BOOK-CHAPTER

TRANSFORMING AGRICULTURE: THE RISE OF SMART FARMING

Abstract

Smart farming, also known as precision agriculture, is a modern agricultural approach that leverages advanced technologies, data analytics, and automation to optimize various aspects of farming operations. This abstract provides an overview of the key components and benefits associated with smart farming. Smart farming integrates cutting-edge technologies such as sensors, drones, GPS systems, and Internet of Things (IoT) devices to collect real-time data on various environmental and agricultural parameters. This data is then analyzed using advanced algorithms and artificial intelligence to make informed decisions and improve farming practices. One of the primary objectives of smart farming is to enhance resource efficiency. Through precise monitoring and control of factors like soil moisture, temperature, and nutrient levels, farmers can optimize irrigation, fertilization, and pesticide application, reducing resource wastage and environmental impact. Automation plays a crucial role in smart farming, with autonomous vehicles and machinery being employed for tasks like planting, harvesting, and pest control. This not only reduces labor requirements but also enhances efficiency and productivity. Data-driven decision-making is a hallmark of smart farming. Farmers can access real-time information about their crops and livestock, enabling them to respond promptly to changing conditions and make informed choices about crop selection, planting times, and breeding strategies. Smart farming also promotes sustainability by minimizing the use of chemicals, conserving water, and reducing greenhouse gas emissions. It allows for precise management of resources, which is especially important in the face of climate change and increasing global food demand. Furthermore, smart farming contributes to better risk management by providing early warnings for potential issues such as disease outbreaks or adverse weather conditions. This proactive approach can mitigate losses and improve yield predictability. In conclusion, smart farming represents a transformative shift in agriculture, harnessing the power of technology and data to optimize farming practices, improve resource efficiency, and promote sustainability. It offers the potential to address the challenges of feeding a growing global population while minimizing the environmental impact of agriculture.

Keywords:
Agriculture Precision agriculture Sustainability Business Computer science Agricultural engineering Engineering Geography Ecology

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FWCI (Field Weighted Citation Impact)
0
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0.81
Citation Normalized Percentile
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Citation History

Topics

Smart Agriculture and AI
Life Sciences →  Agricultural and Biological Sciences →  Plant Science

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