What are the limitations of early fruit quality monitoring methods and how did IoT-based wireless sensor networks address them?

Early fruit quality monitoring relied on subjective visual inspections and basic chemical tests like measuring sugar content. These methods lacked real-time feedback and were often inefficient, causing significant waste and suboptimal storage conditions. IoT-enabled wireless sensor networks addressed these issues by enabling real-time, remote monitoring of factors such as temperature, humidity, ethylene concentration, and firmness. This continuous feedback improved monitoring accuracy and minimized waste throughout the supply chain.

The evolution of fruit quality monitoring began with methods that were largely manual and reactive. Early approaches depended on subjective visual inspections and basic chemical tests, such as measuring sugar content. Because these methods did not provide real-time feedback, they were inefficient and led to significant waste and suboptimal storage conditions. In the early 2000s, the adoption of IoT-enabled wireless sensor networks (WSNs) marked a turning point. These networks allowed for real-time, remote monitoring of critical parameters including temperature, humidity, ethylene concentration, and firmness. By providing continuous feedback on fruit quality throughout the supply chain, WSNs improved monitoring accuracy, reduced waste, and enabled more informed decisions about storage and handling.