New Algorithm for Flower Yield estimation and yield comparison using Matlab

نویسندگان

  • Kriti Sharma
  • Anoop Singhal
چکیده

India is one of the biggest makers of blossoms, organic products, and so on. In any case, the monetary commitment of agriculture to India’s. Total national output (GDP) is consistently declining. Hence distinctive issues are rising in the parts of agriculture generation and promoting. These issues have hence prompted new techniques in the rural examination. In manual tally, results are mistaken because of more noteworthy measure of depletion of a ceaseless and redundant work. Counting is a vital stride in yield estimation so it ought to be exact and exact. In the event that yield is overestimated, the cash will be lost in pre-requests of boats and trucks and a huge venture might be blocked as a result of extreme bundling. On the off chance that thought little of, issue of deficient pressing material, gatherers and absence of time to organize vehicles must be faced. In this proposed work a progression of picture handling strategies have been connected to include the blooms a picture absolutely along these lines assess the yield. This work concentrated on evaluating the quantity of blossoms in the field under the common sunshine condition. In our work apart for counting the flowers, we have also compare the yield with the threshold value to get that the yield is appropriate or not. And also we have maintained a yield comparison with the previous year yields stored in the database.

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تاریخ انتشار 2016