A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications
D Elavarasan, PMD Vincent - IEEE access, 2020 - ieeexplore.ieee.org
Predicting crop yield based on the environmental, soil, water and crop parameters has been
a potential research topic. Deep-learning-based models are broadly used to extract …
a potential research topic. Deep-learning-based models are broadly used to extract …
Prediction of crop yield using phenological information extracted from remote sensing vegetation index
Z Ji, Y Pan, X Zhu, J Wang, Q Li - Sensors, 2021 - mdpi.com
Phenology is an indicator of crop growth conditions, and is correlated with crop yields. In this
study, a phenological approach based on a remote sensing vegetation index was explored …
study, a phenological approach based on a remote sensing vegetation index was explored …
[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
What do we know about water scarcity in semi-arid zones? A global analysis and research trends
F Morante-Carballo, N Montalván-Burbano… - Water, 2022 - mdpi.com
Water supply is strategic for the development of society. The water distribution in nature
follows patterns linked to geographic and territorial issues. Climate fluctuations aggravate …
follows patterns linked to geographic and territorial issues. Climate fluctuations aggravate …
[HTML][HTML] Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application
Y Wang, W Shi, T Wen - Agricultural Water Management, 2023 - Elsevier
Accurate prediction of crop yield and dry matter as well as optimized water and nitrogen
management can favor rational decision-making for farming systems. Combining high …
management can favor rational decision-making for farming systems. Combining high …
Soil moisture content retrieval from Landsat 8 data using ensemble learning
Although detailed spatial and temporal distribution of soil moisture is crucial for numerous
applications, current global soil moisture products generally have low spatial resolutions (25 …
applications, current global soil moisture products generally have low spatial resolutions (25 …
Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest …
T Sakamoto - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
Satellite-based remote sensing is a powerful form of technology that can provide food
security policy makers with reliable information. This information allows them to estimate …
security policy makers with reliable information. This information allows them to estimate …
Combining optical, fluorescence, thermal satellite, and environmental data to predict county-level maize yield in China using machine learning approaches
Maize is an extremely important grain crop, and the demand has increased sharply
throughout the world. China contributes nearly one-fifth of the total production alone with its …
throughout the world. China contributes nearly one-fifth of the total production alone with its …