[HTML][HTML] Mixing process-based and data-driven approaches in yield prediction

B Maestrini, G Mimić, PAJ van Oort, K Jindo… - European Journal of …, 2022 - Elsevier
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 …

A novel approach for efficient crop yield prediction

PSM Gopal, R Bhargavi - Computers and Electronics in Agriculture, 2019 - Elsevier
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 …

Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data

P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
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 …

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 …

Yield responses to planting density for US modern corn hybrids: A synthesis‐analysis

Y Assefa, PV Vara Prasad, P Carter, M Hinds… - Crop …, 2016 - Wiley Online Library
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 …

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 …

Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques

Y Kittichotsatsawat, N Tippayawong… - Scientific Reports, 2022 - nature.com
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 …

Application of artificial neural network for predicting maize production in South Africa

OM Adisa, JO Botai, AM Adeola, A Hassen, CM Botai… - Sustainability, 2019 - mdpi.com
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 …

Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

M Ali, RC Deo, Y Xiang, R Prasad, J Li, A Farooque… - Scientific Reports, 2022 - nature.com
Inadequate agricultural planning compounded by inaccurate predictions results in an
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 …