Application of Artificial Neural Network in Agriculture

With the need for farming to become more efficient and environmentally sustainable to meet the demands of a growing global population, the application of artificial neural networks (ANNs) to inform and enhance agricultural practice and production is gathering momentum and interest. This Reprint titl...

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Bibliographische Detailangaben
Format:	Online
Sprache:	Englisch
Veröffentlicht:	MDPI - Multidisciplinary Digital Publishing Institute 2025
Schlagworte:	animal nutrition egg laying feed costs mathematical model multivariate analysis poultry pest detection GoogLeNet Convolutional Neural Network mobile application convolutional neural network Fusarium wilt transfer learning ResNet-50 banana crop solar dryer thermal analysis electronic instrumentation artificial neural networks feedforward propagation algorithm artificial neural network particle-swarm optimization specific draft specific torque equivalent PTO power rice leaf diseases blast leaf leaf folder brown spot YOLOv8 plant disease tomato machine learning deep learning bean phenology food security San Andreas fertilization model greenhouses Rhodena lettuce diseased macronutrient point clouds rice blast Magnaporthe oryzae weather parameters INGARCHX SVRX ANNX soil analysis reflectance spectra YOLO models image analysis precision agriculture pest identification tiny object recognition multi-stage detection approach edge-based processing feature integration thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online-Zugang:	ONIX_20250812T095121_9783725831227_43
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Application of Artificial Neural Network in Agriculture

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