[HTML][HTML] Mixing process-based and data-driven approaches in yield prediction
Yield prediction models can be divided between data-driven and process-based models
(crop growth models). The first category contains many different types of models with …
(crop growth models). The first category contains many different types of models with …
A novel approach for efficient crop yield prediction
Crop yield prediction is one of the challenging task in agricultural domain. Extensive
research in agricultural domain has been carried out to predict better crop yield using the …
research in agricultural domain has been carried out to predict better crop yield using the …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
An approach for prediction of crop yield using machine learning and big data techniques
K Palanivel, C Surianarayanan - International Journal of Computer …, 2019 - papers.ssrn.com
Agriculture is the primary source of livelihood which forms the backbone of our country.
Current challenges of water shortages, uncontrolled cost due to demand-supply, and …
Current challenges of water shortages, uncontrolled cost due to demand-supply, and …
Yield responses to planting density for US modern corn hybrids: A synthesis‐analysis
Identifying an optimal plant density is a critical management decision for corn (Zea mays L.)
production. The main objectives of this study were to:(i) investigate the grain yield responses …
production. The main objectives of this study were to:(i) investigate the grain yield responses …
Drought forecasting by ANN, ANFIS, and SVM and comparison of the models
M Mokhtarzad, F Eskandari, N Jamshidi Vanjani… - Environmental earth …, 2017 - Springer
Drought is a natural disaster that causes significant impact on all parts of environment and
cause to reduction of the agricultural products. Other natural phenomena, for instance …
cause to reduction of the agricultural products. Other natural phenomena, for instance …
Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques
Crop yield and its prediction are crucial in agricultural production planning. This study
investigates and predicts arabica coffee yield in order to match the market demand, using …
investigates and predicts arabica coffee yield in order to match the market demand, using …
Application of artificial neural network for predicting maize production in South Africa
The use of crop modeling as a decision tool by farmers and other decision-makers in the
agricultural sector to improve production efficiency has been on the increase. In this study …
agricultural sector to improve production efficiency has been on the increase. In this study …
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Inadequate agricultural planning compounded by inaccurate predictions results in an
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
A hybrid machine learning approach for estimating the water-use efficiency and yield in agriculture
H Dehghanisanij, H Emami, S Emami… - Scientific Reports, 2022 - nature.com
This paper introduces the narrow strip irrigation (NSI) method and aims to estimate water-
use efficiency (WUE) and yield in apple orchards under NSI in the Miandoab region located …
use efficiency (WUE) and yield in apple orchards under NSI in the Miandoab region located …