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Automation in agriculture nowadays is the main focus and area of development for various countries. The population rate of the world is increasing rapidly and will be double in upcoming decades and the need of food is also increasing accordingly. To meet this rapid growth in demand, agriculture automation is the best solution. Traditional strategies employed by farmers are not efficient enough to fulfill the rising demand. Improper use of nutrients, water, fertilizers and pesticides disturbs the agricultural growth and the land remains barren with no fertility. This research paper presents different control strategies used to automate agriculture such as: IoT, aerial imagery, multispectral, hyperspectral, NIR, thermal camera, RGB camera, machine learning, and artificial intelligence techniques. Problems in agriculture like plant diseases, pesticide control, weed management, irrigation and water management can easily be solved by different automated and control techniques mentioned above. Automation by advance control strategies of agricultural methods have verified to increase the crops yield and also the soil fertility become strong. This research paper reviews and observe the work of different researchers to present a brief summary about the trends in smart agriculture and also provides the work flow and revenue of smart agriculture system in figure 15 using technologies verified by researchers in their research papers.
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Hassan et al. (Fri,) studied this question.
synapsesocial.com/papers/69de3d9c1c2d3320f8b0bead — DOI: https://doi.org/10.1109/access.2021.3057865
Syeda Iqra Hassan
Sir Syed University of Engineering and Technology
Muhammad Mansoor Alam
Riphah International University
Usman Illahi
National University of Sciences and Technology
IEEE Access
SHILAP Revista de lepidopterología
Umm al-Qura University
University of Kuala Lumpur
Gomal University
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