Results 21 to 30 of about 37,961 (191)

Improving grain yield prediction through fusion of multi-temporal spectral features and agronomic trait parameters derived from UAV imagery

Frontiers in Plant Science, 2023
Rapid and accurate prediction of crop yield is particularly important for ensuring national and regional food security and guiding the formulation of agricultural and rural development plans. Due to unmanned aerial vehicles’ ultra-high spatial resolution,
Hongkui Zhou, Jianhua Yang, Weidong Lou, Li Sheng, Dong Li, Hao Hu   +5 more
doaj   +1 more source

Predicting Maize Yield at the Plot Scale of Different Fertilizer Systems by Multi-Source Data and Machine Learning Methods

Remote Sensing, 2021
Timely and reliable maize yield prediction is essential for the agricultural supply chain and food security. Previous studies using either climate or satellite data or both to build empirical or statistical models have prevailed for decades.
Linghua Meng, Huanjun Liu, Susan L. Ustin, Xinle Zhang   +3 more
doaj   +1 more source

3D Convolutional Neural Network with Dimension Reduction and Metric Learning for Crop Yield Prediction Based on Remote Sensing Data

Applied Sciences, 2023
Crop yield prediction is essential for tasks like determining the optimal profile of crops to be planted, allocating government resources, effectively planning and preparing for aid distribution, making decisions about imports, and so on.
Ning Wang, Zhong Ma, Pengcheng Huo, Xi Liu, Zhao He, Kedi Lu   +5 more
doaj   +1 more source

Improved Optimization Algorithm in LSTM to Predict Crop Yield

Computers, 2023
Agriculture is the main occupation across the world with a dependency on rainfall. Weather changes play a crucial role in crop yield and were used to predict the yield rate by considering precipitation, wind, temperature, and solar radiation.
Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi   +2 more
doaj   +1 more source

Yield Predict: A Crop Yield Prediction Framework for Smart Farms

International Journal of Advanced Research in Science, Communication and Technology, 2023
In today’s world the most important thing for living in the Indian economy is agriculture.In recent years, machine learning approaches are gaining popularity with the advent of big data. Adoption of these approaches in the agricultural sector has immense potential to increase crop productivity and quality.
null Shinde Shivnanda, null Pawar Nikita, null Dhage Tanaji   +2 more
openaire   +1 more source

An efficient hydro-crop growth prediction system for nutrient analysis using machine learning algorithm

, 2023
The hydro nutrient management (HNM) for crop yield is effectively improved using proposed system. A hydro-crop growth prediction system (HCGPS) is designed using machine learning. The reconfigurable nutrients uptake crop yield prediction rate is enhanced.
Parthasarathy Govindaswamy, Chandana Chikkasiddaiah, Govindaswamy, Parthasarathy, Mallikarjunaswamy Srikantaswamy, Chikkasiddaiah, Chandana, Srikantaswamy, Mallikarjunaswamy   +5 more
core   +1 more source

A ML-AI ENABLED ENSEMBLE MODEL FOR PREDICTING AGRICULTURAL YIELD

Cogent Food & Agriculture, 2022
Simplistic linear methods for predicting crop yield leave out important factors like climate, rainfall, soil, irrigation, and land characteristics.
Seeboli Ghosh Kundu, Anupam Ghosh, Avisek Kundu, Girish G P   +3 more
doaj   +1 more source

Crop Yield Prediction Using Improved Random Forest [PDF]

ITM Web of Conferences, 2023
Agriculture has an important role in India’s economic development. Crop productivity is affected by the rising population and the country’s ever-changing climate. Crop yield estimation is a challenge in the farming sector.
T. Padma, Sinha Dipali
doaj   +1 more source

Crop Yield and Price Prediction

, 2023
Crop yield and price detection are crucial factors in agriculture that affect farmers' income and food production. Machine learning techniques have been increasingly used to predict crop yield and price based on various parameters such as environmental, soil, and crop features.
Dr.Nitha C Vellayudan, Akshay K.P, P.M, Muhamed Adhil, Sivasankar C.A, C.C, Farhan   +4 more
openaire   +1 more source

Artificial Neural Network Based Apple Yield Prediction Using Morphological Characters

Horticulturae, 2023
The yield of the crop is a complex function of a number of dependent traits, which makes yield prediction a statistically difficult task. A number of work on yield prediction using morphological characters already exists in the literature.
Bharti, Pankaj Das, Rahul Banerjee, Tauqueer Ahmad, Sarita Devi, Geeta Verma   +5 more
doaj   +1 more source