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 …

Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest

DM Rodrigues, PC Coradi, NS Timm, M Fornari… - Agriculture, 2024 - mdpi.com
In recent years, agricultural remote sensing technology has made great progress. The
availability of sensors capable of detecting electromagnetic energy and/or heat emitted by …

ML based sustainable precision agriculture: A future generation perspective

R Priya, D Ramesh - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Agriculture is an essential source of survival and also accounts for the economic growth of
any country. Rapid advancement in precision agriculture has helped agriculture and its …

[图书][B] Decision Support System: Tools and Techniques

S Bandyopadhyay - 2023 - taylorfrancis.com
This book presents different tools and techniques used for Decision Support Systems (DSS),
including decision tree and table, and their modifications, multi-criteria decision analysis …

Internet of things and machine learning applications for smart precision agriculture

R Sivakumar, B Prabadevi, G Velvizhi… - IoT Appl …, 2022 - books.google.com
Agriculture forms the major part of our Indian economy. In the current world, agriculture and
irrigation are the essential and foremost sectors. It is a mandatory need to apply information …

Rethinking the role of grain banks in China's agriculture

T Li, D Zhou, A Razzaq, Q Wang - Agriculture, 2021 - mdpi.com
Grain banks are an organizational innovation and unique phenomenon in China that help
reduce food losses and food security costs. It collects scattered food from the farming …

Machine learning algorithms to predict the dry matter loss of stored soybean grains (Glycine max L.)

JS Zeymer, F Guzzo, MEV de Araujo… - Journal of Food …, 2021 - Wiley Online Library
Predictive modeling is useful to estimate future events based on collected data and
discipline‐specific knowledge to guide decision making. Machine learning is one of the most …

Research on structural parameters and kinematic properties of a drill-in granary grain condition detector

Q Yin, J Yu, S Song, Y Zhang, G Zhao… - Mechanical …, 2022 - ms.copernicus.org
In order to realize the real-time monitoring of the grain condition, grain condition information
should be collected during storage operations. A drill-in granary grain condition detector …

Integrating Self-Attention Mechanisms and ResNet for Grain Storage Ventilation Decision Making: A Study

Y Zhu, H Li, T Zhen, Z Li - Applied Sciences, 2023 - mdpi.com
Food security is a widely discussed topic globally. The key to ensuring the safety of food
storage is to control temperature and humidity, with ventilation being an effective and fast …

Price decline, land rental markets and grain production in the North China Plain

Q Wang, F Li, J Yu, L Fleskens… - China Agricultural …, 2021 - emerald.com
Purpose This study examines the heterogeneous correlations between rural farmers' land
renting behavior and their grain production when they experienced a significant price …