where Net CE denotes net cost-efficiency,
EV denotes the export value of the mango,
L denotes mango loss (%),
R denotes risk % as a result of the less-than-ideal decision to reduce mango loss,
N denotes the number of sensing devices,
Cost of each sensing device = 200 USD,
x denotes the additional cost per sensing device.
In this case, x = sensor storage cost + implementation cost + installation cost + broadband transmission cost + visualization equipment cost. The details are as follows:
Assuming a total additional cost per sensing device (x) is US $20 for the sensor's life span (10 years), the total upfront cost of purchasing and operating each sensor is US $200 + US $20 = US $ 220. The profit recovered by this AI system is EV*(L%–R%), where L = 6.91% and R = 0.035%. This could be used as the budget for paying the initial sensor cost. The maximum number of sensors that could be purchased using this profit is listed in