Rice yield estimation using deep learning
N Mishra, S Mishra, HK Tripathy - International Conference on Innovations …, 2022 - Springer
Global and regional food security heavily relies on effective yield estimation results. Thus
precise and on-time rice yield estimate or prediction is a pivotal factor not only to ensure …
precise and on-time rice yield estimate or prediction is a pivotal factor not only to ensure …
Predicting agriculture yields based on machine learning using regression and deep learning
Agriculture contributes a significant amount to the economy of India due to the dependence
on human beings for their survival. The main obstacle to food security is population …
on human beings for their survival. The main obstacle to food security is population …
Rice yield prediction and model interpretation based on satellite and climatic indicators using a transformer method
As the second largest rice producer, India contributes about 20% of the world's rice
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …
Crop yield estimation in India using machine learning
Agriculture in India is significant economic support. The population growth is the major
challenge for food security. The population growth makes a rise in demand which requires …
challenge for food security. The population growth makes a rise in demand which requires …
Crop yield prediction using machine learning and deep learning techniques
K Jhajharia, P Mathur, S Jain, S Nijhawan - Procedia Computer Science, 2023 - Elsevier
Agriculture is a significant contributor to India's economic growth. The rising population of
country and constantly changing climatic conditions have an impact on crop production and …
country and constantly changing climatic conditions have an impact on crop production and …
Performance analysis on machine learning algorithms with deep learning model for crop yield prediction
SA Shetty, T Padmashree, BM Sagar… - Data intelligence and …, 2021 - Springer
Crop yield prediction is the task of estimating the yield of the crop in terms of kilogram per
hectare by considering various features like weather conditions, soil properties, water level …
hectare by considering various features like weather conditions, soil properties, water level …
Emerging trends in machine learning to predict crop yield and study its influential factors: A survey
Agriculture is one of the most crucial field contributing to the development of any nation. It
not only affects the economy of nation but also has impact on the world food grain statistics …
not only affects the economy of nation but also has impact on the world food grain statistics …
Deep learning based framework for crop yield prediction
Y Sucharitha, PCS Reddy, TN Chitti - AIP Conference Proceedings, 2023 - pubs.aip.org
Agriculture plays a significant role in improving economy of the nations. India is an agrarian
nation and its economy principally dependent on crop profitability. The effect of …
nation and its economy principally dependent on crop profitability. The effect of …
A systematic literature review on crop yield prediction with deep learning and remote sensing
Deep learning has emerged as a potential tool for crop yield prediction, allowing the model
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
Rice yield prediction in hubei province based on deep learning and the effect of spatial heterogeneity
Timely and accurate crop yield information can ensure regional food security. In the field of
predicting crop yields, deep learning techniques such as long short-term memory (LSTM) …
predicting crop yields, deep learning techniques such as long short-term memory (LSTM) …