Forewarning system of dynamic balance between cultivated land supply and demand at multimeasures based on remote sensing techniques

2004 ◽  
Author(s):  
Yanfang Liu
Keyword(s):  
Remote Sensing ◽  
Dynamic Balance ◽  
Supply And Demand ◽  
Cultivated Land ◽  
Land Supply ◽  
Remote Sensing Techniques ◽  
Forewarning System ◽  
Land Supply And Demand ◽  
Cultivated Land Supply

scholarly journals Using Remote Sensing and an Unmanned Aerial System for Weed Management in Agricultural Crops: A Review

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1809
Author(s):  
Muhammad Huzaifah Mohd Roslim ◽  
Abdul Shukor Juraimi ◽  
Nik Norasma Che’Ya ◽  
Nursyazyla Sulaiman ◽  
Muhammad Noor Hazwan Abd Manaf ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Weed Management ◽  
Management Practices ◽  
Crop Yields ◽  
Supply And Demand ◽  
Learning Approaches ◽  
Future Challenges ◽  
Aerial Vehicle ◽  
Remote Sensing Systems ◽  
Remote Sensing Techniques

Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients, light, space, and carbon dioxide, which need to be controlled to meet future food production requirements. The integration of drones, artificial intelligence, and various sensors, which include hyperspectral, multi-spectral, and RGB (red-green-blue), ensure the possibility of a better outcome in managing weed problems. Most of the major or minor challenges caused by weed infestation can be faced by implementing remote sensing systems in various agricultural tasks. It is a multi-disciplinary science that includes spectroscopy, optics, computer, photography, satellite launching, electronics, communication, and several other fields. Future challenges, including food security, sustainability, supply and demand, climate change, and herbicide resistance, can also be overcome by those technologies based on machine learning approaches. This review provides an overview of the potential and practical use of unmanned aerial vehicle and remote sensing techniques in weed management practices and discusses how they overcome future challenges.

scholarly journals Models for analyzing the driving force of cultivated land supply change

2004 ◽  
Vol 7 (1) ◽  
pp. 18-23
Author(s):  
Liu Yanfang ◽  
Zhang Yuqian ◽  
Xiao Bin
Keyword(s):  
Driving Force ◽  
Cultivated Land ◽  
Land Supply ◽  
Cultivated Land Supply
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