Results 61 to 70 of about 37,961 (191)

Crop Selection and it’s Yield Prediction

International Journal of Recent Technology and Engineering (IJRTE), 2020
The field of Agriculture plays a major role in the Indian economy. This sector helps to meet the basic needs of human and their civilization. Hence agriculture would be the enterprise in the globe. Considering the parameters of the agriculture, selection of crops plays a very vital role in farming.
Aksheya Suresh*, K. Monisha, R. Pavithra, Marish Hariswamy. B   +3 more
openaire   +1 more source

Deep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Data [PDF]

The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a stable food supply and food security. In the last few years, many studies have demonstrated that deep learning can offer reliable solutions for crop yield ...
Alamri, Abdullah, Renuganth Varatharajoo, Biswajeet Pradhan, Chakraborty, S, Subrata Chakraborty, Alamri, A, Joshi, Abhasha, Joshi, A, Pradhan, Biswajeet, Gite, Shilpa, Pradhan, B, Gite, S, Chakraborty, Subrata, Varatharajoo, R, Abhasha Joshi, Abdullah Alamri, Varatharajoo, Renuganth, Shilpa Gite   +17 more
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Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning

, 2023
Early and accurate prediction of grain yield is of great significance for ensuring food security and formulating food policy. The exploration of key growth phases and features is beneficial to improving the efficiency and accuracy of yield prediction. In
Xin Du, Guanwei Shi, Qiangzi Li, Yiting Ren, Yuan Zhang, Mengfan Wei, Hongyan Wang   +6 more
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Modelling the impacts of in-field soil and irrigation variability on onion yield [PDF]

, 2013
Globally, onion (Allium cepa L.) represents an extremely important crop in terms of production, value and consumption. Similarly, in the UK onion production is considered to be one of the most important high-value field vegetables, with ca.
Perez Ortola, Marta
core  

Hybrid Machine Learning Models for Crop Yield Prediction

CoRR, 2020
Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based on hybrid machine learning methods. In this study, the performance of the artificial neural networks-imperialist competitive algorithm (ANN-ICA) and artificial neural ...
Saeed Nosratabadi, Imre Felde, Károly Széll, Sina Ardabili, Bertalan Beszedes, Amir Mosavi   +5 more
openaire   +2 more sources

Evaluation of the Integrated Canadian Crop Yield Forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape

, 2015
Early warning information on crop yield and production are very crucial for both farmers and decision-makers. In this study, we assess the skill and the reliability of the Integrated Canadian Crop Yield Forecaster (ICCYF), a regional crop yield ...
Warren, Richard, Newlands, Nathaniel, Davidson, Andrew, Hill, Harvey, Daneshfar, Bahram, Reichert, Gordon, Kouadio, Louis, Qian, Budong, Chipanshi, Aston, Bedard, Frederic, Zhang, Yinsuo   +10 more
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Crop yield prediction with environmental and chemical variables using optimized ensemble predictive model in machine learning

Environmental Research Communications
Enhanced crop yield prediction is necessary for agronomists to make dynamic premonsoon decisions. The input variables precipitation, temperature, evaporation, wind speed, and chemical use influence crop yield estimations.
Nivethitha Krishnadoss, Lokesh Kumar Ramasamy   +1 more
doaj   +1 more source

PREDICTION OF CROP YIELDS ACROSS FOUR CLIMATE ZONES IN GERMANY: AN ARTIFICIAL NEURAL NETWORK APPROACH [PDF]

This paper shows the ability of artificial neural network technology to be used for the approximation and prediction of crop yields at rural district and federal state scales in different climate zones based on reported daily weather data. The method may
Thomas Heinzow, Richard S.J. Tol
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An automated framework to develop field level crop yield prediction models using remote sensing [A case study on the Wonji-Shoa region in the Awash Basin, Ethiopia]

, 2021
Attaining national food security and adopting sustainable agricultural practices has gained unprecedented global attention in recent years. Accurate and reliable crop yield estimates provide quantitative information to decision-makers to formulate ...
Servia, Hemant
core   +1 more source

Predictive Analysis for Crop Yield

Agriculture plays a vital role in providing food and supporting the economy. However, farmers often face problems like unpredictable weather, poor soil conditions, pest attacks, and limited resources. These factors make it difficult to estimate crop yield accurately and result in losses. Traditionally, farmers rely on their personal experience or basic
Dixita Rajpopat, Heet Padhiyar, Rucha Chougule, Yash Kacha, Assistant Professor Zulkifl khairoowala   +4 more
openaire   +2 more sources