IEEE_1

research
  • 21 Mar
  • 2024

IEEE_1

The world population is expected to grow by
over a third by 2050. Market demand for food will continue to
grow. Automated drones and different robots in savvy
cultivating applications offer the possibility to screen ranch
arrive on a for each plant premise, which thus can diminish the
measure of herbicides and pesticides that must be applied.
There is a gap between current food productivity growth and
needed growth. To boost the yield, farmers switched to
extensive use of chemical fertilizers. Excessive fertilizer usage
has its negative impact like decreased yield, wastage of
fertilizer, damage to soil, and groundwater contamination.
Currently, farmers mostly rely on guesswork, estimation,
experience when deciding the crop that should grow, and the
fertilizer that should be used. In this paper, we have proposed
a solution that uses technologies like Machine Learning, Image
Processing, and the Internet of things to improvise farm
productivity and at the same time, decrease the fertilizer usage.
This paper describes the outcomes of a prototype implemented
in Rajasthan, India.

Unduhan

 

REFERENSI

Cari

Bidang Ilmu

Kategori

Kiriman Terbaru