A REVIEW ON ROLE OF METAHEURISTIC AND MACHINE LEARNING IN WHEAT DISEASE DETECTION
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.5191Keywords:
Metaheuristic, Machine Learning, Leaf RustAbstract [English]
Wheat is one of the highest cultivated and important crops to mankind but diseases are known to reduce grain yield potential and quality and have historically caused major crop losses. Diseases detection is very important for increasing the livelihood of crops. The early detection of diseases can be very helpful in curing the disease completely. Many techniques have been developed to detect the diseases in wheat crop at an early stage. In this paper we have surveyed the meta heuristic and machine learning techniques used for the detection of wheat diseases. Both the techniques have shown the better results in increasing the efficiency and accuracy of the algorithms used for the detection the wheat crop disease.
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