Financing sustainable agriculture in sub-saharan africa: a review of the role of financial technologies
African agriculture needs to adapt to climate change and shift from unsustainable production
practices to sustainable ones. This requires innovative, substantial, and long-term …
practices to sustainable ones. This requires innovative, substantial, and long-term …
[HTML][HTML] How could Artificial Intelligence be used to increase the potential of biorefineries in the near future? A review
Innovation in digitalization and low-carbon technologies are leading the way for the
production sector. In the context of the bioeconomy, a path is opening up for the integration …
production sector. In the context of the bioeconomy, a path is opening up for the integration …
[HTML][HTML] Rice yield forecasting using hybrid quantum deep learning model
In recent advancements in agricultural technology, quantum mechanics and deep learning
integration have shown promising potential to revolutionize rice yield forecasting methods …
integration have shown promising potential to revolutionize rice yield forecasting methods …
Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …
monetization and asset exchange with clients constantly seeking improved alternatives at …
Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
Rice is one of the most widely consumed foods all over the world. Various diseases and
deficiency disorders impact the rice crop's growth, thereby hampering the rice yield …
deficiency disorders impact the rice crop's growth, thereby hampering the rice yield …
Pilot study on enhanced detection of cues over malicious sites using data balancing on the random forest ensemble
The digital revolution frontiers have rippled across society today–with various web content
shared online for users as they seek to promote monetization and asset exchange, with …
shared online for users as they seek to promote monetization and asset exchange, with …
A critical review on hybrid framework for precise farming with application of Machine Learning (ML) and Internet of Things (IoT)
Precise Farming, commonly referred to as site-specific crop management, is the use of
technology to increase agricultural output and efficiency. Due to the availability of real-time …
technology to increase agricultural output and efficiency. Due to the availability of real-time …
Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment
In agriculture, soil is a vital element that decides the quality and yield of agricultural produce.
Soil consists of various nutrients such as nitrogen (N), phosphorous (P), potassium (K), the …
Soil consists of various nutrients such as nitrogen (N), phosphorous (P), potassium (K), the …
Cap-DiBiL: an automated model for crop water requirement prediction and suitable crop recommendation in agriculture
RK Munaganuri, YN Rao - Environmental Research …, 2023 - iopscience.iop.org
In this technological era, several approaches used to provide the information about suitable
crop recommendation means which is crop is suitable for soil. Some of approaches depends …
crop recommendation means which is crop is suitable for soil. Some of approaches depends …
UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area
OB Andrade, AAA Montenegro, MA Silva Neto… - AgriEngineering, 2024 - mdpi.com
Precision agriculture requires accurate methods for classifying crops and soil cover in
agricultural production areas. The study aims to evaluate three machine learning-based …
agricultural production areas. The study aims to evaluate three machine learning-based …