Traditionally, the agricultural industry has been manually intense and largely reactive. Recent technical advances, such as IoT, have empowered farmers to dramatically change their modus operandi. With IoT, farmers can add intelligence to analogue and mechanical devices, streamline processes, gain efficiency, and overall, build stronger businesses.
Smart farming is the term for this new approach. Collecting information, such as environmental conditions, improves the quality and quantity of the produce while minimising risk and waste. The technology can also be adapted to specific machinery and systems, e.g., tractors and sprinkler systems, and use the data collected to provide a complete real-time view of operations.
Farmers Invest in Smart Farming Solutions
Smart farming impacts every aspect of the agriculture process. The tools track inventory as it makes its way to the farmer, soil conditions as they prepare for planting, crop growth, weather conditions, harvesting, and distribution.
As a consequence, smart farming solutions have attracted growing interest, and purchases are on the rise. The global smart agriculture market reached $14.1 billion in 2021 and is expected to increase to $25.25 billion in 2027, exhibiting a CAGR of 9.8%. Here are five ways that it is changing farming.
In the agricultural industry, soil can be seen as the very foundation of everything. Growing and harvesting crops constantly fluctuate and can therefore greatly impact a business. With IoT, farmers can:
- Gain insight into soil composition, precipitation, and temperature, to maximize soil performance.
- Decide if pesticides or fertilizers need to be added or removed.
- Rely on irrigation sensors that can monitor the dryness of the soil and operate sprinklers accordingly.
Agricultural businesses gain real-time visibility into soil viability and unique ground conditions, in order to best utilise the land. IoT offers farmers the means to gain more information about what is happening, so they manage proactively and not reactively.
Farmers want to achieve consistent crop quality and avoid various aberrations, and IoT can help. Sensors constantly monitor items, such as leaf quality and colour and root strength; then compare current measurements with historical data, and determine how well crops are growing. With it, farmers can:
- Better forecast the production runs.
- See crop growth
- Note any anomalies, such as diseases, pest infestations, or harsh climate that will lower the yield.
- Understand what their final output will be.
- Set better expectations
- Enhance product distribution
- Monitor business expenses more accurately.
- Know when to schedule the next shipment of seeds and grains.
In essence, the business flows more consistently. Once the finished product is out for distribution, the next batch is ready to be planted. The insights lower production risks and empower farmers, so they do not face product shortages and therefore income disruptions.
The advent of intelligent IoT sensors enables suppliers to collect device performance information as their equipment functions. Artificial intelligence, machine learning, and data analytics gauge an asset’s typical efficiency and wear and tear based on items, like vibration analysis, oil analysis, and thermal imaging. Predictive models feature algorithms that identify when an asset will need to be maintained, repaired. or retired before, rather than on or after, that time. The benefits include:
- Machinery lifecycles are lengthened
- Downtime lowered
- Employees become more productive.
Data from the US Department of Energy indicates that predictive maintenance is extremely cost-effective. In fact, putting a predictive maintenance program in place yields:
- Tenfold increase in ROI
- 25%-30% reduction in maintenance costs
- 70%-75% decrease in breakdowns
- 35%-45% reduction in downtime.
In essence, farmers gain a much better way of ensuring that their equipment functions at peak performance.
Traditional methods of livestock monitoring relied on individuals manually inspecting animals and looking for signs of disease or injury, a costly, highly unreliable, and inefficient method. IoT livestock management solutions take the guesswork out of determining an animal’s health.
How does IoT livestock management work? Using a wearable collar or tag, battery-powered sensors monitor an animal’s:
- Blood pressure
- Heart rate
The information is wirelessly sent to an application in near-real-time. Farmers access information via mobile devices and so they are able to:
- Check the health and location of each animal in their herds from anywhere
- Receive alerts if a metric falls outside of the normal range
- Know immediately which livestock is affected and which is not.
Also, no longer must farmers physically examine each animal’s vitals to see if an illness has spread. Temperature tracking helps to determine the peak of mating season. Livestock monitoring solutions also use tracking to gather and store historical data on preferred grazing spots
Keeping livestock healthy is important because if they become ill, their development falls behind their cohorts. Such animals typically do not catch up to the rest of the herd, and they become less valuable to the farmer. With IoT, farmers gain more insight into their animals’ health and well-being.
Farmers need to increase efficiency. Decades ago, farmers began replacing manual work with machines. Now, IoT offers them the next step in that process:
- Use computer technology to take on work typically done by hired hands.
- Streamline repetitive manual tasks, such as irrigation, fertilization, pest control, and even seed plantating.
- Sift through large volumes of performance data, like crop growth, herd eating, and soil conditions.
- Find aberrations
- Send alerts automatically to staff smartphones, as needed.
Famers become more informed and more proactive with these capabilities. They see problems, dig into the issue, troubleshoot, create workarounds, and work faster and more efficiently.
Farming is a mature, highly competitive, manually intensive industry. Emerging IoT technology streamlines operations in areas like soil management, predictive maintenance, and automation. Using smart sensors to collect environmental and machine metrics enables farmers to make informed decisions and improve just about every aspect of their daily workflow.