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Artificial intelligence in agriculture: Current status and future need

Jatin VaishnavNitu Rani

Abstract

Artificial intelligence had been shown its importance in other sectors. It reduces the need of man power and increase the efficiency. AI is recently entered in agriculture sector. Due to rapidly increasing in global population we need to increase the our production but problem is that we have only limited land for crop cultivation, there are other problem also like irregular monsoon, uneven rainfall, weed, pest and disease problem. Artificial intelligence paly a crucial role in overcome these problem. By the help of AI we can manage soil health, weed, pest and disease of crop. Robotics and automation reduce the farm budget and need of resources. Drones can help in irrigation, fertigation, weed management. We can also predict precipitation. This study outline the use of AI in agriculture (like drones, Robots, digital twin, chat box, disease, weed, pest management)and future scope of AI in agriculture.

Smart Agriculture and AIAgricultureWeedPopulationDroneAgricultural engineeringComputer scienceAgroforestryBusinessEngineeringAgronomy
Citations
2
FWCI
0.42
field-weighted impact
References
52
Percentile
72%
vs. same field & year
Citations per year
References
Mungbean and weed growth as affected by potassium and weed control methods
International Journal of Research in Agronomy · 2020 · 6 citations
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Artificial intelligence in agriculture: Current status and future need · Scinovex