[HTML][HTML] Nutritional Monitoring of Rhodena Lettuce via Neural Networks and Point Cloud Analysis

A Ramírez-Pedraza, S Salazar-Colores, J Terven… - AgriEngineering, 2024 - mdpi.com
In traditional farming, fertilizers are often used without precision, resulting in unnecessary
expenses and potential damage to the environment. This study introduces a new method for …

Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting

A Kempelis, A Romanovs… - 2024 IEEE 11th Workshop …, 2024 - ieeexplore.ieee.org
The advances in computer vision methods in agriculture continue to gain attention due to
safe non-invasive approach to estimate plant well-being in agricultural food production …

Detecting Plant Diseases at Scale: A Distributed CNN Approach with PySpark and Hadoop

V Sharma, S Kannan, S Tanya, N Panda - Procedia Computer Science, 2024 - Elsevier
In modern agriculture, detecting and diagnosing plant diseases are pivotal for crop health
and yield optimization. This transformative initiative leverages cutting-edge technology to …

Mechatronics Design and Flight Simulation of Hexacopter Aerial Robot Coupled with Visual Detection System for Crop Diseases

KA Paucar, EMG Ruiz, R Palomares… - 2024 5th International …, 2024 - ieeexplore.ieee.org
The National Institute of Statistics and Informatics-INEI in the year 2021 indicated that the
agricultural sector experienced a growth of 6.21%, with alfalfa production being one of the …

Enchancing Crop Productivity through Early Plant Disease Identification

D Goel, G Chauhan, A Singh… - 2024 International …, 2024 - ieeexplore.ieee.org
As the agricultural nation, India's GDP is mostly derived from agriculture (about 64%), with
other industries following. Our economy's foundation is agriculture. As such, the primary …

Greenguard: CNN-based system for Intelligent Plant Disease Classification

SS Sultana, S Shareefunnisa… - … on Inventive Systems …, 2024 - ieeexplore.ieee.org
Plant diseases significantly impact agricultural output, yet traditional detection methods are
costly, time-consuming, and inaccurate. This study proposes a more efficient disease …

Deep Learning Applications in Plant Disease Detection: A Comparative Study

A Aryan, S Bilgaiyan, M Bhardwaj - … on Advancements in Smart …, 2024 - ieeexplore.ieee.org
Plant diseases cause significant crop damage, leading to economic losses for farmers and
food shortages. Traditional disease detection methods are often inefficient, expensive, and …

Classification of Disease in Potato Leaves using Deep Learning Approach

VB Prakash, D Shirisha, GS Reddy… - 2024 International …, 2024 - ieeexplore.ieee.org
Agriculture is the backbone for every country in the world. and Farmers are the ones who
predominantly take care of the crops and fields. In the present paper, we mainly focus on the …

Chilli Leaf Disease Identification Using Histrogram Equalisation Technique

S Bhairannawar, K Hosur, S Bilagi… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Sustainable agriculture depends on disease diagnosis and plant monitoring. However, it
requires to necessitate prompt and precise diagnosis. Plant diseases are challenging to …