Research Article

Modelling and Forecasting Fresh Agro-Food Commodity Consumption Per Capita in Malaysia Using Machine Learning

Table 3

Projections of fresh agro-food consumption per capita (kg).

Agro-food2019202020212022202320242025-valTrend

Rice89.893.696.799.9103.3106.9110.30.60.0019

Vegetables
Spinach1.51.61.71.81.81.92.00.80.0001
Lady’s finger1.11.11.11.11.11.11.10.01.0000
Chili2.02.22.42.52.72.93.00.70.0001
Long bean1.51.51.61.61.61.61.6−0.20.4391
Cabbage7.58.18.69.19.610.210.70.50.0039
Celery cabbage7.58.59.310.211.011.812.60.80.0001
Eggplant1.41.61.71.82.02.12.20.70.0001
Cucumber3.13.53.84.04.34.64.90.80.0001
Tomato3.63.43.33.23.13.02.9−0.30.1140

Livestock
Chicken and duck47.447.647.747.847.948.148.20.40.0217
Pork18.017.717.517.216.916.616.4−0.80.0001
Beef and buffalo meat5.85.96.16.26.36.46.60.80.0001
Lamb1.01.01.01.00.90.90.9−0.10.6830
Chicken and duck egg18.918.618.418.217.917.717.4−0.20.4170

Fisheries
Crab0.40.40.40.40.40.40.40.10.8430
Mackerel6.76.56.36.26.05.85.6−0.80.0001
Squid2.62.82.93.13.23.43.60.70.0001
Tuna2.93.23.33.53.73.84.00.80.0001
Prawn4.44.54.54.64.64.64.70.20.3411

Fruits
Star fruit0.30.30.40.40.50.50.50.70.0005
Papaya0.60.20.00.00.00.00.0−0.60.0015
Jackfruit1.71.71.81.81.81.81.80.50.0098
Durian11.011.612.112.613.113.714.20.60.0019
Sweet corn2.42.72.93.23.43.73.90.70.0001
Guava1.11.00.80.70.60.40.3−0.40.0301
Coconut19.420.120.721.422.122.823.60.70.0003
Mango1.91.91.91.91.91.91.90.10.8024
Mangosteen0.70.60.60.60.60.50.5−0.70.0002
Pineapple6.96.05.34.63.83.02.2−0.70.0002
Banana9.08.78.58.38.17.97.8−0.70.0002
Rambutan1.91.91.91.81.81.81.7−0.80.0001
Watermelon4.34.24.24.14.14.04.0−0.40.0214

: there is a significant positive trend, : there is a significant negative trend, and : there is no significant trend.