Improved Soil Quality Prediction Model Using Deep Learning for Smart Agriculture Systems

Author:

Sumathi P.,V. Karthikeyan V.,S. Kavitha M.,Karthik S.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference23 articles.

1. A brief survey of classification techniques applied to soil fertility prediction;Sheela,2015

2. Towards a standard technique for soil quality assessment;De Paul Obade;Geoderma,2016

3. A survey of data mining techniques applied to agriculture;Mucherino;Operating Research International Journal,2009

4. Using classification algorithms for predicting durum wheat yield in the province of buenos aires;Romero;Computer Electronic Agriculture,2013

5. A practical two-step approach for mixed model-based kriging, with an application to the prediction of soil organic carbon concentration;Ritz;European Journal of Soil Science,2015

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How Can Soil Quality Be Accurately and Quickly Studied? A Review;Agronomy;2024-07-30

2. Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage;International Journal of Molecular Sciences;2023-12-20

3. A Multicloud-Based Deep Learning Model for Smart Agricultural Applications;Advances in Computational Intelligence and Robotics;2023-06-16

4. Explainable AI at Work! What Can It Do for Smart Agriculture?;2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM);2022-12

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