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| Bio-Sensors: The Future of Smart Agriculture | |
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| ÀÛ ¼º ÀÚ | ÀÓ°¡ºó |
| µî·ÏÀÏ | 2025-09-18 ¿ÀÈÄ 4:50:00 (HIT : 111) |
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Bio-Sensors: The Future of Smart
Agriculture As
climate change and resource scarcity continue to challenge global agriculture, it
became more crucial for farmers to reproduce their foods in effective ways. On
account of this, a huge number of scientists are paying attention to innovative
technologies that merge biology and materials science. One promising solution is
bio-sensors, detecting biological reactions and convert them into measurable
signals. These sensors are now being integrated with bio-materials to build a
foundation for next-generation¡¯s smart farming. The
original purpose of developing bio-sensors is protecting our health. However, recent
research trends are expanding into the fields of agriculture and biological
production systems. A bio-sensor is defined as a device composed of a
biological recognition element and a signal transducer, and it is used to
selectively and rapidly measure the presence or concentration of specific
components without the need for complex sample pretreatment (Hall, 1990). The
first generally recognized bio-sensor is the enzyme-electrode for glucose
detection developed by Clark and Lyons (1962), which was later commercialized
in 1974 by the Yellow Springs Instrument Company. There
are various types of agricultural sensors, but one important agricultural example
is the sensor used to detect pesticides and fertilizers in soil. These
bio-sensors can selectively identify chemical residues and nutrient levels,
allowing farmers to prevent excessive fertilizer use, reduce environmental
pollution, and maintain soil health. Through this metod, farmers not only can
improve the quality of products, but also can save a great deal of time and
money, which means that they can significantly increase the productivity. Moisture sensors and light sensors can also be
widely used in argruculture, especially in smart farms( one of the methods of
argriculture that collects real-time data from the farm environment and analyze
them through artificial intelligence or machine learning algorithms, to make
precise desicions about farming). In order to operate smart farms effectively,
farmers have to attach plenty of sensors in their. Bio-sensor play an integral
role in smart farms by providing real-time monitoring of crops, soil, and
environmental conditions. Through sensors AI can measure soil moisture and
light conditions so that allow crops to be raised in optimal condition of
irrigation and shading. Like
this, bio-sensors are conducive to maximizing crop yield and quality while
minimizig resource use and environmental impact. Essentially, the system
transforms traditional farming, which relies on observation and experience,
into a data-driven, highly efficient process. For these reasons, this
technology is highly promising and deserves considerable attention from
society. [reference] https://scienceon.kisti.re.kr/aiq/aihelper/AIHelperArticle.do?cn=JAKO200111920753258 https://www.energyfn.co.kr/news/articleView.html?idxno=20745 |
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