Empowering vertical farming through IoT and AI-Driven technologies: A comprehensive review

AS Rathor, S Choudhury, A Sharma, P Nautiyal… - Heliyon, 2024 - cell.com
The substantial increase in the human population dramatically strains food supplies.
Farmers need healthy soil and natural minerals for traditional farming, and production takes …

A systematic review of deep learning techniques for plant diseases

I Pacal, I Kunduracioglu, MH Alma, M Deveci… - Artificial Intelligence …, 2024 - Springer
Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …

[HTML][HTML] PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction

F Arshad, M Mateen, S Hayat, M Wardah… - Alexandria Engineering …, 2023 - Elsevier
Agricultural productivity plays a vital role in global economic development and growth. When
crops are affected by diseases, it adversely impacts a nation's economic resources and …

Revolutionizing crop disease detection with computational deep learning: a comprehensive review

HN Ngugi, AE Ezugwu, AA Akinyelu… - Environmental Monitoring …, 2024 - Springer
Digital image processing has witnessed a significant transformation, owing to the adoption
of deep learning (DL) algorithms, which have proven to be vastly superior to conventional …

[HTML][HTML] PotatoPestNet: a CTInceptionV3-RS-based neural network for accurate identification of potato pests

MSH Talukder, RB Sulaiman, MR Chowdhury… - Smart Agricultural …, 2023 - Elsevier
Potatoes are the third-largest food crop globally, but their production frequently encounters
difficulties because of aggressive pest infestations. Early classification those potato pests …

A comprehensive review of convolutional neural networks based disease detection strategies in potato agriculture

B Gülmez - Potato Research, 2024 - Springer
This review paper investigates the utilization of Convolutional Neural Networks (CNNs) for
disease detection in potato agriculture, highlighting their pivotal role in efficiently analyzing …

Enhancing sports image data classification in federated learning through genetic algorithm-based optimization of base architecture

DS Fu, J Huang, D Hazra, AK Dwivedi, SK Gupta… - Plos one, 2024 - journals.plos.org
Nowadays, federated learning is one of the most prominent choices for making decisions. A
significant benefit of federated learning is that, unlike deep learning, it is not necessary to …

Optimizing potato disease classification using a metaheuristics algorithm for deep learning: A novel approach for sustainable agriculture

ESM El-Kenawy, AA Alhussan, DS Khafaga… - Potato Research, 2024 - Springer
Potato is a food crop at a global scale, bearing a hefty importance for the food security and
nutrition of millions of people worldwide. Nonetheless, some obstacles have to be overcome …

[HTML][HTML] Deep learning for plant stress detection: A comprehensive review of technologies, challenges, and future directions

N Paul, GC Sunil, D Horvath, X Sun - Computers and Electronics in …, 2025 - Elsevier
Deep learning (DL)-based systems have emerged as powerful methods for the diagnosis
and treatment of plant stress, offering high accuracy and efficiency in analyzing imagery …

High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum

S Einspanier, C Tominello-Ramirez, M Hasler… - Plant …, 2024 - spj.science.org
Besides the well-understood qualitative disease resistance, plants possess a more complex
quantitative form of resistance: quantitative disease resistance (QDR). QDR is commonly …