2024
DOI: 10.21203/rs.3.rs-4129365/v1
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A Novel Deep Learning Model with Optimized Sparrow Search for Efficient Plant Stress Identification

Manjit Kaur,
Upinder kaur,
Osamah Ibrahim Khalaf
et al.

Abstract: In the current economic climate, one of the biggest problems facing the agriculture industry is the accurate and real-timeidentification of biotic and abiotic plant stressors that impact crop yield. The upshot is that illness detection models can’t handlethe pressures of practical, real-time use. By stressing the significance of adapting deep learning models to the intricacies ofdisease-specific datasets, our research presented a fresh approach to solving this critical problem. We provide a novel hybridsparrow… Show more

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