Manufacturers are now marketing these machines in countries such as Angola and Ethiopia, in the hope that producers are exploring scalable solutions to local labour challenges.
Satellite Technology in Coffee: From Farm Insight to Supply Chain Integrity
Satellite technology has provided many benefits in modern coffee agriculture, offering producers a new level of visibility and control over their farms. At its core, satellite imaging involves the use of orbiting sensors to capture high-resolution data on land use, vegetation health, and environmental conditions. For coffee producers, this technology has transformed how farms are monitored, managed, and connected to the wider world.
One of the most immediate benefits has been the expansion of digital connectivity. With improved access to mobile networks and satellite internet, farmers are now able to share updates, market their coffee, and engage with buyers through platforms like Instagram, TikTok, and Facebook. In some cases, these channels have become direct-to-consumer sales tools, bypassing traditional intermediaries.
Beyond connectivity, satellite imaging is being used to detect early signs of crop stress. In Rwanda, a washing station DRWakefield works with has implemented a system that monitors leaf glare across its members’ farms. Changes in reflectivity, often caused by pest infestation or disease, trigger alerts that are sent directly to farmers’ mobile phones. This enables rapid response and coordinated action, helping to preserve crop quality and protect neighbouring farms from contagion.
The ability to conduct real-time, large-scale monitoring also extends to soil moisture levels and hyper-local weather patterns. These insights allow producers to make more informed decisions about irrigation, fertilisation, and harvest timing. When combined with artificial intelligence and machine learning, satellite data becomes even more powerful, enabling predictive analytics that can guide long-term planning and risk mitigation. Even without these analytics, the data gives farmers the ability to make greater data driven decisions, and have more control over their farms.
Coffee Berry pathogen anomaly detection using colour and shape separation via L-systems
(Chris C. Napier, David M. Cook and Leisa J. Armstrong.) BIO Web Conf., 167 (2025) 05003
Institutions such as the International Center for Tropical Agriculture (CIAT) are leveraging satellite imagery alongside historical climate data to help producers prepare for future challenges. Their work includes identifying underperforming plots that could be renovated, pinpointing areas suitable for expansion, and flagging zones at risk of becoming unsuitable due to climate change. This information is not only valuable for farm management but also for securing financing. Banks, investors, and development agencies are increasingly using satellite-verified data as a decision-support tool to evaluate agricultural risk and guide resource allocation for renovation, sustainability initiatives, and climate adaptation strategies.
Satellite technology has also played a key role in regulatory compliance. The introduction of the European Union Deforestation Regulation (EUDR) prompted a surge in satellite-based verification services. These platforms help trace coffee production back to its origin, ensuring that farms meet deforestation-free criteria. While differences in image resolution between public and private providers have highlighted some limitations, the overall impact has been positive, offering a practical solution to a regulation that initially caused concern across the supply chain.
EUDR verification in Colombia
The Internet of Things in Coffee Agriculture
The Internet of Things (IoT) refers to a network of interconnected physical devices ranging from sensors and machinery to appliances and vehicles, that are embedded with software and connectivity features. These devices collect, transmit, and sometimes act on data in real time, often with minimal human intervention. In coffee agriculture, IoT can be a transformative tool, enabling producers to monitor environmental conditions, automate key processes, and make more informed decisions based on live data.
One such application of IoT in coffee farming is soil moisture monitoring. Devices such as tensiometers (which measure the suction tension required for plant roots to extract water from the soil) provide data that helps farmers determine optimal irrigation schedules. This improves water efficiency and potentially boosts yields. When connected to irrigation systems, these sensors allow producers to respond to soil conditions remotely—adjusting water flow from a mobile device or computer without needing to visit the field.
Data loggers using IoT to report back moisture in soil at various depths
IoT also plays a role in post-harvest management. Automated drying systems, for example, can be monitored and controlled remotely. Producers can track and control drying patterns, temperature inputs, and bean moisture levels in real time, ensuring consistent quality while reducing the need for manual inspection during peak harvest periods. This not only saves time but also helps maintain ideal conditions for preserving flavour and integrity in the final product.
Traceability and inventory control are other areas where IoT is making an impact. Radio Frequency Identification (RFID) tags are increasingly used to track coffee lots and prevent warehouse errors. In one facility we work with, equipment is programmed to halt operations if the RFID tag does not match the assigned work order, adding a layer of security and precision to logistics.
Innovation is also occurring at the intersection of IoT, AI, and mobile technology. In Nicaragua, a producer has developed a system that combines app-based analysis, hardware, and artificial intelligence to assess soil samples directly on the farm. This approach eliminates the need to send samples to a lab, reducing delays and costs associated with fertilisation planning. The system provides immediate feedback on nutrient requirements, allowing farmers to act while conditions are still optimal.
Slide showing portable soil analyser to use inconjunction with a mobile app.
