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Table 6 Plant-specific evaluation of mixture biomasses (SW/FB) assessed by MAE and ME in the unit t ha\(^{-1}\) given for all (OA) and mixture (Mix) fields. Each row represents a distinct image generation model trained on a varying combination of conditions time (t), treatment (trt), and simulated biomass (bm); for testing, only the input image and t are varied. Overall fields, MAE is reported for generations with different \(|\Delta t|\) filters: \(\text {T}_0\): identity \(|\Delta t|=0\); ST: short-term \(1\le |\Delta t|\le 10\); LT: long-term \(|\Delta t|\ge 11\)

From: Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks

 

Train

 

OA

OA

Mix

Mix

conds.

MAE

ME

MAE

ME

t trt bm

\(\text {T}_0\)

ST

LT

ø

ø

ø

ø

Mixed-CKA

\(\checkmark\)  \(\times\)  \(\times\)

SW

0.22

0.42

0.39

0.38

0.12

0.31

0.20

FB

0.16

0.34

0.30

0.28

− 0.12

0.25

− 0.17

Mixed-CKA

\(\checkmark\)  \(\checkmark\)  \(\times\)

SW

0.30

0.22

0.25

0.24

0.09

0.25

0.15

FB

0.24

0.16

0.19

0.19

− 0.13

0.24

− 0.15

Mixed-CKA

\(\checkmark\)  \(\checkmark\)  \(\checkmark\)

SW

0.17

0.21

0.18

0.18

− 0.02

0.18

0.05

FB

0.11

0.16

0.14

0.13

− 0.01

0.15

− 0.04

Mixed-WG\(^{1}\)

\(\checkmark\)  \(\times\)  \(\times\)

SW

0.45

1.25

1.14

1.07

0.18

1.06

0.24

FB

0.41

0.48

0.67

0.64

− 0.04

0.62

− 0.11

  1. \(^{1}\) Transferability check: Model trained on Mixed-CKA and applied to Mixed-WG