A significant shortage in the agricultural labor force is threatening sustainable development and driving geographic transformations for cross-border food production as urgent global issues to ensure food security in a changing climate. In response, the agricultural sector is moving toward mechanization, creating opportunities to integrate autonomous machinery and strengthen collaboration with research organizations to achieve sustainability. This concluding chapter focuses on how sensors, sensing technologies, Internet of Things (IoT), and Artificial Intelligence (AI) are advancing sustainable agricultural practices and supporting the achievement of the Sustainable Development Goals (SDGs). The key considerations of transformation are discussed, including increasing productivity, mitigating labor shortages, and optimizing land and water use in arid regions for climate-smart agriculture. Furthermore, the application of machine learning and deep learning across the agricultural value chain is highlighted, from intelligent automation in fruit crop production to post-harvest evaluation in various agricultural systems. This includes intelligent automation in fruit crop production and the evaluation of post-harvest efficiency in crops, orchards, livestock, aquaculture, and poultry systems.