Plant Diseases Diagnosis with Artificial Intelligence (AI)

Author:

Munawar Syed Muzammil,Rajendiran Dhandayuthabani,Sabjan Khaleel Basha

Publisher

Springer Nature Singapore

Reference11 articles.

1. Ananthi V (2020) Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images. In: Artificial intelligence techniques for satellite image analysis. Springer, pp 137–159

2. Baidar T (2020) Rice crop classification and yield estimation using multi-temporal sentinel-2 data: a case study of Terrain Districts of Nepal.

3. Bhagat M, Kumar D, Haque I, Munda HS, Bhagat R (2020) Plant leaf disease classification using grid search based SVM. In: 2nd International conference on data, engineering and applications (IDEA), pp 1–6

4. Cui J, Zhang X, Wang W, Wang L (2020) Integration of optical and SAR remote sensing images for crop-type mapping based on a novel object-oriented feature selection method. Int J Agric Biol Eng 13:178–190

5. Das S, Sengupta S (2020) Feature extraction and disease prediction from paddy crops using data mining techniques. In: Computational intelligence in pattern recognition. Springer, pp 155–163

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