A convolutional neural network model and algorithm driven prototype for sustainable tilling and fertilizer optimization
Abstract Tilling, a common agricultural practice, is being done excessively on farms leading to about 2.35 billion tons of soil erosion from US croplands annually, in addition to causing soil infertility, carbon release, nutrient runoff, and fertilizer over-usage. This paper evaluates whether optimi...
Saved in:
Main Author: | Sajeev Magesh |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | npj Sustainable Agriculture |
Online Access: | https://doi.org/10.1038/s44264-024-00046-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons
by: K. Jayasree, et al.
Published: (2025-01-01) -
A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks
by: Vikram S. Ingole, et al.
Published: (2024-12-01) -
Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network
by: Li Ma, et al.
Published: (2021-01-01) -
Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network
by: Xun Duan, et al.
Published: (2021-01-01) -
A machine learning interpretation of the correlation between poverty and air pollution in the contiguous United States
by: Sajeev Magesh, et al.
Published: (2025-01-01)