The CP gives farmers an edge---key to worldwide food security and sustainability

Recognizing and addressing the drivers of Agriculture 4.0 may give farmers a strategic edge in future planning and reduce their worries about sustainability and food and nutrition security during the ongoing economic crisis. This study can aid in developing a portfolio of successful solutions by decision-makers to improve the agriculture industry. In future disruption scenarios, identification and evaluation of Agriculture 4.0 drivers may help calm food security disturbances worldwide. To identify, evaluate, and prioritize the drivers influencing the adoption and implementation of Agriculture 4.0, this study proposed an innovative and comprehensive decision aid that combined issues like adaptability, durability, sustainability, and digitalization. Through strategic prioritizing, our study would motivate and assist farmers and commercial entities in adopting the required steps to ensure the appropriate level of food supply.

Focusing on the key drivers such as “Automation & Robotics to lessen the usage of manual labor (D6)” and “Usage of advanced equipment for large-scale planting and harvesting (D7)” will lead to the usage of modern equipment and automated tools for planting, harvesting, and other agricultural activities. This will reduce the number of tasks that people will perform, freeing up time that can be utilized in other agricultural activities to boost productivity and revenue. The use of “The Internet of Things (IoT) for advanced real-time monitoring of crops and livestock (D8)” will make it easier to keep track of the crops in an efficient manner, which will also assist in cutting down on waste and raising profits and the welfare of animals. The “Global Positioning System (GPS) for operating self-propelled sprayers, tractors, and checking drainage system (D10)” will assist in the construction of a productive drainage system that will prevent water clogging at specific locations, as well as resist various types of pests and, ultimately, improving crop health. “Big Data Analytics (BDAs) to boost agricultural output (D1)” approaches include analytical tools and techniques for evaluating historical data and delivering precise information on forecasting future production levels, rainfall, fertilizer requirements, water cycle, plant health, and soil information. With this knowledge, farmers will be better able to decide which crops to plant when and in what quantities, increasing productivity and profitability.