An approach for crop prediction in agriculture: Integrating genetic algorithms and machine learning

T Mahmud, N Datta, R Chakma, UK Das, MT Aziz… - IEEE …, 2024 - ieeexplore.ieee.org
Objectives: The agricultural sector in many South Asian countries, including Bangladesh
and India, plays a pivotal role in the economy, with a significant portion of the population …

[HTML][HTML] Towards sustainable agriculture: Harnessing AI for global food security

DK Pandey, R Mishra - Artificial Intelligence in Agriculture, 2024 - Elsevier
The issue of food security continues to be a prominent global concern, affecting a significant
number of individuals who experience the adverse effects of hunger and malnutrition. The …

Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem

N Agrawal, H Govil, T Kumar - Environment, Development and …, 2024 - Springer
Agricultural land evaluation for crop cultivation plays a vital role in develo** a sustainable
and productive agricultural system. The traditional way of manual land evaluation is time …

Prediksi Hasil Panen Tanaman Pangan Sumatera dengan Metode Machine Learning

BA Putra, H Mukhtar, Y Ramanda… - Journal of Software …, 2025 - ejurnal.umri.ac.id
Dalam konteks pertanian modern, akurasi prediksi hasil panen merupakan aspek penting
untuk perencanaan dan pengelolaan sumber daya. Penelitian ini bertujuan untuk …

Blockchain Technology: Applications and Challenges

P Verma, R Srivastava, S Kumar - Blockchain for IoT Systems, 2025 - taylorfrancis.com
Blockchain technology has a promising future in a number of industries and enterprises.
Formerly connected to virtual currency like Bitcoin, blockchain has evolved into a versatile …

Intelligent leaf disease diagnosis: image algorithms using Swin Transformer and federated learning

H Zhang, G Ren - The Visual Computer, 2024 - Springer
In recent years, the international population has surged which has led to increased pressure
on food security. Plant diseases are one of the most essential factors affecting food security …

Evolution of IoT in various application domains

V Sridhar, S Rani, PK Pareek… - Blockchain for IoT …, 2024 - taylorfrancis.com
The Internet of Things (IoT) has advanced across many industries. It follows the evolution of
IoT technologies across time, highlighting its effects on smart cities, healthcare, industry, and …

Smart Farming: Enhancing Urban Agriculture through Predictive Analytics and Resource Optimization

EA Aldhahri, AA Almazroi, MH Alkinani, N Ayub… - IEEE …, 2025 - ieeexplore.ieee.org
Optimal agricultural methods need precise crop health and ecological strain monitoring. This
study proposes a novel data science strategy to improve crop health prediction and stress …

Integrated Iot Approaches for Crop Recommendation and Yield-Prediction Using Machine-Learning.

M Bouni, B Hssina, K Douzi… - Internet of Things (IoT), 2024 - search.ebscohost.com
In this study, we present an integrated approach utilizing IoT data and machine learning
models to enhance precision agriculture. We collected an extensive IoT secondary dataset …

9 A Survey on Issues in Integrating Blockchain and IoT Technologies

BB Pannyagol, SL Deshpande - Blockchain for IoT Systems …, 2024 - books.google.com
Today, the most fundamental resource after food and shelter is probably the internet. If we
are not connected to the internet, we face difficulties in making banking transactions …