Classification of crop based on macronutrients and weather data using machine learning techniques-Reference-Cited by-同舟云学术

Classification of crop based on macronutrients and weather data using machine learning techniques

Published:2021-03 Issue: Volume:9 Page:100203
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Dash Ritesh^ORCID,Dash Dillip Ku,Biswal G.C.

Publisher

Elsevier BV

Subject

General Engineering

Reference8 articles.

1. Delineation of ground water prospect zone in hard rock terrine part of purulia district of West Bengal India using remote sensing & GIS approach;Bera;IJSRCSEIT,2018

2. Bureau of Applied Economics & Statistics, District-wise Estimates of Yield Rate and Production of Nineteen Major Crops of West Bengal (1995-2006, 2010-2015), Department of Statistics and Programme Implementation, Government of West Bengal.

3. Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption, and water productivity in the Indo-Gangetic river basin;Cai;Agric. Water Manag.,2010

4. Predicting rice yield using canopy reflectance measured at the booting stage;Chang;Agron. J.,2005

Cited by 40 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. A predictive analytics model with Bayesian-Optimized Ensemble Decision Trees for enhanced crop recommendation;Decision Analytics Journal;2024-09

2. Enhancing Crop Productivity Through Land Dataset Analysis on Selecting the Right Crops for the Right Land;Advances in Computational Intelligence and Robotics;2024-08-30

3. IoT-Enabled Machine Learning-Based Smart and Sustainable Agriculture;Advances in Environmental Engineering and Green Technologies;2024-06-07

4. Smart Crop Cultivation: Harnessing Machine and Deep Learning for Informed Agricultural Practices;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

5. Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series;International Journal of Digital Earth;2024-05-29