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Survey on Intelligent Autonomous Pollination for Future Farming


Sneha Milind Punde , RMD Sinhgad School Of Engineering, Warje ; Prof. Sonal Fatangare , RMD Sinhgad School Of Engineering, Warje


Artificial intelligence, autonomous pollination, future farming, robotic micro air vehicle, pattern recognition


Food security is one of the global problem. As most of food consumed by humans relies on animal pollination currently, this research provides an emanate solution to food supply reduction caused by natural pollinators population shrinking, so as to reduce its adverse impact on overall ecosystem. This paper develops a conceptual & flexible planning of autonomous pollination for future farming using robotic micro air vehicle pollinators (MPrs). The research provides new perceptivity into autonomous design and manufacture and into different possible ways to increase the production efficiency. Artificial intelligence and human expertise in the loop helps to develop autonomous MPrs for smart agricultural industry. Further, this work identifies scientific and technological advances that are expected to translate, within proposed regulatory frameworks, into the pervasive use of MPrs for agricultural applications and beyond.

Other Details

Paper ID: IJSRDV8I30914
Published in: Volume : 8, Issue : 3
Publication Date: 01/06/2020
Page(s): 906-909

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