Results 71 to 80 of about 37,961 (191)

Gorilla troops optimization with deep learning based crop recommendation and yield prediction

International Journal of Cognitive Computing in Engineering
Agriculture plays a vital role in the Indian economy. Crop recommendation for a specific region is a tedious process as it can be affected by various variables such as soil type and climatic parameters.
A. Punitha, V. Geetha
doaj   +1 more source

Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review [PDF]

Nature Environment and Pollution Technology
Agriculture is the crucial pillar and basic building block of our nation. Agriculture plays a key role as the major source of revenue for our nation. Farming is the primary financial source of India.
V. Ramesh and P. Kumaresan
doaj   +1 more source

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

Environmental Research Letters, 2020
Crop yield estimates over large areas are conventionally made using weather observations, but a comprehensive understanding of the effects of various environmental indicators, observation frequency, and the choice of prediction algorithm remains elusive.
Yanghui Kang, Mutlu Ozdogan, Xiaojin Zhu, Zhiwei Ye, Christopher Hain, Martha Anderson   +5 more
doaj   +1 more source

Crop Yield Prediction and Fertilizer Recommendation

International Journal for Research in Engineering Application & Management, 2020
Agriculture is a major source of the economy of the country. The Prediction of crop yield helps in managing the storage of crops as well as it directs the transportation decisions, and risk management issues related to crops. Food is perhaps the most important aspect of life, without it humankind can’t survive.
openaire   +1 more source

Using gross primary production data and deep transfer learning for crop yield prediction in the US Corn Belt

International Journal of Applied Earth Observations and Geoinformation
Estimating crop yield prior to harvest plays a crucial role in agricultural decision making. Machine learning models that use remote sensing (RS) data can provide quick and early estimates of crop yield.
Shahid Nawaz Khan, Dapeng Li, Maitiniyazi Maimaitijiang   +2 more
doaj   +1 more source

Weather-Based Crop Yield Prediction

International Journal For Multidisciplinary Research
Agriculture plays a critical role in India’s economy, providing livelihoods to millions of people and contributing significantly to the nation’s GDP. In fact, agriculture is able to support 45% of India’s employed labor force. However, Indian farmers face numerous challenges, including unpredictable weather which leads to poor yields, often leading to ...
Dhyey Mehta -, Juyon Lee -
openaire   +1 more source

Selection of Important Features for Optimizing Crop Yield Prediction

International Journal of Agricultural and Environmental Information Systems, 2019
In agriculture, crop yield prediction is critical. Crop yield depends on various features including geographic, climate and biological. This research article discusses five Feature Selection (FS) algorithms namely Sequential Forward FS, Sequential Backward Elimination FS, Correlation based FS, Random Forest Variable Importance and the Variance ...
Maya Gopal P. S., R. Bhargavi
openaire   +2 more sources

Using machine learning for crop yield prediction in the past or the future. [PDF]

Front Plant Sci, 2023
Morales A, Villalobos FJ.
europepmc   +1 more source

Machine Learning Baseline for Crop Yield Prediction

, 2020
Many studies have applied machine learning to crop yield prediction, but they focus on obtaining optimal results for specific case studies. The required data may not be available for other places or the methods may not be transferable to other crops and ...
Paudel, Dilli
core  

County-scale crop yield prediction by integrating crop simulation with machine learning models. [PDF]

Front Plant Sci, 2022
Sajid SS, Shahhosseini M, Huber I, Hu G, Archontoulis SV.   +4 more
europepmc   +1 more source