Smart farming is an emerging concept that refers to the management of farms that use modern information and communication technology to increase the quantity and quality of products. Smart farming refers to the 1940s Green Revolution in agriculture, which combines agricultural methods and technologies with sensors, actuators, information and communication technologies (ICT), Internet of Things (IoT) and robotic drones to achieve the desired efficiency in production while managing costs. Smart farming based on IoT is not targeted at large farms, but it improves the value of emerging trends in agriculture, such as organic and family farming including the breeding of certain cattle, the cultivation of certain crops, the conservation of especially high-quality varieties and the improvement of transparent agriculture for consumers, society and market awareness.
Smart farming makes it easier for farmers to measure variables and process data accurately. Using soil and crop sensors, aerial drone surveillance and agricultural mapping, farmers can understand the detailed dependencies between conditions and crop quality. This can lead to higher yields, as farmers save time and focus on the real problems of agriculture, such as pest control, irrigation and changing soil conditions through sensors and automation.
In the case of precision farming, intelligent farming techniques allow farmers to monitor the needs of each animal and adjust their diet to prevent disease and improve herd health. Using IoT sensors to capture environmental and machine indicators, farmers can make informed decisions to improve all aspects of their work with livestock and crops.
Precision farming, which uses the IoT, relies on data collected from various sensors in the field to help farmers allocate sufficient resources to a plant. Smart farming supports sustainable and cost-effective agriculture by combining navigation, satellite and earth observation data to make it easier for farmers to make informed decisions about how they grow. In the past, farmers used a smart farming approach to collect data and then make informed decisions from that data.
Monitoring and collecting data on soil moisture, air temperature and humidity can improve crop yields on large local farms. Efforts are taken to improve the quality and quantity of agricultural products by making them smarter and connected, also known as precision farming, to improve the quality and quantity of agricultural products. The IoT Solutions (Internet of Things) refers to recent advances in intelligent agriculture, which is data-driven and uses artificial intelligence (AI) to make better decisions.
From a farmer’s perspective, smart farming offers them added value in terms of better decision-making and more efficient use and management. We do not deny that intelligent agricultural technologies can play an important role in sustainable agricultural production without the need for a technological revolution or less social change.
One or more types of IoT solutions for agriculture have elements of precision farming and plant management equipment. The most complex approach for IoT products in agriculture is the so-called Farm Productivity Management System.
For example, Allmeteo, an IoT-based agricultural project, provides farmers with specialized software and equipment that monitors weather conditions and alarms to warn the farmers of extreme temperatures, frosty and rainy weather early on in their fields. There is no shortage of applications for emerging technologies such as the Internet of Things, Cloud Computing, Robotics and Artificial Intelligence (AI), and smart agricultural approaches that can use precision fertilizers, pesticides and herbicides.
Technologies such as blockchain to measure food supply chains and IoT sensors on the ground to test soil quality help farmers in the world to improve their agriculture.
One of the most important IoT solutions is the implementation of technologies that interact in agriculture via communication networks with each other, known as intelligent farming. Smart farming involves the use of networked technologies to achieve specific production goals and processes to support sustainable agriculture. Smart farms are keen to use big data in decision-making to solve problems and achieve a range of production goals.
Data from Smart Tani sensors provide critical environmental data for farms, while URUS Tani, a homemade digital farm management system under Singularity Aerotech Asia (SAT) umbrella, helps farmers collect operational data including inventory, personnel planning and management.