Predicting Chlorophyll Intensity Of Various Plants Using Improved Convolutional Neural Network
Chlorophyll pigment is beneficial during photosynthesis to absorb sufficient light energy and provide nutrients to the plant to grow healthy. A convenient assessment of chlorophyll content is essential in smart management agriculture. Several attempts have been made to implements computer vision...
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Format: | Final Year Project Report |
Language: | English English |
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Universiti Malaysia Sarawak, (UNIMAS)
2023
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Online Access: | http://ir.unimas.my/id/eprint/42987/1/MICHELLE%20NASHRIN%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/42987/2/MICHELLE%20NASHRIN%20%28Fulltext%29.pdf http://ir.unimas.my/id/eprint/42987/ |
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