Dailyne Macasaet
Papers
1
Total Citations
33
H-Index
1
About
Dailyne Macasaet is a researcher at the forefront of agricultural robotics, specializing in automation for controlled-environment agriculture. Her work addresses the critical challenge of food security in the face of a projected global population of 9.8 billion by 2050, where space and resource efficiency are paramount. Macasaet’s most cited contribution, “Implementation of Inverse Kinematics for Crop-Harvesting Robotic Arm in Vertical Farming” (2019, 33 citations), introduces a pioneering framework that applies inverse kinematics to automate harvesting in vertical farms. By breaking down the process into initializing, processing, and directing phases, her research enables robotic arms to precisely navigate and harvest crops in tight, multi-tiered spaces—a key bottleneck in scaling vertical farming. This work has been instrumental in advancing precision agriculture, offering a scalable solution to labor shortages and yield optimization. Macasaet’s impact is evident in the growing adoption of her methodology in subsequent studies on agricultural robotics. Her contributions not only push the boundaries of mechatronics and automation but also provide a tangible pathway toward sustainable food production in urban environments, marking her as a rising innovator in the intersection of robotics and global food systems.
Research Focus
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Top Papers
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