气候变化领域集成服务门户(CCPortal): Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities

CCPortal

DOI	10.1109/ACCESS.2024.3380830
	Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities
	Mehedi, Ibrahim M.; Hanif, Muhammad Shehzad; Bilal, Muhammad; Vellingiri, Mahendiran T.; Palaniswamy, Thangam
发表日期	2024
ISSN	2169-3536
起始页码	12
卷号	12
英文摘要	As the world's population rises, there will be a greater need for food, which will have repercussions on the environment and on crop yields. Increased production, efficient resource allocation, climate change adaptation, and diminished food waste are the four cornerstones of Agriculture 4.0's vision for the future of farming. Agriculture 4.0 makes use of cutting-edge data systems and Internet technology to acquire, analyze, and organize massive amounts of farming facts such as weather reports, soil conditions, market demands, and land usage to better guide farmers' decisions and boost their bottom lines. As a result, research on agricultural decision support systems for Agriculture 4.0 has gained significant momentum. Crop monitoring and yield forecasting are two applications where remote sensing has proven useful, and these two areas are intrinsically linked to variations in soil, weather, and biophysical and biochemical factors. Multi- and hyper-spectral data, radar, and lidar imaging are just some of the remote tools that could be employed for crop monitoring and yield forecasting. This paper's goal is to examine some of the difficulties that can arise in the future while using agricultural decision-support platforms in the context of Agriculture 4.0. Addressing these identified obstacles may help future researchers create better decision-assistance systems. This research examines the possibilities, benefits, and drawbacks of each method, as well as how well they work in various agricultural settings. Furthermore, these methods are demonstrated in a variety of strategies that can be effectively employed. In this research, we take a look at some remote sensing techniques developed to increase farm profits while minimizing their impact on the natural world. This research shows how remote sensing information can be used to predict crop yields, evaluate plant nutrient needs and soil nutrient levels, calculate plant moisture levels, and manage weed populations, among other applications.
英文关键词	Climate change; Decision support systems; Remote sensing; Soil measurements; Crop yield; Smart agriculture; Precision agriculture; Food products; Food security; Laser radar; Hyperspectral imaging; Agriculture 40; decision-support platforms; remote sensing; soil nutrient levels; crop yields
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001193848300001
来源期刊	IEEE ACCESS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290835
作者单位	King Abdulaziz University; King Abdulaziz University
推荐引用方式 GB/T 7714	Mehedi, Ibrahim M.,Hanif, Muhammad Shehzad,Bilal, Muhammad,et al. Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities[J],2024,12.
APA	Mehedi, Ibrahim M.,Hanif, Muhammad Shehzad,Bilal, Muhammad,Vellingiri, Mahendiran T.,&Palaniswamy, Thangam.(2024).Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities.IEEE ACCESS,12.
MLA	Mehedi, Ibrahim M.,et al."Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities".IEEE ACCESS 12(2024).