“Modern Agriculture Farming Technologies and Its Importance” is a developing concept that refers to handling farms using modern Information and Communication Technologies like Remote Sensing (RS), Internet of Things (IoT) robotics, drones, and (AI) to increase the quality and quantity of products while optimizing the human labor required
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Smart Farming
Introduction
Traditional farming as a practice has been in the past and it will continue in the future to be a manual and labor-demanding industry. With technologies such as big data & analytics, the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI) touching almost all the listed industry sectors know. How can it not be the case for Agriculture and modern Internet and Communication Technology (ICT) to interact?
According to a report published by the Food and Agriculture Organization (FAO) of the United Nations, there are going to be 8.5 billion human beings on the planet by 2030 and 9.6 billion inhabitants on the earth by the year 2050. It is estimated that to feed this population, food production must increase by 70% considering limited agricultural land, shortage of fresh water, and ever-changing climate conditions.
Future Farming | Gateway to the world of smart farming
To address this challenge, efforts are in place to improve the quality and quantity of agriculture products by making them intelligent and connected through “smart farming” also referred to as “precision farming”.
What is Future Farming | Gateway to the world of smart farming?
“Smart farming” is a developing concept that refers to handling farms using modern Information and Communication Technologies like Remote Sensing (RS), Internet of Things (IoT) robotics, drones, and (AI) to increase the quality and quantity of products while optimizing the human labor required.
Smart Farming Technologies
The intelligent farm includes the use of technology such as:
Sensors: soil scanning, water, light, temperature management, humidity, and pH
Telecommunications technologies such as advanced networking and GPS, GIS and Remote Sensing, and Satellite.
Hardware and software for specialized applications and for enabling IoT-based solutions, robotics, and automation
Data analytics tools for decision-making and prediction applications like Geo-Graphic Information system (GIS) and DSSAT. Data collection is a significant part of smart farming as the quantity of data available from crop yields, soil mapping, climate change, fertilizer applications, weather data, machinery, and animal health continues to escalate.
Robotics: Autonomous tractors, processing facilities, etc.
Modern Farming Systems
Along with remote sensing precisely smart farming system reduces wastage, improves productivity, and enables improved resource management. The benefit of micro-farming, where multiple crops are grown simultaneously on remote lands requires different care, soil, and water. By linking local sensors to smart irrigation and control, things like sensing the pH balance of the soil, and gauging local temperature are now possible through remote monitoring and sensing rather than walking the field all the time. This leads to an increase in the yield as farmers can save time and focus on the real issues of farming — pest control, irrigation, and amending soil conditions all using sensing and automation.
The precision farming system has a lot of dependency on software management systems. Control systems manage sensory input, delivering remote data for supply and decision support, as well as automation of machines and instruments for acting in response to rising problems and production support. Basically, it is a standardized business approach to balancing the demand and supply side with respect to resource management.
On the supply side consider the supply of land, analyzing the conditions — moisture, pH, and need for fertilizers.
During production, it is mostly resource management from a growth and yield perspective. For instance, precision seeding using automated tractors to reduce seed loss and seeding with proper space management between different plants. Another example is precision water delivery.
On the demand side, it is about demand forecasting and delivering goods just in time to reduce waste.
Importance of Smart Farming
By making farming more connected and intelligent, precision agriculture helps reduce overall costs and improve the quality and quantity of products, the sustainability of agriculture, and the experience for the consumer. Increasing control over overproduction leads to better cost management and waste reduction. The ability to trace anomalies in crop growth or livestock health, for instance, helps eliminate the risk of losing yields. Additionally, automation boosts efficiency. With smart devices, multiple processes can be activated at the same time, and automated services enhance product quality and volume by better controlling production processes.
Smart farming systems also enable careful management of the demand forecast and delivery of goods to market just in time to reduce waste. Precision agriculture is focused on managing the supply of land and, based on its condition, concentrating on the right growing parameters – for example, moisture, fertilizer, or material content – to provide production for the right crop that is in demand. The types of precision farming systems implemented depend on the use of software for the management of the business. Control systems manage sensor input, delivering remote information for supply and decision support, in addition to the automation of machines and equipment for responding to emerging issues and production support
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