Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

By I. Ahmad, Umer Saeed, M. Fahad, A. Ullah, M. Habib ur Rahman, Ashfaq Ahmad, J. Judge. Journal of the Indian Society of Remote Sensing, 2018

81 citations recorded by the source corpus.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/438d24e2a0c3e7bf24ebdfe880a723b321ba32c3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Dionysis D. Bochtis

In Plant Science

1. Dionysis D. Bochtis
2. Aristotelis C. Tagarakis

Citations in the corpus

• Machine Learning in Agriculture: A Comprehensive Updated Review (2021, background): “[108] Maize Crop data—CERES model, satellite spectral data Forecasting spring maize yield from Landsat-8 images SVM, RF, DT, LDA, KNN RS: SVM: Acc = 97%, RMSE = 397 kgha−1”