Prediction of rice yield in East China based on climate and agronomic traits data using artificial neural networks and partial least squares regression

Y Guo, H Xiang, Z Li, F Ma, C Du - Agronomy, 2021 - mdpi.com
Rice yield is not only influenced by factors of varieties and managements, but also by
environmental factors. In this study, agronomic trait data of rice and climate data in eastern …

Detection of plant leaf disease using advanced deep learning architectures

R Sharma, M Mittal, V Gupta, D Vasdev - International Journal of …, 2024 - Springer
Food is the basic necessity for human survival and plant diseases act as a critical hindrance
to the quality of harvested crops. Timely identification and administration of plant diseases …

Weather based paddy yield prediction using machine learning regression algorithms

D Sakthipriya, T Chandrakumar - Journal of …, 2024 - journal.agrimetassociation.org
Paddy is a major crop in India which is highly affected by the weather variables resulting in
drastic reduction of its yield; adverse all the variables drastically reduce the paddy yield. In …

Forecasting rice yield through modified Hendrick and Scholl technique in the Brahmaputra valley of Assam

S Chutia, RL Deka, J Goswami… - Journal of …, 2021 - journal.agrimetassociation.org
District level rice yield forecast models were developed for 13 districts of the Brahmaputra
valley of Assam using yield data and weekly weather data during 1990-2012 at vegetative …

Predictive modeling of pan evaporation using random forest algorithm along with features selection

A Singh, M Mittal, A Kumar - 2020 10th International …, 2020 - ieeexplore.ieee.org
Random Forest is a learning method that can be used for classification and regression
problems; it operates by constructing decision trees at training time and output the predicted …

Evaporation Prediction for an Efficient Irrigation Cycle

MN Hoda - … 10th International Conference on Computing for …, 2023 - ieeexplore.ieee.org
One of the reasons agricultural unpredictability is so detrimental is that people don't know
what to expect for the future growing season. Because they are unprepared for the weather …

Rice yield prediction using hybrid PSACO algorithm based on back-propagation neural network

A Singh, M Mittal - Journal of Agrometeorology, 2022 - journal.agrimetassociation.org
Understanding the importance of yield prediction in precision farming alarm the farmers
about the future scenario and thereby prepare them to take necessary action to save the …

[PDF][PDF] Weather based yield prediction model at various growth stages of wheat crop in different agro Climatic Zones of Jammu region

M Singh, C Sharma, BC Sharma, V Vikas… - JOURNAL OF …, 2020 - researchgate.net
Long term seed yield and weather data during growing period of wheat crop from 1991 to
2012 was collected from different offices or agencies for development of the district level …