activity
20192022
most citedCrop Yield Prediction Using Deep Neural Networks

852 citations · 1.9k across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2022

Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units

Javad Ansarifar, Faezeh Akhavizadegan, Lizhi Wang

Producing higher-quality crops within shortened breeding cycles ensures global food availability and security, but this improvement intensifies logistical and productivity challeng…

cs.LG2020★ 54 cited

Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach

Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang

Experimental corn hybrids are created in plant breeding programs by crossing two parents, so-called inbred and tester, together. Identification of best parent combinations for cros…

cs.LG2019★ 612 cited

A CNN-RNN Framework for Crop Yield Prediction

Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis

Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.…

cs.LG2019★ 32 cited

Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach

Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang

Environmental stresses such as drought and heat can cause substantial yield loss in agriculture. As such, hybrid crops that are tolerant to drought and heat stress would produce mo…

cs.LG2019★ 852 cited

Crop Yield Prediction Using Deep Neural Networks

Saeed Khaki, Lizhi Wang

Crop yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions. Accurate yield prediction requires fundamental understand…