[HTML][HTML] Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning

MSH Talukder, AK Sarkar - Smart Agricultural Technology, 2023 - Elsevier
Rice is one of the most extensively cultivated food crops on the planet, especially in
Bangladesh, China, and India. However, rice production is frequently hampered by nutrient …

Ensemble averaging of transfer learning models for identification of nutritional deficiency in rice plant

M Sharma, K Nath, RK Sharma, CJ Kumar… - Electronics, 2022 - mdpi.com
Computer vision-based automation has become popular in detecting and monitoring plants'
nutrient deficiencies in recent times. The predictive model developed by various researchers …

[HTML][HTML] Deep learning-based object detection system for identifying weeds using uas imagery

A Etienne, A Ahmad, V Aggarwal, D Saraswat - Remote Sensing, 2021 - mdpi.com
Current methods of broadcast herbicide application cause a negative environmental and
economic impact. Computer vision methods, specifically those related to object detection …

[HTML][HTML] Feature aggregation for nutrient deficiency identification in chili based on machine learning

D Rahadiyan, S Hartati, AP Nugroho - Artificial Intelligence in Agriculture, 2023 - Elsevier
Macronutrient deficiency inhibits the growth and development of chili plants. One of the non-
destructive methods that plays a role in processing plant image data based on specific …

Diagnosis visual masalah unsur hara esensial pada berbagai jenis tanaman

D Armita, W Wahdaniyah… - Teknosains: Media …, 2022 - journal3.uin-alauddin.ac.id
Essential nutrients are chemical elements needed by plants to support their growth and
development. Essential nutrients based on the level of plant needs are divided into three …

[PDF][PDF] Convolutional Neural Network Based Nutrient Deficiency Classification in Leaves of Elaeis guineensis Jacq

N Srisook, O Tuntoolavest… - … Journal of Computer …, 2022 - cspub-ijcisim.org
Nutrient deficiency is one of the main causes of the decline in oil palm production. In fact, oil
palm farmers cannot diagnose the symptoms of the nutrient deficiency by themselves …

Rose diseases recognition using MobileNet

A Rajbongshi, T Sarker, MM Ahamad… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Plants always prove a great assessment of human life for many years in many sectors.
Nowadays plant diseases are affecting our agricultural sector very badly. As a result, farmers …

FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow …

Y Song, L Liu, Y Rao, X Zhang, X Jin - Sensors, 2023 - mdpi.com
Accurate diagnosis of pear tree nutrient deficiency symptoms is vital for the timely adoption
of fertilization and treatment. This study proposes a novel method on the fused feature multi …

Exploiting pre-trained convolutional neural networks for the detection of nutrient deficiencies in hydroponic basil

Z Gul, S Bora - Sensors, 2023 - mdpi.com
Due to the integration of artificial intelligence with sensors and devices utilized by Internet of
Things technology, the interest in automation systems has increased. One of the common …

Determining spatiotemporal distribution of macronutrients in a cornfield using remote sensing and a deep learning model

M Jaihuni, F Khan, D Lee, JK Basak, A Bhujel… - IEEE …, 2021 - ieeexplore.ieee.org
Fertilizer misapplications have induced widespread environmental deteriorations, climatic
catastrophes, and economic losses; meanwhile, the Precision Agriculture (PA) …