J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
… of precisionagriculture with UAV RS and edge intelligence is … UAVs are widely used in precisionagriculture; (b) sensors … UAV dataset for intelligentprecisionagriculture, mainly from …
… of machine learning, artificial intelligence, and sensors in agriculture, are all detailed. In … intelligence (AI) and highlight existing and emerging research problems in AI in agriculture …
… Data analysis, and artificial intelligence (AI), could … Precisionagriculture (PA) entails the application of a suite of such technologies to optimize agricultural inputs to increase agricultural …
… Assessment of artificial intelligence techniques in precisionagriculture is outlined along with its statistical and performance analysis. • Comparison of performance parameters of …
… in the scope of precisionagriculture and, in particular, modeling of the plant growth dynamics. Since the idea behind the precisionagriculture is to ensure intelligent, distributed, and …
… (AI) has been evident in the agricultural sector recently. … agriculture is its flexibility, high performance, accuracy, and cost-effectiveness. This paper presents a review of the applications …
DI Patrício, R Rieder - Computers and electronics in agriculture, 2018 - Elsevier
… combined with artificial intelligence algorithms that achieved … of computer vision in precision agriculture for the production … Unit) and advanced artificial intelligence techniques, such as …
… Precisionagriculture is a modern practice used to enhance … , IoT, cloud computing, Artificial Intelligence (AI) and Machine … development of modern applications for smart agriculture. A …
… Abstract: Precisionagriculture enables the recent technological advancements in farming … The recent developments of computer vision and artificial intelligence (AI) techniques find a …