Results 51 to 60 of about 163,439 (186)

Crop Yield Prediction using CNN

International Journal of Advanced Research in Science, Communication and Technology
Deep learning is a branch of Machine Learning which is completely based on artificial neural networks, as neural networks are going to mimic the human brain so deep learning is also a kind of mimic of the human brain. Farming is the main occupation of India.
null Ritik Bohra, null Shrunkhal More, null Shwetal Kamat, null Rishabh Pathak, null Prof. Manisha Shitole   +4 more
openaire   +1 more source

Temporary nutrient deficiency - a difficult case for diagnosis and prognosis by plant analysis [PDF]

, 2000
Plant analysis aims to either detect deficiency at the time of sampling (diagnosis) or predict its occurrence at a later stage of growth (prognosis). Its use is based on the presumption that the plant nutrient status will either be constant with plant ...
Bell, R.W.
core   +2 more sources

Estimation of Winter Wheat Yield from UAV-Based Multi-Temporal Imagery Using Crop Allometric Relationship and SAFY Model

Drones, 2021
Crop yield prediction and estimation play essential roles in the precision crop management system. The Simple Algorithm for Yield Estimation (SAFY) has been applied to Unmanned Aerial Vehicle (UAV)-based data to provide high spatial yield prediction and ...
Yang Song, Jinfei Wang, Bo Shan
doaj   +1 more source

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

Yield gap and the shares of climate and crop management in yield and yield variability of staple crops in West Africa. [O-3330b-01] [PDF]

, 2015
" Yield gap " (Yg) is a key concept of agricultural science for identifying the room for improvement of yields through better management of the agroecosystem. in rainfed agriculture Yg is the difference between actual yield (Ya) and the theoretical water
Affholder, François, Kouakou, Patrice Koffi, Muller, Bertrand, Poeydebat, Charlotte, Sultan, B.   +4 more
core  

Weather-Based Crop Yield Prediction

International Journal For Multidisciplinary Research
Agriculture plays a critical role in India’s economy, providing livelihoods to millions of people and contributing significantly to the nation’s GDP. In fact, agriculture is able to support 45% of India’s employed labor force. However, Indian farmers face numerous challenges, including unpredictable weather which leads to poor yields, often leading to ...
Dhyey Mehta -, Juyon Lee -
openaire   +1 more source

Crop Yield Prediction Using Machine Learning

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Agriculture yield increase and agroindustry goods account for the majority of India's economy. They are the economic backbones of agricultural countries. Yield prediction is a crucial topic in agriculture. Any farmer wants to know what kind of harvest he may expect.
Gagan M, Ganta Narendra Reddy, Kethan S. A, Kiran. K   +3 more
openaire   +1 more source

A sensitivity analysis of the prediction of the nitrogen fertilizer requirement of cauliflower crops using the HRI WELL_N computer model [PDF]

, 2001
HRI WELL_N is an easy to use computer model, which has been used by farmers and growers since 1994 to predict crop nitrogen (N) requirements for a wide range of agricultural and horticultural crops.
Draycott, A. Philip (Arthur Philip), Lillywhite, Robert, Mead, A. (Andrew), Rahn, C. (Clive), Salo, T.   +4 more
core   +1 more source

Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum. [PDF]

, 2020
The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum
Brown, Patrick J, Buckler, Edward S, Dos Santos, Jhonathan PR, Fernandes, Samuel B, Garcia, Antonio AF, Gore, Michael A, Leakey, Andrew DB, Lozano, Roberto, McCoy, Scott   +8 more
core   +2 more sources

In-season crop yield prediction: State of the art and future research direction

International Journal of Applied Earth Observations and Geoinformation
Accurate in-season crop yield prediction is important for farm management, insurance planning, and food security decision making. Many studies have proposed different models and data sources, but their findings are difficult to compare because they focus
Ziao Liu, Liping Di, Ruixin Yang, Liying Guo, Chen Zhang, Hui Li, Bosen Shao   +6 more
doaj   +1 more source