Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods

D De Clercq, A Mahdi - Computers and Electronics in Agriculture, 2025 - Elsevier
Context: Rice is a critical food source for over half the global population, making yield
forecasting important for food security and agricultural planning. Advances in statistical …

A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection

W Shafik, A Tufail, C Liyanage De Silva… - Scientific Reports, 2025 - nature.com
Plants are essential at all stages of living things. Plant pests, diseases, and symptoms are
most regularly visible in plant leaves and fruits and sometimes within the roots. Yet, their …

A novel early stage drip irrigation system cost estimation model based on management and environmental variables

M Pourgholam-Amiji, K Ahmadaali, A Liaghat - Scientific Reports, 2025 - nature.com
One of the most significant, intricate, and little-discussed aspects of pressurized irrigation is
cost estimation. This study attempts to model the early-stage cost of the drip irrigation system …

[HTML][HTML] An overview of product performance prediction using artificial algorithms

A Taherihajivand, K Shirini… - Agricultural …, 2024 - jam.tabrizu.ac.ir
IntroductionArtificial intelligence (AI) plays an essential role in enhancing productivity,
reducing costs, and improving service delivery across various sectors, especially in …

An efficient plant disease prediction model based on machine learning and deep learning classifiers

N Shinde, A Ambhaikar - Evolutionary Intelligence, 2025 - Springer
Agriculture is the majorsource of the nation's economic growth, but the emergence of certain
plant-related diseases has a negative effect on the sector's production. Diagnosing plant …