In terms of applications, papers could address any part of the agricultural value chain including plant and animal breeding, through on-farm production, to post-harvest storage, logistics, packaging, and food processing. Besides on-farm food, feed and fibre production, off-farm production can be considered like fishery, forestry and urban landscaping and maintenance.
Smart technology will support the agricultural entrepreneur in the operational management of the farm or food processing plant through sensing, monitoring, data processing and learning, to decision support or even automatic control. This kind of technology fits into the precision farming paradigm. Robotics to replace or support human labour in challenging tasks is another key technological development, receiving much attention nowadays.
Key challenges for technologies in the agri-food domain are variation, uncertainty and occlusion. No two cows are the same, no two tomatoes are exactly the same nor do they respond in exactly a similar fashion to control inputs. Also, harvestable produce is sometimes hidden behind leaves. Applications include but are not necessarily limited to (spatial) sensing and monitoring of soil or other relevant environmental conditions, as well as sensing of the yield and disease infestation of plants and animals as well as intelligent control of these agri-food production and processing systems. Robotic systems can address for instance phenotyping, harvesting, weed control but also post-harvest food packaging and processing.
Systems may build on a synergy between robotics, artificial intelligence, machine learning, cloud computing, usability engineering, big data and Human-Computer interaction (HCI). Systems can be ground based or airborne, like UAVs. Focus could be on the algorithms involved but also on hardware design of robotic mechanisms, like platforms, manipulators and grippers. Connectivity is yet another topic of interest addressing smart farming in the framework of the Internet of Things.
Last but not least, in spite of so much ongoing technological research, certain technological and economic barriers still exist in terms of the adoption and marketability of the concept of smart farming. Future research can focus on these limitations and revolutionise agri-food production. Hence, this special issue aims to address various ideas, models, and methods of embracing robotics and intelligent machine systems for smart agricultural applications.
Topics of interest include, but are not limited to:
