DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification

<table class="table-group" id="tab10"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Disease type</td><td class="align_center">Recall (%)</td><td class="align_center">F1-score (%)</td><td class="align_center">Precision (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Leaf mold</td><td class="align_center">99</td><td class="align_center">98</td><td class="align_center">97</td></tr><tr><td class="align_left">Septoria leaf spot</td><td class="align_center">97</td><td class="align_center">98</td><td class="align_center">93</td></tr><tr><td class="align_left">Yellow leaf curl virus</td><td class="align_center">82</td><td class="align_center">87</td><td class="align_center">96</td></tr><tr><td class="align_left">Tomato mosaic virus</td><td class="align_center">93</td><td class="align_center">89</td><td class="align_center">99</td></tr><tr><td class="align_left">Target spot</td><td class="align_center">96</td><td class="align_center">97</td><td class="align_center">84</td></tr><tr><td class="align_left">Two-spotted spider mite</td><td class="align_center">98</td><td class="align_center">97</td><td class="align_center">97</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance evaluation of each disease.</div>

Computational Intelligence and Neuroscience

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Table 10

Table 10: DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification 

Table 10 | DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification 