Results 101 to 110 of about 163,439 (186)

A knowledge-informed fusion network for process-aware crop yield prediction

International Journal of Applied Earth Observations and Geoinformation
Crop yield prediction is crucial for food security and agricultural decision-making. Conventional approaches struggle to reconcile the heavy parameter reliance of process-based models with the extensive label dependencies of data-driven models.
Ruixin Fang, Lei Yu, Nan Xie, Kexin Wang, Keyi Rao, Liheng Zhong, Jingdong Chen, Zhaocong Wu   +7 more
doaj   +1 more source

An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms. [PDF]

F1000Res, 2021
Anbananthen KSM, Subbiah S, Chelliah D, Sivakumar P, Somasundaram V, Velshankar KH, Khan MKAA.   +6 more
europepmc   +1 more source

Optimal Timing of Carrot Crop Monitoring and Yield Assessment Using Sentinel-2 Images: A Machine-Learning Approach

Applied Sciences
Remotely sensed images provide effective sources for monitoring crop growth and the early prediction of crop productivity. To monitor carrot crop growth and yield estimation, three 27 ha center-pivot irrigated fields were studied to develop yield ...
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Mohamed K. Edrris, Haroon F. Edrees, Ahmed A. Alameen   +5 more
doaj   +1 more source

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt. [PDF]

Sci Rep, 2021
Shahhosseini M, Hu G, Huber I, Archontoulis SV.   +3 more
europepmc   +1 more source

Crop Yield Prediction Using MachineLearning Algorithms

international journal of engineering technology and management sciences
We all know that India has the second-highest population and that the vast majority of its citizenswork in agriculture. Farmers are spreading fertilizer in haphazard amounts without understandingthe deficient composition or quantity, and they are planting the same crops over and over againwithout trying other varieties.
null Shaik Mohammed Rizwan, null K.Kumara Swamy   +1 more
openaire   +1 more source

Use of soil moisture information in yield models [PDF]

There are no author-identified significant results in this ...
Feyerherm, A., Hanks, J., Kanemasu, E., Keener, M., Lawlor, D., Rasmussen, P., Reetz, H., Saxton, K., Wiegand, C. L.   +8 more
core   +1 more source

Forecasts of winter wheat yield and production using LANDSAT data [PDF]

There are no author-identified significant results in this ...
Colwell, J. E., Nalepka, R. F., Rice, D. P.   +2 more
core   +1 more source

Location Based Crop Yield Prediction

International Research Journal of Modernization in Engineering Technology and Science, 2023
openaire   +1 more source

Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models

Scientific Reports
Crop health assessment and early yield predictions are highly crucial under biotic stress conditions for crop management and market planning by farmers and policy planners.
RN Singh, P. Krishnan, C. Bharadwaj, Sonam Sah, B. Das   +4 more
doaj   +1 more source

Time-varying Yield Distributions and the U.S. Crop Insurance Program [PDF]

The objective of this study is to evaluate and model the yield risk associated with major agricultural commodities in the U.S. We are particularly concerned with the nonstationary nature of the yield distribution, which primarily arises because of ...
Ghosh, Sujit K., Goodwin, Barry K., Zhu, Ying   +2 more
core   +1 more source