The introduction of AI and IoT in the process of harvesting and transportation has helped organizations to achieve a massive amount of efficiency and productivity.
FREMONT, CA: One-third of the production costs of getting sugar from sugarcane is consumed in harvesting and transportation. Companies introduced various applications of AI and IoT to extract more efficiency from the processes. Since usual factories manufacture more than 2 million tons, the companies are facing challenges each day to minimize costs. It has become the need of the hour as harvesting and transportation have already consumed 30 percent of the total production cost.
By optimizing the harvest, companies can narrow down the production costs, and to achieve the expected goals, they can automate various processes. To boost the efficiency of the operations, companies brought AI and IoT into the system.
Companies have a vast number of workers as well as machinery that produces tons of sugar cane in just a day. The energy needed is generated from the burning of leftover residues of sugarcane after processing. Organizations took the first step into the digital world by using tablets instead of handwritten notes, bringing a significant gain in operations. It also helped the workers and employees bring mobility in the fields along with agricultural equipment. The implementation of technologies to bring mobility has generated an added value to the industry by involving professionals digitally with tablets in their hand.
Data in Real-Time:
By leveraging IoT, transport tractors connected with on-board computers can interact with the harvesters. The machines communicate mutually, and by using machine learning, they carry out calculations and record the travel time, tipping time, routes, and appropriate equipment. It allows the data to get exchanged and processed locally, while also transmitting it to a cloud server via the internet. Everything in the new development can be monitored in real-time and gradually helps in facilitating and reorganizing the decision-making processes. AI drives the system by sending dispatch trucks to the point of harvest automatically and also eliminates issues dealing with insufficient yield.
The registration of harvest per truck was done manually by the managers, but with the help of technologies, it is now digitally certified. The process eliminates the potential mistakes that a human recording or authentication could commit and prevents the company from a huge loss.