IoT, the futuristic amalgamation of all electronic devices to the Internet has arrived and is fast growing. From small scale industries to large multinational corporations, everyone caters to what this phenomenon has to offer for acquiring and processing data for the betterment of the company. While almost everyone can be benefitted through IoT, industries looking to leverage consumers patterns and usage have predominantly taken advantage of this fast growing trend. Over the years, it suffices to say industrial IoT has gained unparalleled momentum among data scientists and business analysts. Customer servicing, product performance, quality control are some of the few areas in which the presence of IoT has created a paradigm shift in the consumption of data and statistics.
It is observed that the proliferation of IoT devices for data compilation and analysis is directly proportional to the capability of the predictive analytics approach formulated. One of the global industries that is growing, both in terms of size and produce is agriculture. Considering the variable components of the agricultural industry, the depths of IoT in this field is significant. An industry that is both B2B and B2C in nature, the quantity of produce is increasing multifold. According to UN Food and Agriculture Organisation, the world requires a 70% increase in produce by 2050 than in 2006 to feed the ever-growing population. As the demand increases, farmers and agricultural companies have started to explore newer technologies. The demands of technology in agriculture has led to the evolution of AgriTech in the last few years. Smart agriculture which includes pairing of technology devices to agricultural equipments. For example, an IoT device setup in an agricultural farm with 400 machines and 4 data points per second per machine can collect over 1 billion data points in one year. Various environmental factors including temperature, humidity, pressure, and vibration could be readily ascertained with the mesh of sensors in IoT placed. With the informative and assertive presence of predictive analysis, companies can adopt a proactive strategy for consumption of data. An interesting report by BI Intelligence predicts a steady increase of 20% annually in IoT device installations across agricultural farms. These new predictive models combined with the intelligence of IoT devices presents a compelling opportunity to create proactive strategies.
Incedo’s footprint in IoT strategy formulation with predictive analytics
Over the last decade, the real evolution of IoT included the breakthrough application of predictive analytics in the agriculture industry. In an industry that is controlled and altered only by the course of nature, agriculturalists and farmers have started to understand the magnitude of IoT recording devices for tracking yield with minimal human supervision. It is predicted that by the year 2025, there will be as many as 600 million sensors globally to support 525 million farms. The entire process of monitoring food/crop grains from the field to warehouse, distribution points, and end consumers can be easily ascertained by Agricultural Internet of Things.
As pioneers of IoT developers for agricultural fields in India, Incedo’s intelligent IoT devices included the proactive application of sensory networks that monitored every stage of the journey while capturing real-time vital parameters for proactive analytical consumption. The sensor networks were implemented on trucks across supply chains, warehouses, and silos, distribution centers. All the data collected from both SIM/non-SIM based networks were stored in the backend database servers that could easily be uploaded to cloud. The raw data collected is processed by BI to help visualize the data in multiple formats for data analysis.
The Incedo perspective
The presence of these sensory monitors helped ascertain and create advanced plans rather than responsive solutions. The solution creates an arsenal of data points that can help predict and prevent loss of produce while creating a warehouse of data readily available for deploying preemptive requests. Key advantages of IoT sensors in the process included
- Responsive alerts to supervisory staff for non-complaint deviance
- Presence of multiple data points across timelines for better visual clarity
- Easy integration with third party tools
- Quick prediction of future yields
- Minimal loss of produce during delivery cycle
The customisation and the easy adaptability of Incedo’s IoT networks gives the advantage of mastering business intelligence, data management, and data analysis thus improving decision-making confidence. In an industry that is prone to several external factors, the ability to use previous data for enhanced delivery cycle. Some of the benefits that accrue from building such capabilities in end-to-end supply chain of farm produce include
- Prevention of food grain wastage
- Increased retention of nutritional quality of food grains
- Minimal labour intensive manual intervention
- significant cost savings from delivering food grain from farm to plate