The benefits extend beyond individual farms. Within cooperatives, aggregated soil data can be used to identify common needs across multiple producers. This enables bulk purchasing of tailored fertilisers, which would be economically unfeasible for smallholders operating independently. The result is not only cost savings but also a more precise application, reducing the risk of over-fertilisation and improving environmental outcomes.
Drones in Coffee: Efficiency, Insight, and a New Generation of Farming
Drones are becoming an increasingly visible part of coffee farm operations, particularly in areas where labour is scarce. In 2023, we spoke with a farmer experimenting with drones on a property surrounded by dairy and cattle farms, where access to seasonal labour was limited. His experience reflected a growing trend: younger generations are introducing new tools and approaches to coffee farming, often challenging long-standing traditions.
Today, drones have become more commonplace, especially for fertilisation tasks. Many cooperative agronomy supply stores now stock agricultural drones, making them more accessible to producers. At a recent trade show, drone manufacturer DJI reported that approximately 400,000 of their drones were in use globally, spanning 300 crop types across 100 countries. The company also highlighted the role of pilot training programs in attracting younger farmers and increasing participation among women. According to their data, drone spraying operations can reduce costs by up to 70 percent compared to manual methods and 50 percent compared to tractor-based spraying.
Back to that conversation in the field that started this. The farmer there, Augusto, shared that a drone could fertilise one hectare in just 12 minutes using liquid foliar fertiliser. In contrast, applying solid fertiliser to the same area took about an hour and required multiple battery changes. Regardless of the material used, battery life remains a limiting factor, with recharging needed every 12 minutes. While these constraints are real, the efficiency gains and flexibility offered by drones are driving continued interest and investment.
Drone for carrying fertiliser on a farm, SMC
Beyond fertilisation, drones are being adapted for pest detection and crop monitoring. It was reported researchers in Australia recently developed a method to identify Coffee Berry Borer infestations using cameras mounted on drones. This innovation allows for early detection and targeted intervention, reducing crop loss and minimising pesticide use. Because drones can apply treatments precisely where needed, they also eliminate the health risks associated with manual pesticide application.
Visual monitoring is another emerging use case. On a farm we visited in July, drones were deployed to assess harvest readiness. With the house located a small way away from the fields, the ability to conduct quick aerial inspections proved helpful. This not only reduced labour costs during harvest preparation but also allowed the farmer to monitor frost risk and assess damage following temperature drops.
Looking Ahead: Technology’s Role in Coffee’s Future
As we reflect on the technological advances shaping coffee production, it’s clear that innovation is not only addressing immediate challenges such as labour shortages and operational inefficiencies but also opening new possibilities for yield improvement and long-term sustainability. From mechanised harvesting to satellite monitoring and drone-based interventions, the sector is undergoing a quiet transformation.
Yet, as with any innovation, progress comes with complexity. Drone technology, for example, has proven to be a powerful tool, but its adoption is shaped by regulatory environments that vary widely across producing countries. While some governments have streamlined agricultural drone usage, others are still developing legal frameworks, and concerns around privacy and airspace remain unresolved in many regions.
Cost is another barrier. Although drones are more affordable than large-scale harvesting machinery, they still represent a significant investment—especially for smallholders. For some, semi-automated tools like vibrating harvest poles (hands or derricadeiras) offer a more accessible middle ground, bridging the gap between manual labour and full automation.
In more technologically advanced producing countries, there’s a recognition that early adopters often bear the cost of experimentation. These producers invest in unproven systems, refine them through trial and error, and ultimately pave the way for others to adopt more mature, cost-effective solutions.
Manufacturing efficiencies take time to influence pricing, and for many farmers, the financial burden of innovation is tempered by market realities. While recent high coffee prices may have enabled some investment, much of that capital was already earmarked to offset rising input costs. As prices cool, those costs remain, and the pressure to maintain profitability intensifies.
Despite these challenges, the benefits of technology are undeniable. Brazil’s leadership in mechanised harvesting and precision agriculture is a testament to how scale and innovation can coexist. But the story doesn’t end with cultivation. Advances in coffee science—from varietal development through initiatives like World Coffee Research and the Innovea Global Coffee Breeding Network, to post-harvest improvements such as optical analysis and packaging innovations like GrainPro—are reshaping every stage of the value chain.
Technology has always been part of coffee’s evolution, even if its presence was less visible in the past. Today, it is front and centre, guiding decisions, improving outcomes, and redefining what’s possible. And while the pace of change may feel fast, it is grounded in decades of experimentation, adaptation, and resilience.
One last word from a producer we spent time with in July. Asked what had changed most since he began farming coffee over forty years ago. He paused, smiled, and said simply, “I was younger.” It was a reminder that while tools and techniques evolve, the heart of coffee farming remains rooted in experience, care, and a willingness to adapt.
