Results 11 to 20 of about 37,961 (191)

Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review [PDF]

Remote Sensing, 2023
Reliable and timely crop-yield prediction and crop mapping are crucial for food security and decision making in the food industry and in agro-environmental management.
Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, Subrata Chakraborty   +3 more
doaj   +4 more sources

Progress in Research on Deep Learning-Based Crop Yield Prediction

Agronomy
In recent years, crop yield prediction has become a research hotspot in the field of agricultural science, playing a decisive role in the economic development of every country.
Yuhan Wang, Qian Zhang, Feng Yu, Na Zhang, Xining Zhang, Yuchen Li, Ming Wang, Jinmeng Zhang   +7 more
doaj   +4 more sources

Fuzzy Inference Systems for Crop Yield Prediction [PDF]

Journal of Intelligent Systems, 2012
Prediction of crop yield is significant in order to accurately meet market requirements and proper administration of agricultural activities directed towards enhancement in yield.
Jayaram M. A., Marad Netra
doaj   +2 more sources

Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region [PDF]

The Scientific World Journal
Crop yield prediction is a critical aspect of agricultural planning and resource allocation, with outlier detection algorithms playing a vital role in refining the accuracy of predictive models.
C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh   +3 more
doaj   +2 more sources

Crop yield prediction integrating genotype and weather variables using deep learning. [PDF]

PLoS One, 2021
Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production ...
Shook J, Gangopadhyay T, Wu L, Ganapathysubramanian B, Sarkar S, Singh AK.   +5 more
europepmc   +4 more sources

A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning [PDF]

Plants, 2022
Dania Batool, Kamran Shaukat, Talha Mahboob Alam   +2 more
exaly   +2 more sources

An explainable Bi-LSTM model for winter wheat yield prediction [PDF]

Frontiers in Plant Science
Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and management.
Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee   +7 more
doaj   +2 more sources

A Survey on Deep Learning Based Crop Yield Prediction [PDF]

Nature Environment and Pollution Technology, 2023
Agriculture is the most important sector and the backbone of a developing country’s economy. Accurate crop yield prediction models can provide decision-making tools for farmers to make better decisions.
S. Archana and P. Senthil Kumar
doaj   +1 more source

Advancements in remote sensing based crop yield modelling in India

Journal of Agrometeorology, 2023
Crop yield prediction at regional levels is an essential task for the decision-makers for rapid decision making. Pre-harvest prediction of a crop yield can prevent a disastrous situation and help decision-makers to apply more reliable and accurate ...
N. R. PATEL, SHWETA POKHARIYAL, R. P. SINGH   +2 more
doaj   +1 more source

Crop Yield Prediction

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021
Cotton, popularly known as White Gold has been an important commercial crop of National significance due to the immense influence of its rural economy. Transfer of technology to identify the quality of fibre is gaining importance for crop yield is compared with Random forest, Support Vector Machine, Weather, K Nearest neighbor.
Pallavi Shankarrao Mahore, Dr. Aashish A. Bardekar   +1 more
openaire   +1 more source