Nutrient Deficiency Detection using a MobileNet: An AI-based Solution

Raju, S.Hrushikesava; Adinarayna, S.; Prasanna, N.Merrin; Jumlesha, Shaik; Sesadri, U.; Hema, Chindu

doi:10.1109/i-smac58438.2023.10290697

2023 7th International Conference on I-Smac (IoT in Social, Mobile, Analytics and Cloud) (I-Smac) 2023

DOI: 10.1109/i-smac58438.2023.10290697

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Nutrient Deficiency Detection using a MobileNet: An AI-based Solution

S.Hrushikesava Raju,

S. Adinarayna,

N.Merrin Prasanna

et al.

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2024

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Nutritional Monitoring of Rhodena Lettuce via Neural Networks and Point Cloud Analysis

Ramírez-Pedraza,

Salazar-Colores,

Terven

et al. 2024

AgriEngineering

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In traditional farming, fertilizers are often used without precision, resulting in unnecessary expenses and potential damage to the environment. This study introduces a new method for accurately identifying macronutrient deficiencies in Rhodena lettuce crops. We have developed a four-stage process. First, we gathered two sets of data for lettuce seedlings: one is composed of color images and the other of point clouds. In the second stage, we employed the interactive closest point (ICP) method to align the point clouds and extract 3D morphology features for detecting nitrogen deficiencies using machine learning techniques. Next, we trained and compared multiple detection models to identify potassium deficiencies. Finally, we compared the outcomes with traditional lab tests and expert analysis. Our results show that the decision tree classifier achieved 90.87% accuracy in detecting nitrogen deficiencies, while YOLOv9c attained an mAP of 0.79 for identifying potassium deficiencies. This innovative approach has the potential to transform how we monitor and manage crop nutrition in agriculture.

show abstract

Nutritional Monitoring of Rhodena Lettuce via Neural Networks and Point Cloud Analysis

Ramírez-Pedraza,

Salazar-Colores,

Terven

et al. 2024

AgriEngineering

View full text Add to dashboard Cite

show abstract

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Nutrient Deficiency Detection using a MobileNet: An AI-based Solution

Cited by 1 publication

References 18 publications

Nutritional Monitoring of Rhodena Lettuce via Neural Networks and Point Cloud Analysis

Nutritional Monitoring of Rhodena Lettuce via Neural Networks and Point Cloud Analysis

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