Introduction - 

Farming is encountering various challenges that are amplifying the negative impacts on the economics, labor force, and the environment of farms. The implementation of Smart Farming Technologies (SFTs) is anticipated to play a crucial role in addressing and reversing this situation. Smart farming, also known as smart agriculture, involves the utilization of advanced technologies and data-driven farm practices to optimize and enhance sustainability in agricultural production. The concept of "Smart Farming Technologies" is a novel approach that aims to enhance the sustainability and productivity of agricultural operations. By monitoring animal movements both within and outside farms, analyzing livestock behavior patterns, detecting crop diseases at an early stage, reducing crop wastage, and improving crop harvesting efficiency, farmers can benefit from SFT. This strategy is designed to enhance agricultural productivity, sustainability, and efficiency by utilizing drones, sensors, and data analytics. Farms and agricultural sites that adopt smart farming practices are referred to as smart farms. In essence, smart farming is about farming intelligently! It integrates technologies such as sensors, drones, robots, and artificial intelligence to make farming more efficient, sustainable, and profitable.



 Core technologies:

1. Precision Agriculture (PA) Systems

  • Precision Agriculture (PA) Systems involve the use of specific agricultural management techniques tailored to the unique conditions of the land. 
  • It is considered a philosophy, an idea, and a managerial approach. Essentially, PA utilizes computer programs that control machinery via satellite signals or local sensor setups to predict crop growth. 
  • Precision agriculture, also referred to as high-tech sensor and analytic technologies, focuses on maximizing agricultural yields and aiding in decision-making processes. 
  • The concept of precision agriculture revolves around the notion of farming according to the soil, recognizing that soil characteristics vary geographically and impact production outcomes accordingly.

2. Agricultural automation and robotics have revolutionized the farming industry

  • Agricultural automation and robotics have significantly contributed to increasing agricultural productivity and efficiency. 
  • Robots, such as self-guided tractors and harvesters, equipped with GPS and vision technology, have become commercially available in the last two decades.
  • Farmers are now exploring autonomous devices for tasks like weed eradication, mowing, spraying, and harvesting. 
  • The integration of sensors and control systems has enabled the most efficient use of resources and management of pests and diseases. 
  • This technological revolution in agriculture is just beginning and promises to transform the way food is cultivated and harvested.



3. Farm management information systems (FMIS)

  • Farm management information systems (FMIS) are crucial for the efficient operation of productive farms. However, many farmers choose not to utilize FMISs due to various reasons, such as lack of awareness and the complexity of available systems. 
  • Finding suitable FMISs, especially for small to medium-sized and multifunctional farms, is a challenge. 
  • The objective of this research is to develop a specific FMIS tailored to the needs of medium-sized, multifunctional farms. 
  • This specific FMIS will prioritize the requirements of these farms, allowing farmers to effectively allocate limited resources. 
  • By managing farm information, facilitating decision-making, reducing production costs, and ensuring product quality and safety, this FMIS can greatly assist farmers in optimizing their operations.

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