Mr. A. K. M. Abdullah Al-Amin is on the staff of the Bangladesh Agricultural University (BAU), Mymensingh, Bangladesh as an Assistant Professor. Mr. Al-Amin was an Elizabeth Creak Fellow at Harper Adams University (HAU) in the United Kingdom and Visiting Scholar at Purdue University, West Lafayette, Indiana, United States. Mr. Al-Amin was recognised as “Outstanding Graduate Student 2022” by the International Society of Precision Agriculture (ISPA). In Bangladesh he was awarded the “University Prize” and “Prime Minister Gold Medal-2014” for his excellent academic performance at Bachelor level. His research interests encompass: Agri-Tech Economics, especially Precision Agriculture focused on Autonomous Crop Machines, Farm Management, Agroecological Farming, Cropping Systems, Farming Systems, Climate Change Adaptation, and Environmental Conservation. Mr. Al-Amin’s PhD research focuses on the "Economic Assessment of Autonomous Equipment for Field Crops". His research hypothesizes that autonomous crop machines are an economically feasible alternative to conventional machinery with human operators, subject to field size and shape, field biodiversity enhancement, and environmental sustainability. In the last decades, owing to population and economic growth, agricultural labour scarcity, technological advancement, increasing requirements of operational efficiency and productivity, and the environmental footprint of agriculture, agricultural automation and robotics have received substantial attention. Even though robotic systems for livestock and protected environment have developed more rapidly, the development of autonomous crop machines for arable farming has primarily concentrated on establishing technical feasibility, and more specifically on the development of computer optimization models and software tools for on-field operations. Considering the complexity of crop field operations, it is important to focus on the overall systems analysis and understand the economics of autonomous crop machines, as economic implications would play a crucial role in attracting investment, guiding adoption decisions, and further understanding of environmental and social benefits.