ʻO ka pulupulu ma ke ʻano he mea waiwai nui a me ka ʻoihana lole lole pulupulu, me ka hoʻonui ʻana i nā wahi ākea, ka pulupulu, ka palaoa a me ka aila hua ʻai i ka pilikia hoʻokūkū ʻāina a ʻoi aku ka koʻikoʻi, hiki i ka hoʻohana ʻana i ka pulupulu a me ka intercropping palaoa ke hoʻohaʻahaʻa pono i ka kūʻē ʻana ma waena o ka mahi ʻana i ka pulupulu a me nā mea kanu palaoa, hiki ke hoʻomaikaʻi i ka huahana o ka mea kanu a me ka pale o ka ecological. No laila, he mea koʻikoʻi ke nānā wikiwiki a pololei i ka ulu ʻana o ka pulupulu ma lalo o ke ʻano intercropping.
Ua loaʻa nā kiʻi multi-spectral a ʻike ʻia o ka pulupulu i ʻekolu mau pae momona e UAV-mounted multi-spectral a me RGB sensors, kā lākou spectral a me nā hiʻohiʻona kiʻi i unuhi ʻia, a hui pū ʻia me ke kiʻekiʻe o nā mea kanu pulupulu ma ka ʻāina, ua manaʻo ʻia ka SPAD o ka pulupulu ma ke koho ʻana i ka regression integrated learning (VRE) a hoʻohālikelike ʻia me ʻekolu mau hiʻohiʻona, ʻo ia hoʻi, Random Forest Regression (RGB) Mīkini Regression (SVR). . Ua loiloi mākou i ka pololei o ka helu ʻana o nā kumu hoʻohālike like ʻole ma ka pili o ka chlorophyll o ka pulupulu, a ua kālailai i nā hopena o nā lakene like ʻole o ka intercropping ma waena o ka pulupulu a me ka soybean i ka ulu ʻana o ka pulupulu, i mea e hāʻawi ai i kumu no ke koho ʻana i ka lakio o ka intercropping ma waena o ka pulupulu a me ka soybean a me ka helu kiʻekiʻe o ka pulupulu SPAD.
Hoʻohālikelike ʻia me nā hiʻohiʻona RFR, GBR, a me SVR, ua hōʻike ke kumu hoʻohālike VRE i nā hopena koho maikaʻi loa i ka koho ʻana i ka pulupulu SPAD. Ma muli o ke kumu hoʻohālike VRE, ʻo ke kŘkohu me nā hiʻohiʻona kiʻi multispectral, nā hiʻohiʻona kiʻi ʻike ʻia, a me ka hui ʻana o ke kiʻekiʻe o nā mea kanu i loaʻa ka pololei kiʻekiʻe loa me ka hoʻonohonoho hoʻāʻo R2, RMSE, a me RPD o 0.916, 1.481, a me 3.53.
Ua hōʻike ʻia ʻo ka hui pū ʻana o ka ʻikepili i hui pū ʻia me ka algorithm regression integration algorithm e hāʻawi i kahi ala hou a maikaʻi no ka helu SPAD i ka pulupulu.
Ka manawa hoʻouna: Dec-03-2024