artificial intelligence and the Internet of Things have brought the Agriculture sector a new facet with the advent of automatic data collection and analytics, along with the decreased need for intense manual labor. Hence, easing farmers’ pain points like little additional land, extreme weather conditions, natural disasters, climate change, and natural environmental change farming practices.
Catching a Sight of the Market
While the latest technologies are taking the world in a swirl, it’s essential to keep a tab on how the markets behave. As per the reports presented by Markets and Markets, it could be known that the AI and IoT-driven agriculture market is anticipated to grow up to USD 20.9 billion by 2024 from the value of USD 12.7 billion of the base year 2019. One of the few pivotal agents driving this market’s growth is accelerating demand for agricultural production owing to the rising population. Besides, farmers’ high adoption of IoT and AI technology, rich concentration on livestock monitoring, and disease detection have efficiently enhanced the farming arena.
Applications Driven by AI & ML
Agriculture has brightly witnessed the approach of AI and ML technologies like robots, ground-based wireless sensors, and drones in its farming landscape. These technologies help farmers monitor growing conditions, collect and interpret the different farming data, and ultimately provide inputs regarding better crop yield.
Being driven by the data collection and analysis, it has been projected that by 2050, the ideal farms are likely to produce an average of 4.1 million data cases each day. Hence, forming up as the primary reason for the rise of investment in cloud services and edge computing used to process the data.
Check out the few use-cases of AI and ML-driven Agriculture:
The right time for sowing the seeds? Is a tricky question, though. Artificial Intelligence makes it easy by analyzing the change in the climatic condition and increase in pollution, thereby suggesting the best time to sow the seeds and the type of crop that could be grown.
Soil and Crop Health Monitoring System
Employ AI technology that would help you identify the nutrient deficiencies in soil, including plant pests and diseases. It can also furnish ideas and methods to farmers regarding the use of fertilizers, eventually aiding in the harvest quality. Artificial Intelligence helps through techniques such as image recognition to further provide good soil restoration ideas and tips. Hence, proving to be an effective way of monitoring soil and crop health conditions yields a higher level of productivity.
AI has gifted the agricultural sector with the robotics technology that allows farmers to focus on tasks of more value, ultimately improving overall production yields. Agricultural robots lend significance to the farming sector by automating slow, repetitive, and dull farmers’ tasks. They help in cases like harvesting and picking, weed control, phenotyping, sorting, and packing, etc., amongst a well-spun series.
AI-enabled system to detect pests
AI-enabled systems stand to be the ideal option for detecting the presence of insects in the farms, along with the type of insects such as grasshopper, locust, etc. These systems also assist farmers by sending them alerts required to take precautions and use required pest control.
IoT, and the Agricultural Use-Cases
Internet of Things is exploiting the agricultural sector in the most effective and helpful format. IoT is lending the max help possible from helping farmers minimize the production of waste to assist them in maximizing the level of productivity. IoT provides the farming sector with amenities like crop field monitoring that uses sensors like humidity, temperature, soil moisture, etc., irrigation system automation, and more.
Here are a few use-cases of IoT in the : Agritech sector
One of the most intriguing use-cases of IoT in the farming arena, Precision Farming, allows for the adoption of mobile devices, high-speed internet, low-cost and reliable satellites for positioning and imagery. It facilitates the farming process with a more precise and pre-planned facet with methods like field monitoring, health tracking, and inventory monitoring. With IoT, precision farm management uses various input components like sensors, control systems, robotics, autonomous vehicles, automated hardware, variable rate technology.
Agricultural Drones are just enhancing agricultural practices. They ingrain a range of benefits to farmers with their feature of collecting information regarding crop and plant health, the existing lifecycle of crops, GPS map of your current crop area, division of land as per the types of crops, etc. Thus, helping in effective crop monitoring, mapping, surveying, and obtaining real-time information.
IoT applications can instill great value in collecting information and data about the location, health, and well-being of their livestock. Hence, helping them undertake necessary actions as and when required. For instance, if an animal is injured, sick, or gives birth, it can be given proper care and treatment to maintain its health and eliminate the risk of disease spread as soon as possible. It reduces labor costs as the farm owners can quickly locate their cattle with IoT-based sensors.
On the Final Notes
There’s no doubt that IoT and AI are the best-ever options for enhancing the productivity of agriculture in the most effective way. While IoT applications enable farmers to collect data that is essential to maintain better farm practices and to improve business growth, on the other side, AI is helping farmers automate their farming. Improve your business with the next-level Agritech… simply connect with Teksun’s team of industry experts and indulge in precise cultivation for higher crop yield and better quality while using fewer resources. Receive everything from professional consultancy to services focused at Agritech, to ready-made solutions like Smart Soil Sensor for Farm & Garden, Smart Humidity Sensor for Agriculture Industry, NDVI Camera Design For Crop Health Monitoring, and more.