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Implementation of Plant Leaf Disease Detection Using Beagle Bone

Implementation of Plant Leaf Disease Detection Using Beagle Bonevon Vijay Bhong Sie sparen 14% des UVP sparen 14%
Über Implementation of Plant Leaf Disease Detection Using Beagle Bone

In agriculture field there are various diseases; especially leaf diseases are the most popular diseases where spots occurs on the leaves. If these spots are not detected on time it may causes several losses. Insects are also affecting the leaves, if not treated on time may cause severe loss. Excessive use of pesticides for plant treatment increases the cost and environmental pollution so their use must be minimized. It is observed that many farmers are still using traditional methods for spraying fertilizers. These methods are more time and money consuming and also require large man power. By using traditional methods for spraying fertilizers may cause different effects on farmer¿s health and it does not give accurate results. The solution for the discussed problem is to design autonomous robot for performing different farming work like detect the diseases on crop, suggest the pesticide for that disease and spray the fertilizer on crop. By using autonomous farming robot save the excessive use of pesticide, save labour cost and protect farmer¿s health from pesticide.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783330077423
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 76
  • Veröffentlicht:
  • 2. Mai 2017
  • Abmessungen:
  • 150x5x220 mm.
  • Gewicht:
  • 131 g.
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Beschreibung von Implementation of Plant Leaf Disease Detection Using Beagle Bone

In agriculture field there are various diseases; especially leaf diseases are the most popular diseases where spots occurs on the leaves. If these spots are not detected on time it may causes several losses. Insects are also affecting the leaves, if not treated on time may cause severe loss. Excessive use of pesticides for plant treatment increases the cost and environmental pollution so their use must be minimized. It is observed that many farmers are still using traditional methods for spraying fertilizers. These methods are more time and money consuming and also require large man power. By using traditional methods for spraying fertilizers may cause different effects on farmer¿s health and it does not give accurate results. The solution for the discussed problem is to design autonomous robot for performing different farming work like detect the diseases on crop, suggest the pesticide for that disease and spray the fertilizer on crop. By using autonomous farming robot save the excessive use of pesticide, save labour cost and protect farmer¿s health from pesticide.

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