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Found 3 papers, 2 papers with code
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection
This dataset included details on 5, 838 distinct genotypes and daily weather data for a 214-day growing season, enabling comprehensive analysis.
Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach
In the 2020 Syngenta Crop Challenge, Syngenta released several large datasets that recorded the historical yield performances of around 4% of total cross combinations of 593 inbreds with 496 testers which were planted in 280 locations between 2016 and 2018 and asked participants to predict the yield performance of cross combinations of inbreds and testers that have not been planted based on the historical yield data collected from crossing other inbreds and testers.
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach
Environmental stresses such as drought and heat can cause substantial yield loss in agriculture.
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