AN OPTIMIZED SOIL FEATURES PREDICTION USING SATELLITE IMAGE DATABASE Applied Soft Computing Techniques Theoretical Principles and Practical Applications, 2025
An optimized deep network based soil texture prediction and vegetation analysis using satellite image database Mallekedi Anand, Anuj Jain, Manoj Kumar Shukla Concurrency and Computation Practice and Experience, 2023 SummaryThe usage of satellite images has grown rapidly in digital applications. Predicting features in the satellite images using conventional techniques is not an easy task as the images captured from satellites are more complex with highly noisy features. Hence, traditional imaging algorithms cannot analyze the image features and specify the soil textures. In this work, the Tarakeswar satellite images were taken to estimate the soil textures and crops yielding. Hence, to find the soil's chemical properties and suitable crops, the novel bat‐based U‐Net feature prediction system (BUFPS) was developed with the required features. The imported satellite images were initially filtered and entered into the classification phase to forecast the present chemical features and suitable crops in specific soils. After detecting the chemical features, soil textures like sandy, silt, and clay were categorized; the crops like jute, rice, lentil, and potato were considered. Finally, the planned model is executed in the MATLAB environment and has gained outstanding results by achieving the lowest error rate of 8% and a high prediction score of 92%. The proposed model has achieved exact soil texture analysis for complex satellite images. The gained texture analysis outcome is quite better than other existing models.
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AUTOMATIC IDENTIFICATION OF BRAIN TUMOUR USING MATLAB BY FUZZY C MEANS CLUSTERING VPSS B. Ramu, M. Anand International Journal of Advanced Research in Engineering and Technology … , 2021 2021 Citations: 3
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Intelligent organic matter prediction of agriculture soil using satellite images M Anand, A Jain, MK Shukla Multimedia Tools and Applications 83 (40), 88113-88136 , 2024 2024 Citations: 1
Image compression using neural networks. S Yagnasree, A Subramanyam, M Anand 2021 Citations: 1
Deep Learning-Based Time-Frequency Attention Network Model for Water-Body Segmentation S Yechuri, S Ramadevi, M Anand, VK Velpula, G Miriyala, V Siddhartha Engineering Proceedings 124 (1), 72 , 2026 2026
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An Optimized Soil Features Prediction Using Satellite Image Database M Anand, A Jain, MK Shukla Applied Soft Computing Techniques, 351-361 , 2025 2025
Vertical PREDICTING THE STABILITY OF PEROVSKITE SOLAR CELLS WITH ADVANCED MACHINE LEARNING M Anand 2025
Comparative Analysis of Soil Properties to Predict Crop Selection Using Machine Learning Algorithms Mallekedi Anand,Dr. Anuj Jain, Dr. Manoj Kumar Shukla Lovely Professional University , 2025 2025
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SMART HELMET CN M. ANAND, JELLA ABHINAV, K.SRAVANTH KUMAR Pramana Research Journal 9 (4), 730-735 , 2019 2019
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