Agriculture is under enormous cost pressure. Activities that used to be performed by a large number of workers now must be handled by individuals in order to operate profitably. Add to this growing requirements in terms of sustainability and environmental protection.
Digital technologies are helping to overcome these challenges and are fast becoming the farmer’s most important helper. Thanks to Smart Farming, work processes can be made more efficient and even completely automated. Intelligent monitoring helps maintain a permanent overview of the status of machines and systems. Collected data can then provide the basis for optimization and forecasting.
The result: A more efficient and sustainable use of resources and manpower, higher yields and a secure future for your business in the long term.
To make agricultural processes more efficient and smarter, modern order data management is required to support the planning and automation of daily work processes and make the use of working time, fertilizer and agricultural machinery more efficient.
Developed by Device Insight and AGCO Fendt, a cloud-based IoT solution enables farmers to optimize application of inputs, implement control and tracking and accurate work documentation, at the same time meeting all regulatory requirements. Field and machine data also provide the decision-making basis for targeted optimization in the areas of accounting, deployment planning and fuel consumption.
Smart Farming utilizes modern technologies to enhance the efficiency, productivity, and sustainability of agricultural operations. With sensors, drones, GPS, artificial intelligence, and the Internet of Things (IoT), stakeholders in Agriculture 4.0 collect data in real-time. Analyzing this data serves to make informed decisions and use resources such as water, fertilizer, and energy more efficiently.
Many agricultural machines already feature a high degree of automation, offering numerous interfaces for implementing digital farming. A major challenge of digital agriculture is network connectivity, as many devices operate over a wide area during operation. One goal of Smart Farming – or Future Farming – is to overcome this limitation by integrating various agricultural machinery into a network.
Smart Farming can be divided into four application areas:
In Precision Farming, farmers use data from sensors, satellites, or drone imagery to precisely adjust the application of seeds, fertilizers, and pesticides to the needs of individual plants or small areas. This saves costs, helps comply with fertilizer regulations, and conserves the environment.
In Livestock Monitoring, health parameters of animals such as movement patterns, feed intake, and temperature are monitored to improve well-being and detect diseases early. In the context of a Smart-Corp approach, plants are monitored using sensors to optimize their fertilizer needs.
Autonomous agricultural machinery and robotics are also indispensable in digital agriculture – whether as tractors, harvesters, or in processing. Machines that largely or even completely take over tasks autonomously reduce labor costs, increase efficiency, and partially compensate for the shortage of labor.
Climate control, ventilation, lighting – Smart Farming has many facets, and modern farms are optimally managed through smart building management. Greenhouses, barns, and storage facilities are operated particularly energy-efficiently.
Whether in the field, in the tractor, or on the farm – Smart Farming is an investment in the future and offers many more opportunities for the use of new technologies.
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