An approach for crop prediction in agriculture: Integrating genetic algorithms and machine learning
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 …
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
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 …
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
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 …
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 …
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 …
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 …
on food security. Plant diseases are one of the most essential factors affecting food security …
Evolution of IoT in various application domains
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 …
IoT technologies across time, highlighting its effects on smart cities, healthcare, industry, and …
Smart Farming: Enhancing Urban Agriculture through Predictive Analytics and Resource Optimization
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 …
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 …
models to enhance precision agriculture. We collected an extensive IoT secondary dataset …
9 A Survey on Issues in Integrating Blockchain and IoT Technologies
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 …
are not connected to the internet, we face difficulties in making banking transactions …