2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation And 2019
DOI: 10.1109/cis-ram47153.2019.9095774
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Implementation of Inverse Kinematics for Crop-Harvesting Robotic Arm in Vertical Farming

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Cited by 25 publications
(5 citation statements)
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“…• Electricity: Electricity consumption for lighting accounts for 75-80% of the total consumption in the grow room (Avgoustaki, 2019). There are approximately three ways to improve electricity productivity in terms of lighting: Using LEDs with high efficiency of photosynthetic photon number (or electrical energy-photon conversion coefficient) (Dieleman et al, 2019); Improving the percentage of photosynthetic photons received by leaves relative to those emitted by LEDs, using light reflectors within the growing space (Fang et al, 2020); and Improving photosynthetic photon yield (ratio of photosynthetic photons fixed as chemical energy in leaves to those absorbed by leaves) by controlling aerial and root zone environments, cultivar selection, and/or cultivation methods (Liu et al, 2020); • Automation systems: Deploying automation systems improves hourly productivity by 30-40%, but significantly increases initial investment (Lauguico et al, 2019). It is expected that, soon, no person will enter the cultivation room of a large-scale PFAL, except for periodic maintenance and emergency measures, with more than 90% of the handling operations being automated (Monteiro et al, 2018).…”
Section: Improvement Pointsmentioning
confidence: 99%
“…• Electricity: Electricity consumption for lighting accounts for 75-80% of the total consumption in the grow room (Avgoustaki, 2019). There are approximately three ways to improve electricity productivity in terms of lighting: Using LEDs with high efficiency of photosynthetic photon number (or electrical energy-photon conversion coefficient) (Dieleman et al, 2019); Improving the percentage of photosynthetic photons received by leaves relative to those emitted by LEDs, using light reflectors within the growing space (Fang et al, 2020); and Improving photosynthetic photon yield (ratio of photosynthetic photons fixed as chemical energy in leaves to those absorbed by leaves) by controlling aerial and root zone environments, cultivar selection, and/or cultivation methods (Liu et al, 2020); • Automation systems: Deploying automation systems improves hourly productivity by 30-40%, but significantly increases initial investment (Lauguico et al, 2019). It is expected that, soon, no person will enter the cultivation room of a large-scale PFAL, except for periodic maintenance and emergency measures, with more than 90% of the handling operations being automated (Monteiro et al, 2018).…”
Section: Improvement Pointsmentioning
confidence: 99%
“…However, compartmentalized systems with limited exposure to external factors will result in unique opportunities to significantly reduce both the amount of pesticides applied and exposure to the external environment. As well as having physical boundaries to prevent pathogens, there is also more scope to use technology to monitor and detect health problems within crops, and therefore prevent spread, potentially in tandem with automated robotics for real time pest detection/removal processes (e.g., Lauguico et al, 2019).…”
Section: Pesticides Pollinators and Pathogensmentioning
confidence: 99%
“…Many researchers have discussed the development challenges that arise in the field of agriculture for fruit and vegetable harvesting and other field operations, i.e., sowing, weeding, and spraying vegetables [5][6][7]. However, with advancements in the Internet of Things (IoT), sensors, high-speed internet (4G/5G/6G), and robotic automation with required attachments, developments in agriculture are at their peak, and many operations, i.e., crop quality and quantity measurement, disease finding, the planting process, and harvesting are taken from types of machinery in developed countries [8][9][10][11]. The word automation here refers to the equipment and devices that work in place of manual procedures.…”
Section: Introductionmentioning
confidence: 99%